Skip to main content

Electrical Networks: An Introduction

  • Chapter
  • First Online:
Networks of Networks: The Last Frontier of Complexity

Part of the book series: Understanding Complex Systems ((UCS))

Abstract

A world without electricity is beyond our imagination. Starting from the prehistoric times, man has made much progress in every walk of life. We have become accustomed to getting everything at the flick of a switch, touch of a button, or turn of a knob. While we have become so used to enjoying the benefits of electricity, it is not easy to imagine how electricity travels from its source to our homes and offices. It sometimes has to cover large distances through a complex network of transmission lines and power substations to provide us the facilities and entertainment that we take for granted. This network which transports electricity from the source to the consumers is called the electrical network. The electrical network is a collective term for different components such as transformers, transmission lines, substations, and different stages and sub-networks devoted to generation, transmission, and distribution. Sometimes, there may be sub-transmission and secondary distribution networks too. A simple schematic of an electric network is shown in Fig. 8.1. In the past decade, analysis of the electrical power system as a complex network has been an evolving and challenging topic of research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kundur, P.: Power System Stability and Control, Chapter 1: General Characteristics of Modern Power Systems, McGraw-Hill, Inc.

    Google Scholar 

  2. Swarankar, A., Gupta, N., Niazi, K. R.: Efficient Reconfiguration of Distribution Systems Using Ant Colony Optimization Adapted by Graph Theory, Proceedings of the IEEE Power and Energy Society General Meeting, Detroit, MI, (2011).

    Google Scholar 

  3. U.S.-Canada Power System Outage Task Force: Final Report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations,http://energy.gov/sites/prod/files/oeprod/DocumentsandMedia/BlackoutFinal-Web.pdf, (2004).

  4. Larsson, S., and Ek, E.: The Blackout in Southern Sweden and Eastern Denmark, September 23, 2003, Proceedings of the IEEE Power Engineering Society General Meeting, Denver, CO, (2004).

    Google Scholar 

  5. Johnson, C. W.: Analysing the Causes of the Italian and Swiss Blackout, 28th September, 2003, Proceedings of the 12th Australian Workshop on Safety Critical Systems and Software-Related Programmable Systems, Adelaide, Australia, (2007).

    Google Scholar 

  6. World Energy Council, http://www.worldenergy.org/focus/blackouts/390.asp.

  7. Christie, R. D.: University of Washington Power Systems Test Case Archive, http://www.ee.washington.edu/research/pstca/.

  8. Gungor, B. R.: Power Systems - Chapter 6, Technology Publications, (1988).

    Google Scholar 

  9. National Grid Transco: Investigation Report into the Loss of Supply Incident Affecting Parts of South London at 18:20 on Thursday, 28 August 2003, http://www2.tech.purdue.edu/eet/courses/eet331/blackout/London03BlackoutExecutiveSummary.pdf, (2003).

  10. Union for the Coordination of the Transmission of Electricity: Final Report of the Investigation Committee on the 28th September 2003 Blackout in Italy, http://www.rae.gr/old/cases/C13/italy/UCTE_rept.pdf, (2004).

  11. Massive Blackout Hits Java, Bali, The Jakarta Post, http://www.thejakartapost.com/news/2005/08/19/massive-blackout-hits-java-bali.html, (2005).

  12. European Regulators’ Group for Electricity and Gas: ERGEG Final Report - The Lessons to be Learned from the Large Disturbance in the European Power System on the 4th of November 2006, http://www.energy-regulators.eu/portal/page/portal/EER_HOME/EER_PUBLICATIONS/CEER_PAPERS/Electricity/2007/E06-BAG-01-06_Blackout-FinalReport_2007-02-06.pdf, (2007).

  13. Melting in Zanzibar’s Blackout, BBC News, http://news.bbc.co.uk/2/hi/africa/7427957.stm, (2008).

  14. Lyons, J.: Brazil Blackout Sparks Infrastructure Concerns, The Wall Street Journal, http://online.wsj.com/article/SB125798817743744475.html, (2009).

  15. Widespread Power Blackout Hits Chile, CNN World, http://www.cnn.com/2010/WORLD/americas/03/14/chile.blackout/index.html, (2010).

  16. Fire Cuts Power to Thousands of Portsmouth Homes, BBC News, http://www.bbc.co.uk/news/10423764, (2010).

  17. Tripping of Taramani Substation Causes Blackout, The Hindu, http://www.thehindu.com/news/cities/chennai/tripping-of-taramani-substation-causes-blackout/article423673.ece, (2010).

  18. Heatwave Causes Massive Power Outages, The Huffington Post, http://www.huffingtonpost.com/2011/09/15/south-korea-heat-wave_n_963922.html, (2011).

  19. Watson, I., and Comert, Y.: Istanbul Blackout Leaves Millions in Dark, CNN, http://edition.cnn.com/2012/01/14/world/meast/turkey-blackout/, (2012).

  20. Ministry of Power: Report of the Enquiry Committee on Grid Disturbance in Northern Region on 30th July, 2012 and in Northern, Eastern and North-Eastern Region on 31st July, 2012, http://www.powermin.nic.in/pdf/GRID_ENQ_REP_16_8_12.pdf, (2012).

  21. Sachtjen, M. L., Carreras, B. A., and Lynch, V. E.: Disturbances in a Power Transmission System, Physical Review E, 61(5), (2000), 4877–4882.

