Abstract
The transmission network plays an important role in deregulated electricity markets because it is the key mechanism for generators to compete in supplying large users and distribution companies. Congestion in transmission network could be one of the primary problems of restructured electric industry. This paper proposes a new method to enhance the line loadability by congestion management using power vector graph method. In some methods like sensitivity analysis, only active power is taken to do congestion management so those methods are not accurate. But here, both active power and reactive power are considered for doing congestion management. The active and reactive power flow of individual sources in the network and contribution of each source to each line is evaluated by the use of superposition principle. Power vector graph is designed with the help of the power flows in the context of a competitive electricity market. Congestion can be reduced to enhance line loadability by adjusting relevant power components in four quadrants. Proposed method is illustrated on IEEE 30 bus system using MATLAB.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Battacharya, K., Bollen, M.H.J., Daalder, J.E.: Operations of Restructured Power Systems. Kluwer Academic Publishers, Dordrecht (2001)
Verma, S., Mukherjee, V.: Optimal real power rescheduling of generators for congestion management using a novel ant lion optimizer. IET Gener. Transm. Distrib. 10(10), 2548–2561 (2016)
Balaraman, S., Kamaraj, N.: Real time contingency management in deregulated electricity market using artificial neural network. Iran. J. Electr. Comput. Eng. 10(1) (2011)
Ahamed Jeelani Basha, A., Anitha, M.: Power flow tracing based congestion management using firefly algorithm in deregulated electricity market. Int. J. Eng. Res. Dev. 12(5), 38–48 (2016)
Mandala, M., Gupta, C.P.: Comparative studies of congestion management in deregulated electricity market. In: 16th National Power Systems Conference, Hyderabad (2010)
Shahidehpour, M., Yamin, H., Li, Z.: Market Operations in Electric Power Systems. Wiley, New York (2002)
Bialek, J.: Tracing the flow of electricity. IEE Proc. Gener. Transm. Distrib. 143(4), 313–320 (1996)
Kirschen, D., Allan, R., Strbac, G.: Contribution of individual generators to loads and flow. IEEE Trans. Power Syst. 12(1), 52–60 (1997)
Khan, M.T., Siddiqui, A.S.: Congestion management in deregulated power system using FACTS device. Int. J. Syst. Assur. Eng. Manag. 8(1), 1–7 (2017) (Springer India)
Adhip, D.T.: Congestion management based on virtual real power flows. In: 2nd Biennial International Conference on Power and Energy Systems towards Sustainable Energy (PESTSE). IEEE Press, Bangalore (2016)
Wang, H., Bao, H.: A new method of congestion management based on power flow tracing. In: 2016 China International Conference on Electricity Distribution (CICED), (CICED 2016) Xi’an. IEEE Press, China (2016)
Rajalakshmi, L., Suganyadevi, M.V., Parameswari, S.: Congestion management in deregulated power system by locating series FACTS devices. Int. J. Comput. Appl. 13(8), 19–22 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ragaleela, D., Sivanagaraju, S. (2019). A New Approach for Line Loadability Enhancement in Restructured Power System. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 104. Springer, Singapore. https://doi.org/10.1007/978-981-13-1921-1_49
Download citation
DOI: https://doi.org/10.1007/978-981-13-1921-1_49
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1920-4
Online ISBN: 978-981-13-1921-1
eBook Packages: EngineeringEngineering (R0)