    Google Scholar 

  22. Motter, A. E., and Lai, Y-C.: Cascade-based Attacks on Complex Networks, Physical Review E, 66, (2002), 065102.

    Google Scholar 

  23. Holme, P., and Kim, B. J.: Vertex Overload Breakdown in Evolving Networks, Physical Review E, 65 (2002), 066109.

    Google Scholar 

  24. Crucitti, P., Latora, V., and Marchiori, M.: Model for Cascading Failures in Complex Networks, Physical Review E, 69 (2004), 045104.

    Google Scholar 

  25. Latora, V., and Marchiori, M.: Efficient Behavior of Small-World Networks, Physical Review Letters, 87 (2001), 198701.

    Google Scholar 

  26. Crucitti, P., Latora, V., and Marchiori, M.: A Topological Analysis of the Italian Electric Power Grid, Physica A, 338 (2004), 92–97.

    Google Scholar 

  27. Albert, R., Albert, I., and Nakarado, G. L.: Structural Vulnerability of the North American Power Grid, Physical Review E, textbf69 (2004), 025103.

    Google Scholar 

  28. Amaral, L. A. N., Scala, A., Barthelemy, M., and Stanley, H. E.: Classes of Small-World Networks, Proceedings of the National Academy of Science USA, 97 (2000), 11149.

    Google Scholar 

  29. Motter, A. E., Nishikawa, T., and Lai, Y. C.: Range-Based Attacks on Links in Scale-Free Networks: Are Long-Range Links Responsible for the Small-World Phenomenon?, Physical Review E, 66 (2002), 065103.

    Google Scholar 

  30. Pinar, A., Meza, J., Donde, V., Lesieutre, B.: Optimization Strategies for the Vulnerability Analysis of the Electric Power Grid, SIAM Journal on Optimization, 20 (2011), 1786–1810.

    Google Scholar 

  31. Holmgren, A. J.: Using Graph Models to Analyze the Vulnerability of Electric Power Networks, Risk Analysis, 26 (2006), 955–969.

    Google Scholar 

  32. Erdos, P., and Renyi, A.: On the Evolution of Random Graphs, Publications of the Mathematical Institute of the Hungarian Academy of Sciences, 5 (1960), 17–61.

    Google Scholar 

  33. Barabasi, A. L., and Albert, R.: Emergence of Scaling in Random Networks, Science, 286 (1999), 509–512.

    Google Scholar 

  34. Sole, R. V., Rosas-Calas, M., Corominas-Murtra, B., Valverde, S.: Robustness of the European Power Grids Under Intentional Attack, Physical Review E, 77 (2008), 026102.

    Google Scholar 

  35. Carreras, B. A., Newman, D. E., Dobson, I., and Poole, A. B.: Initial Evidence for Self-Organized Criticality in Electric Power System Blackouts, Proceedings of the 33rd Hawaii International Conference on System Sciences, Maui, Hawaii, (2000).

    Google Scholar 

  36. Carreras, B. A., Lynch, V. E., Dobson, I., Newman, D. E.: Critical Points and Transitions in an Electric Power Transmission Model for Cascading Failure Blackouts, CHAOS, 12 (2002), 985–994.

    Google Scholar 

  37. Carreras, B. A., Newman, D. E., Dobson, I., and Poole, A. B.: Evidence for Self-Organized Criticality in a Time Series of Electric Power System Blackouts, IEEE Transactions on Circuits and Systems - I : Regular Papers, 51, (2004), 1733–1740.

    Google Scholar 

  38. Kim, J., Dobson, I.: Propagation of Load Shed in Cascading Line Outages Simulated by OPA, Proceedings of the IEEE Workshop on Complexity in Engineering, Rome, Italy, (2010).

    Google Scholar 

  39. Motter, A. E.: Cascade Control and Defense in Complex Networks, Physical Review Letters, 93 (2004), 098701.

    Google Scholar 

  40. Tamronglak, S., Horowitz, S. H., Phadke, A. G., and Thorp, J. S.: Anatomy of Power System Disturbances: Preventive Relaying Strategies, IEEE Transactions on Power Delivery, 11 (1996), 708–715.

    Google Scholar 

  41. Bae, K., and Thorp, J. S.: A Stochastic Study of Hidden Failures in Power System Protection, Decision Support Systems, 24 (1999), 259–268.

    Google Scholar 

  42. Wang, H., and Thorp, J. S.: Enhancing Reliability of Power Protection Systems Economically in the Post-Restructuring Era, Proceedings of the 32nd North American Power Symposium, Ontario, Canada, (2000).

    Google Scholar 

  43. Chen, J., and Thorp, J. S.: A Reliability Study of Transmission System Protection via a Hidden Failure DC Load Flow Model, Proceedings of the IEEE 5th International Conference on Power System Management and Control, (2002).

    Google Scholar 

  44. Chen, J., Thorp, J. S., and Dobson, I.: Cascading Dynamics and Mitigation Assessment in Power System Disturbances via a Hidden Failure Model, Electrical Power and Energy Systems, 27 (2005), 318–326.

    Google Scholar 

  45. Chen, G., Dong Z. Y., Hill, D. J., Zhang, G. H., and Hua, K. Q.: Attack Structural Vulnerability of Power Grids: A Hybrid Approach Based on Complex Networks, Physica A, 389 (2010), 595–603.

    Google Scholar 

  46. Carreras, B. A., Lynch, V. E., Newman, D. E., Dobson, I.: Blackout Mitigation Assessment in Power Transmission Systems, Proceedings of the Hawaii International Conference in System Sciences, Big Island, Hawaii, (2003).

    Google Scholar 

  47. Pahwa, S., Scoglio, C., Schulz, N.: Topological Analysis and Mitigation Strategies for Cascading Failures in Power Grid Networks, http://arxiv.org/submit/619427/view.

  48. Beinstock, D.: Optimal Control of Cascading Power Grid Failures, Proceedings of the 50th IEEE Conference on Decision and Control, Orlando, FLA, (2011).

    Google Scholar 

  49. Chen, X., Sun, K., Cao, Y., and Wang, S.: Identification of Vulnerable Lines in Power Grid Based on Complex Network Theory, IEEE Power Engineering Society General Meeting, Tampa, FLA, (2007).

    Google Scholar 

  50. Newman, M. E. J.: A Measure of Betweenness Centrality Based on Random Walks, Social Networks, 27 (2005), 39–54.

    Google Scholar 

  51. Hines, P., and Blumsack, S.: A Centrality Measure for Electrical Networks, Proceedings of the 41st Annual Hawaii International Conference on System Sciences, Big Island, Hawaii, (2008).

    Google Scholar 

  52. Newman, M. E. J: The Structure and Function of Complex Networks, SIAM Review, 45:2 (2003), 167–256.

    Google Scholar 

  53. Albert, R., and Barabasi, A.: Statistical Mechanics of Complex Networks, Reviews of Modern Pysics, 74 (2002), 47–97.

    Google Scholar 

  54. Rosato, V., Bologna, S., and Tiriticco, F.: Topological Properties of High-Voltage Electrical Transmission Networks, Electric Power Systems Research, 77 (2007), 99–105.

    Google Scholar 

  55. Chassin, D. P., Posse, C.: Evaluating North American Electric Grid Reliability Using the Barabasi-Albert Network Model, Physica A, 355 (2005), 667–677.

    Google Scholar 

  56. Wang, Y., Zhao, J., Zhang, F., and Lei, B.: Study of Structural Vulnerabilities of Power Grids Based on the Electrical Distance, Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, Tianjin, China, (2012).

    Google Scholar 

  57. Wang, Z., Scaglione, A., and Thomas, R. J.: Electrical Centrality Measures for Electric Power Grid Vulnerability Analysis, Proceedings of the 49th IEEE Conference on Decision and Control, Atlanta, GA, (2010).

    Google Scholar 

  58. Arianos, S., Bompard, E., Carbone, A., and Xue, F.: Power Grid Vulnerability: A Complex Network Approach, CHAOS, 19 (2009), 013119.

    Google Scholar 

  59. Bompard, E., Napoli, R., and Xue, F.: Analysis of Structural Vulnerabilities in Power Transmission Grids, International Journal of Critical Infrastructure Protection, 2 (2009), 5–12.

    Google Scholar 

  60. Hines, P., Cotilla-Sanchez, E., Blumsack, S.: Do Topological Models Provide Good Information About Electricity Infrastructure Vulnerability?, CHAOS, 20 (2010), 033122.

    Google Scholar 

  61. Youssef, M., Scoglio, C., and Pahwa, S.: Robustness Measure for Power Grids with Respect to Cascading Failures, Proceedings of the International Workshop on Modeling, Analysis, and Control of Complex Networks - 23rd International Teletraffic Congress, San Fransisco, CA, (2011).

    Google Scholar 

  62. Ren, H., Dobson, I., and Carreras, B. A.: Long-Term Effect of the N-1 Criterion on Cascading Line Outages in an Evolving Power Transmission Grid, IEEE Transactions on Power Systems, 23 (2008), 1217–1225.

    Google Scholar 

  63. Wang, Z., Scaglione, A., and Thomas, R. J.: Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks, IEEE Transactions on Smart Grid, 1 (2012), 28–39.

    Google Scholar 

  64. Hines, P., Blumsack, S., Cotilla-Sanchez, E., and Barrows, C.: The Topological and Electrical Structure of Power Grids, Proceedings of the 43rd IEEE Hawaii International Conference on System Sciences, Kauai, Hawaii, (2010).

    Google Scholar 

  65. Barrat, A., Barthelemy, M., and Vespignani, A.: Dynamical Processes on Complex Networks, Cambridge University Press, (2008).

    Google Scholar 

  66. Jackson, M. O.: Social and Economic Networks, Princeton University Press, (2008).

    Google Scholar 

  67. Bender, E. A., and Canfield, E. R.: The Asymptotic Number of Labeled Graphs with Given Degree Sequences, Journal of Combinatorial Theory, Series A, 24 (1978), 296–307.

    Google Scholar 

  68. World Energy Council: Smart Grids: Best Practice Fundamentals for a Modern Energy Society, http://www.worldenergy.org/documents/20121006_smart_grids_best_practice_fundamentals_for_a_modern_energy_system.pdf, (2012).

  69. World Energy Council: Interconnectivity: Benefits and Challenges, http://www.worldenergy.org/documents/interconexsum.pdf, (2010).

  70. HadjSaid, N., Tranchita, C., Rozel, B., Viziteu, M., and Caire, R.: Modeling Cyber and Physical Interdependencies - Application in ICT and Power Grids, Proceedings of the IEEE PES Power Systems Conference and Exposition, (2009).

    Google Scholar 

  71. Kubler, S., Pahwa, S., Schulz, N., and Scoglio, C.: A Simulative Analysis of the Robustness of Smart Grid Communication Networks, Proceedings of the North American Power Symposium, Boston, MA, (2011).

    Google Scholar 

  72. Buldyrev, S. V., Parshani, R., Paul, G., Stanley, H. E., and Havlin, S.: Catastrophic Cascade of Failures in Interdependent Networks, Nature, 464 (2010), 1025–1028.

    Google Scholar 

  73. Parshani, R., Buldyrev, S. V., and Havlin, S.: Interdependent Networks: Reducing the Coupling Strength Leads to a Change from a First to Second Order Percolation Transition, Physical Review Letters, 105 (2010), 048701.

    Google Scholar 

  74. Gao, J., Buldyrev, S. V., Stanley, H. E., and Havlin, S.: Networks Formed from Interdependent Networks, Nature Physics, 8 (2012), 40–48.

    Google Scholar 

  75. Brummitt, C. D., D’Souza, R. M., Leicht, E. A.: Suppressing Cascades of Load in Interdependent Networks, Proceedings of the National Academy of Sciences USA, 109 (2011).

    Google Scholar 

  76. Fan, N., Izraelevitz, D., Pan, F., Pardalos, P. M., and Wang, J.: A Mixed Integer Programming Approach for Optimal Power Grid Intentional Islanding, Energy Systems, 3 (2012), 77–93.

    Google Scholar 

  77. Trodden, P. A., Bukhsh, W. A., Grothey, A., and McKinnon, K. I. M.: MILP Formulation for Islanding of Power Networks, IEEE Transactions on Power Systems: In Print.

    Google Scholar 

  78. Hamad, I. A., Israels, B., Rikvold, P. A., and Poroseva, S. V.: Spectral Matrix Methods for Partitioning Power Grids: Applications to the Italian and Floridian High-Voltage Networks, Physics Procedia, 4 (2010), 125–129.

    Google Scholar 

  79. Hamad, I. A., Rikvold, P. A., and Poroseva, S. V.: Floridian High-Voltage Power-Grid Network Partitioning and Cluster Optimization using Simulated Annealing, Physics Procedia, 15 (2011), 2–6.

    Google Scholar 

  80. Rozel, B., Caire, R., Hadjsaid, N., Rognon, J-P.: Complex Network Theory and Graph Partitioning: Application to Large Interconnected Networks, Proceedings of the IEEE Bucharest Power Tech Conference, Bucharest, Romania, (2009).

    Google Scholar 

  81. Peiravi, A., and Ildarabadi, R.: A Fast Algorithm for Intentional Islanding of Power Systems using the Multilevel Kernel k-means Approach, Journal of Applied Sciences, 9 (2009), 2247–2255.

    Google Scholar 

  82. Yang, B., Vittal, V., and Heydt, G. T.: Slow-Coherency-Based Controlled Islanding - A Demonstration of the Approach on the August 14, 2003 Blackout Scenario, IEEE Transactions on Power Systems, 21 (2006), 1840–1847.

    Google Scholar 

  83. Wang, X., and Vittal, V.: System Islanding Using Minimal Cutsets with Minimal Net Flow, Proceedings of the IEEE PES Power Systems Conference and Exposition, New York City, NY, (2004).

    Google Scholar 

  84. Hahn, W. C.: Load Studies on the D-C Calculating Table, General Electric Review, 34 (1931).

    Google Scholar 

  85. Stott, B., Jardim, J., and Alsac, O.: DC Power Flow Revisited, IEEE Transactions on Power Systems, 24 (2009), 1290–1300.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Pahwa .

Editor information

Editors and Affiliations

Appendix: Electrical Network Terminology and Models for Analysis

Appendix: Electrical Network Terminology and Models for Analysis

1.1 Phasor Representation

The voltage and current in electrical power systems are sinusoidal quantities that vary with time at the same frequency. A sinusoidal voltage \(v(t)\) and a sinusoidal current \(i(t)\) are expressed as follows:

$$\begin{aligned} v(t)&= V_{m}cos(\omega t + \delta )\end{aligned}$$
(8.1)
$$\begin{aligned} i(t)&= I_{m} cos(\omega t + \beta ) \end{aligned}$$
(8.2)

where \(V_{m}\) and \(I_{m}\) are the maximum voltage and current, \(\omega \) is the angular speed, and \(\delta \) and \(\beta \) are the phase shift of the voltage and current, respectively.

The voltage is expressed in Volt. However, power systems operate on voltages that range from several 1,000s to 100,000s of Volt. Consequently, it is more convenient to express the voltage in KiloVolt (KV). Electrical current is measured in Ampere (A), the angular speed in radian per second (rad/sec), and the phase shift in radian (rad). The angular speed is proportional to the electrical frequency \(f\), which is the number of cycles per second, expressed in Hertz (Hz). The relationship between the angular speed and the frequency is

$$\begin{aligned} \omega = 2 \pi f. \end{aligned}$$
(8.3)

As the voltage and current have the sinusoidal form at steady state, it is convenient to express the magnitude and phase angle of the voltage in a complex number form called a phasor. A phasor is developed using the Euler’s identity as follows:

$$\begin{aligned} e^{\pm j\phi }=cos\phi \pm j sin\phi . \end{aligned}$$
(8.4)

The terms \(cos\phi \) and \(sin\phi \) are the real and imaginary parts and they are denoted by \(Re\{e^{j\phi }\}\) and \(Im\{e^{j\phi }\}\), respectively. Therefore, the voltage and current can be written in the phasor form as follows

$$\begin{aligned} v(t)&= Re\{V_{m}e^{j(\omega t + \delta )}\} = Re\{V_{m}e^{j\omega t} e^{j\delta }\} \end{aligned}$$
(8.5)
$$\begin{aligned} i(t)&= Re\{I_{m}e^{j(\omega t + \beta )}\} = Re\{I_{m}e^{j\omega t} e^{j\beta }\}. \end{aligned}$$
(8.6)

Since both the voltage and current have the same frequency, the component \(e^{j\omega t}\) becomes less important, and for convenience it is enough to express the voltage and current in terms of their magnitude and phase shift using the following form

$$\begin{aligned} V&= V_{m}e^{j\delta } = V_{m} \angle \delta \end{aligned}$$
(8.7)
$$\begin{aligned} I&= I_{m}e^{j\beta } = I_{m} \angle \beta . \end{aligned}$$
(8.8)

The voltage and current are usually represented through their effective values, called the root-mean-square (rms) values. The effective phasor representations of the voltage and current are

$$\begin{aligned} V&= \frac{V_{m}}{\sqrt{2}} e^{j\beta } = |V|e^{j\beta } \end{aligned}$$
(8.9)
$$\begin{aligned} I&= \frac{I_{m}}{\sqrt{2}} e^{j\delta } = |I|e^{j\delta } \end{aligned}$$
(8.10)

where \(|V|=\frac{V_{m}}{\sqrt{2}}\) and \(|I|=\frac{I_{m}}{\sqrt{2}}\) are the rms values for the sinusoidal form of the voltage and current. The rms voltage phasor and rms current phasor can be written in the rectangular form as follows

$$\begin{aligned} V&= |V|(cos \delta + j sin \delta ) \end{aligned}$$
(8.11)
$$\begin{aligned} I&= |I|(cos \beta + j sin \beta ). \end{aligned}$$
(8.12)

1.2 Instantaneous Power

The electrical power is the work done by the electrical system in unit time. It is a function of both the voltage and current. The unit of electrical power is Watt, however it is convenient to use MegaWatt (MW) when dealing with large amounts of power generation and loads. In a closed circuit with a voltage source and a load, the instantaneous power \(p(t)\) that is absorbed by the load is the product of the instantaneous voltage difference across the load and the instantaneous current passing through the load. Mathematically, the instantaneous power is evaluated as follows

$$\begin{aligned} p(t)&= v(t) i(t)\\&= V_{m}cos(\omega t + \delta )I_{m}cos(\omega t+\beta )\nonumber \\&= \frac{V_{m}I_{m}}{2}[cos(\delta -\beta )+cos(2(\omega t+\delta )-(\delta -\beta ))] \nonumber \\&= \frac{V_{m}I_{m}}{2}cos(\delta -\beta )[1+cos(2(\omega t+\delta ))]\nonumber \\&\quad +\frac{V_{m}I_{m}}{2}sin(\delta -\beta )[sin(2(\omega t+\delta ))]\nonumber \end{aligned}$$
(8.13)

The instantaneous power is composed of two components as shown in Eq. (8.13). Assume that the phase angle difference \(\delta -\beta \) is constant. The first component is sinusoidal function with a frequency that is twice the frequency of the voltage and current. The maximum value equals \(V_{m}I_{m}cos(\delta -\beta )\) and the minimum value equals zero. The constant term \(\frac{V_{m}I_{m}}{2}cos(\delta -\beta )\) represents the average power, while the time-varying sinusoidal function has zero average. We refer to the first component as the instantaneous active power. The second component is time-varying sinusoidal function with zero mean value, twice the frequency of the voltage and current, and maximum value of \(\frac{V_{m}I_{m}}{2}sin(\delta -\beta )\). This component is called the reactive power, which represents the power that oscillates with twice the frequency of the voltage and current between the reactive components in the power systems that stores the electrical energy and the power generation. In other words, the component of complex power, that averaged over a complete cycle of the AC waveform, causes a net transfer of energy in one direction is known as real power. The component of complex power due to stored energy, which returns to the source in each cycle, is known as reactive power.

Using the rms values for the voltage and current, the active power \(P\) and the reactive power \(Q\) are as follows

$$\begin{aligned} P&= |V||I|cos(\delta -\beta ) \end{aligned}$$
(8.14)
$$\begin{aligned} Q&= |V||I|sin(\delta -\beta ). \end{aligned}$$
(8.15)

The cosine of the phase angle difference \(cos(\delta -\beta )\) is called the power factor. The unit of the active power is Watt, while the unit of the reactive power is Volt-Ampere Reactive (VAR). Let us assume that there are three cases for loads:

  • Resistive load: There is no phase angle difference between the voltage and current. Therefore, the power factor is 1, and the active power is \(|V||I|\), while the reactive power equals zero because there is no reactive load elements that can store the electrical energy.

  • Inductive load: The voltage phase angle leads the current phase angle by \(90\,^{\circ }\) i.e. \(\delta -\beta = \frac{\pi }{2}\). The reactive power is \(|V||I|\), while the active power is zero because there is not resistive load elements that can consume the active power.

  • Capacitive load: The voltage phase angle lags the current phase angle by \(90\,^{\circ }\) i.e. \(\delta -\beta = -\frac{\pi }{2}\). The reactive power \(-|V||I|\), while the active power is zero.

The complex power is defined as a complex number with a real part representing the active power and an imaginary part representing the reactive power as follows

$$\begin{aligned} \mathbf {S}&= P+jQ \end{aligned}$$
(8.16)
$$\begin{aligned} \mathbf {S}&= \mathbf {VI^{*}} \end{aligned}$$
(8.17)

where \(I^{*}\) is the complex conjugate of the current \(\mathbf {I}\). The apparent power \(S\) is the magnitude of the complex power

$$\begin{aligned} S&= \sqrt{P^{2}+Q^{2}} \end{aligned}$$
(8.18)
$$\begin{aligned}&= |V||I|(cos^{2}(\delta -\beta ) + sin^{2}(\delta -\beta )) \end{aligned}$$
(8.19)
$$\begin{aligned}&= |V||I|. \end{aligned}$$
(8.20)

The complex power and the apparent power are related through the following equation

$$\begin{aligned} \mathbf {S}=S(cos({\delta -\beta })+sin(\delta -\beta )) \end{aligned}$$
(8.21)

The unit of both the complex power and the apparent power is Volt-Ampere (VA).

1.3 Per Unit System

Any power grid is composed of 100s of electrical elements such as transmission lines, transformers, circuit breakers and shunt impedances. Every element can be represented using the ideal form in which it is lossless; however, the ideal form hides many details that influence the performance of a power system. On the other hand, a detailed representation of each element will account for the amount of electrical power loss. Computationally, analysis of detailed representation of power grids is not trivial. Therefore, voltage, current, and power are normalized with respect to their base values, and they become “per unit values”. The “per unit” method is a very powerful method for analyzing the power grid because (1) it can be applied to a detailed representation of a power grid, thus reducing the error, and (2) it can be systematically applied to different circuits throughout the power grid, and each circuit has its voltage value close to the normal value. The per unit value is defined as follows

$$\begin{aligned} \text{ Per } \text{ unit } \text{ value }&= \frac{\text {Actual value}}{\text {Base value}}. \end{aligned}$$
(8.22)

Both the actual value and the base value have the same dimension, while the per unit value is dimensionless. Traditionally, the base value of the complex power is arbitrarily chosen, and the per unit value becomes as follows

$$\begin{aligned} \frac{\mathbf {S}}{S_{base}}&= \frac{\mathbf {VI^{*}}}{S_{base}}\end{aligned}$$
(8.23)
$$\begin{aligned} \frac{S\angle \theta }{S_{base}}&= \frac{V\angle \delta I\angle -\beta }{S_{base}}. \end{aligned}$$
(8.24)

The base complex power is defined as

$$\begin{aligned} S_{base}&= V_{base} I_{base}. \end{aligned}$$
(8.25)

In addition to the base complex power, either the base voltage or the base current is arbitrarily chosen. Because a power grid is composed of multiple circuits, each has a voltage level, the base voltage is usually proposed, and the based current is evaluated using Eq. (8.25). Using the base values for the complex power, voltage, and current, Eq. (8.24) becomes as follows

$$\begin{aligned} \mathbf {S_{pu}}&= \mathbf {V_{pu}} \mathbf {I_{pu}^{*}}. \end{aligned}$$
(8.26)

We notice that the phase angles do not change using the per unit system, showing that the per unit system is only applied to the magnitude values. The base impedance becomes as follows

$$\begin{aligned} Z_{base}&= \frac{V_{base}}{I_{base}}\end{aligned}$$
(8.27)
$$\begin{aligned}&= \frac{V_{base}^{2}}{S_{base}}. \end{aligned}$$
(8.28)

We further obtain the per unit impedance as follows

$$\begin{aligned} \mathbf {Z}&= \frac{\mathbf {V}}{\mathbf {I}} \end{aligned}$$
(8.29)
$$\begin{aligned} \frac{\mathbf {Z}}{Z_{base}}&= \frac{\mathbf {V}/V_{base}}{\mathbf {I}/I_{base}}\end{aligned}$$
(8.30)
$$\begin{aligned} \mathbf {Z_{pu}}&= \frac{\mathbf {V_{pu}}}{\mathbf {I_{pu}}} \end{aligned}$$
(8.31)
$$\begin{aligned} \mathbf {Z_{pu}}&= \frac{R+jX}{Z_{base}} \end{aligned}$$
(8.32)
$$\begin{aligned} \mathbf {Z_{pu}}&= R_{pu} + jX_{pu}. \end{aligned}$$
(8.33)

We notice that the resistance and the reactance have the same base value, which is base impedance

$$\begin{aligned} Z_{base} = R_{base} = X_{base}. \end{aligned}$$
(8.34)

Similarly, the active power and the reactive power have the same base value as follows

$$\begin{aligned} P_{base} = Q_{base} = S_{base}. \end{aligned}$$
(8.35)

The base complex power is usually expressed in MVA, while the base voltage is expressed in KV. Therefore, it is worth noticing that the base current is in KA, and the base impedance is in Ohm.

1.4 Transformers and Transmission Lines

Electrical power is generated at low voltage level leading to increase in the power loss which is proportional to \(I^{2}\) in the transmission systems. On the other hand, loads do not require high voltages for operation. Transformers are used to step up the voltage from the generation side to the transmission side. Similarly, transformers step down the voltage from the transmission side to the distribution side. Below, we discuss the operation and the representation of the transformers and the transmission lines in more details.

1.4.1 Transformers

A transformer is composed of a primary side and a secondary side. Each side is connected with a winding coil that generates magnetic field, which in turn creates electric current and voltage across the secondary coil. The equivalent circuit of a practical transformer is composed of winding resistance and leakage reactance on each side in which the reactance is added in series with the resistance. In addition, there is power loss in the magnetizing equivalent circuit due to hysteresis current losses. In an ideal transformer, the internal resistances, reactances, and the magnetization circuits are neglected, and the transformer becomes lossless. A practical representation of the transformer is to neglect the magnetization circuit because the magnetizing current is very small compared to the rated current, and to consider the resistances and the reactances of the primary and secondary sides. For transformers that handle large power, the internal resistances become very small compared to the reactance. Thus the internal resistance can be neglected.

Denote the voltages across the primary and secondary coils as \(\mathbf {E_{1}}\) and \(\mathbf {E_{2}}\), respectively. In addition, denote the currents in the primary and secondary sides as \(\mathbf {I_{1}}\) and \(\mathbf {I_{2}}\), respectively. Let the ratio between number of turns in the primary side to number of turns in the secondary side be \(n\). The fact that the complex power at each side of the transformer is preserved, the voltages and currents at both sides are related as follows

$$\begin{aligned} \frac{\mathbf {E_{1}}}{\mathbf {E_{2}}} = \frac{\mathbf {I_{2}}}{\mathbf {I_{1}}} = n. \end{aligned}$$
(8.36)

The reactance of the secondary side \(x_{2}\) seen from the primary side is \(n^{2} x_{2}\). Therefore, the equivalent reactance of the transformer seen at the primary side is the sum of the reactance at the primary side and \(n^{2} x_{2}\). The transformer can be represented in terms of per unit as follows

$$\begin{aligned} \frac{V_{base1}}{V_{base2}}&= n \end{aligned}$$
(8.37)
$$\begin{aligned} \mathbf {E_{1pu}}&= \frac{\mathbf {E_{1}}}{V_{base1}} \end{aligned}$$
(8.38)
$$\begin{aligned} \mathbf {E_{2pu}}&= \frac{\mathbf {E_{2}}}{V_{base2}} \end{aligned}$$
(8.39)
$$\begin{aligned} \mathbf {E_{2pu}}&= \frac{\mathbf {E_{1}}/n}{V_{base1}/n} \end{aligned}$$
(8.40)
$$\begin{aligned} \mathbf {E_{2pu}}&= \mathbf {E_{1pu}}. \end{aligned}$$
(8.41)

Similarly, the per unit currents at each side of the transformers are equal. To study the per unit representation of the reactance in the primary side, we have

$$\begin{aligned} x_{2}&= \frac{x_{1}}{n^{2}} \end{aligned}$$
(8.42)
$$\begin{aligned} x_{1pu}&= \frac{x_{1}}{Z_{base1}} \end{aligned}$$
(8.43)
$$\begin{aligned} x_{1pu}&= \frac{x_{1}}{V_{base1}^{2}/S_{base}} \end{aligned}$$
(8.44)
$$\begin{aligned} x_{1pu}&= \frac{x_{2} n^{2}}{V_{base1}^{2}/S_{base}} \end{aligned}$$
(8.45)
$$\begin{aligned} x_{1pu}&= \frac{x_{2}}{Z_{base2}} = x_{2pu}. \end{aligned}$$
(8.46)

Therefore, the per unit value of the reactance on one side of the transformer is used when studying the integration of the transformer in the single phase diagram.

1.4.2 Transmission lines

Transmission lines are responsible for transferring the generated power from the generation side to the loads. Depending on the length of the transmission line, the operating voltage is set to reduce the amount of power loss in the lines. Transmission lines with short length require lower voltages than long transmission lines. Transmission lines are classified to short-length, medium-length and long transmission line. A transmission line has an equivalent resistance, inductance, and capacitance. The equivalent \(\pi \)-model is used to represent the transmission lines in the grid. In \(\pi \)-model, the resistance and the inductance are connected in series, and the equivalent capacitance is connected in parallel at the sending and receiving ends of the lines. In short-length transmission lines, the capacitance is neglected, and the transmission line is represented using the series connection of the resistance and reactance. In medium-length transmission lines, half of the total equivalent capacitance is represented at each end of the line, while the series resistance and reactance connection exists between the two ends of the line.

The analysis of the electrical power grid has to be done through a power flow model which can solve the optimal load flow problem considering all the elements described above. In the next two subsections, we discuss two such models for solving the power flow problem.

1.5 AC Power Flow Model

To study the power flow in the power grid, assume that the generators, transmission lines and loads locations are given. First we would like to classify the buses into three groups:

  • Slack bus: A slack bus produces enough active and reactive power to match the system needs. The voltage and angle at the slack bus are 1 p.u. and zero, respectively, while the generated power \(P\) and \(Q\) are unknown.

  • Load bus: Load bus connects load(s) with the grid. There is no generator connected with the load bus. The amount of active and reactive power needed at the loads are given.

  • Voltage controlled bus: Bus that connects a generator with the power grid. Load can be connected on the same bus. The bus voltage and generated active power are known, while the voltage phase shift angle and the reactive power are unknown.

To find the power flow in each transmission line, we first apply Kirchhoff’s current law (KCL) at each bus by assuming that the algebraic sum of the currents at any bus is equal to zero. We obtain a group of equations representing the relationship between the voltages and currents, which can be written in a matrix form as follows

$$\begin{aligned} \left[ \begin{array}{cccc} \mathbf {Y_{11}} &{} \mathbf {Y_{12}} &{} \dots &{} \mathbf {Y_{1N}} \\ \mathbf {Y_{21}} &{} \mathbf {Y_{22}} &{} \dots &{} \mathbf {Y_{2N}} \\ \dots &{} \dots &{} \dots &{} \dots \\ \dots &{} \dots &{} \dots &{} \dots \\ \mathbf {Y_{N1}} &{} \dots &{} \mathbf {Y_{N(N-1)}} &{} \mathbf {Y_{NN}} \end{array}\right] \left[ \begin{array}{c} \mathbf {V_{1}} \\ \mathbf {V_{2}} \\ . \\ .\\ \mathbf {V_{N}} \end{array}\right]&= \left[ \begin{array}{c} \mathbf {I_{1}} \\ \mathbf {I_{2}} \\ . \\ . \\ \mathbf {I_{N}} \end{array}\right] \end{aligned}$$
(8.47)

Where \(I_{k}\) is the current that enters the bus from the generator/load side. The first matrix is called the admittance matrix or the \(\mathbf {Y_{bus}}\) matrix. Each diagonal element \(\mathbf {Y_{kk}}\) equals the sum of the admittances of all branches connected to bus \(k\). Every off-diagonal element \(\mathbf {Y_{jk}}\) where \(j \ne k\) is the sum of admittances of all branches between bus \(j\) and bus \(k\) multiplied by \(-1\). Using Eq. (8.47), we obtain the following equation at bus \(k\)

$$\begin{aligned} \mathbf {V_{1}Y_{k1}} + \mathbf {V_{2}Y_{k2}} + \dots + \mathbf {V_{k}Y_{kk}} + \dots + \mathbf {V_{N}Y_{kN}} = \mathbf {I_{k}} = \frac{P_{k}-jQ_{k}}{\mathbf {V_{k}^{*}}}. \end{aligned}$$
(8.48)

To find all unknown active power, reactive power, voltages, voltage angles, a famous method called Gauss-Seidel iterative approach is used by assuming flat initial solutions for all voltages and voltage angles equal 1 p.u. and zero, respectively. For bus \(k\) at iteration \(i+1\), the following iterative equation is used to find the solution of the unknown variables

$$\begin{aligned} \mathbf {V_{k}^{i+1}}&= \frac{1}{\mathbf {Y_{kk}}}\Bigg [\mathbf {I_{k}^{i}} - \sum _{n=1}^{k-1} \mathbf {V_{n}^{i+1}Y_{kn}} - \sum _{n=k+1}^{N}\mathbf {V_{n}^{i}Y_{kn}}\Bigg ] \end{aligned}$$
(8.49)

1.6 DC power flow model

A power grid can be considered as a complex network with \(N\) nodes and \(L\) links. Nodes represent the generation and transmission substations, and links represents the transmission lines. To simplify the power flow analysis in the power grids, the DC Power Flow model has been originally introduced as DC Power Flow in the DC network analyzer [84] as suggested by [85]. In the original work, the network branch is represented by a resistance and the resistance value is proportional to the reactance that is connected in series with the resistance and each DC current is proportional to the power flow. The DC power flow model represents a linearization of the full AC model. In the AC model, let \(V_{i}\) and \(V_{j}\) represent the voltage at the buses \(i\) and \(j\), respectively. In addition, let \(Y_{ij}\) represent the admittance of the transmission line between buses \(i\) and \(j\). The relation between real power, complex voltages and line impedance is expressed through the following equation which describes the amount of real power flowing through a transmission line

$$\begin{aligned} P_{ij}&= |V_{i}| |V_{j}| |Y_{ij}| cos(\delta _{i} - \delta _{j} + \theta _{ij}) \end{aligned}$$
(8.50)

where \(\theta _{ij}\) is the phasor angle of the admittance \(Y_{ij}\). To obtain the DC power flow model, the following assumptions are applied to Eq. (8.50) as follows

  • Voltage angle differences are small, i.e. \(sin(\delta _{ij}) \approx \delta _{ij}\).

  • Flat Voltage profile: All voltages are considered 1 \(p.u\).

  • Line resistance is negligible i.e. \(R << X\).

Applying Taylor expansion on Eq. (8.50) around the operating voltage, and neglect the coupling between the power flow and the voltage, we obtain

$$\begin{aligned} P_{ij} = \frac{\delta _{ij}}{x_{ij}} \end{aligned}$$
(8.51)

where \(\delta _{ij}\) is the difference in phase shift angle between the voltages at the sending and receiving buses, and \(x_{ij}\) is the reactance of the transmission line. The DC power flow Eq. (8.51) can be written in matrix form where \(P\) is the \(N\times N\) matrix of power flows between each node \(i\) and \(j\) in the network, \(\delta \) is the \(N\times 1\) vector of phase angles and \(X\) is the \(N\times N\) weighted adjacency matrix, each element of which represents the reactance of a transmission line. It is a real number if a line is present between two nodes, and zero otherwise. In matrix form,

$$\begin{aligned}{}[P]=[b][\delta ] \end{aligned}$$
(8.52)

The matrix \([b]\) represents the imaginary part of the \(Y_{bus}\) matrix of the power grid, where \(b_{ij} = -\frac{1}{x_{ij}}\) and \(b_{ii} = \sum _{i\in N}-b_{ij}\) for \(i \ne j\). We usually assume that there is a reference node with voltage angle equals 0. The power handled by each node is the net sum of all the ingoing and outgoing power flows at that node as follows:

$$\begin{aligned} P_{i}=\sum _{j=1}^{N} P_{ij} = \sum _{j=1}^{N} (-b_{ij}\delta _{ij}) \end{aligned}$$
(8.53)

The total load at each node is given, while the phase angles are computed using the following equation:

$$\begin{aligned}{}[\delta ] = [b]^{-1}[P]. \end{aligned}$$
(8.54)

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Pahwa, S., Youssef, M., Scoglio, C. (2014). Electrical Networks: An Introduction. In: D'Agostino, G., Scala, A. (eds) Networks of Networks: The Last Frontier of Complexity. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-03518-5_8

Download citation

Publish with us

Policies and ethics