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A Comprehensive Review on Distribution System

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Modelling and Simulation in Science, Technology and Engineering Mathematics (MS-17 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 749))

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Abstract

Distribution System (DS) is considered to be the final stage of an electric power network. The main performance parameters of a DS are active power loss and voltage profile. Throughout the years, DS has been a preferred area of research for several researchers and efforts are made to improve the above parameters. This paper presents a review on research works that has been pursued in recent years by scientists on improvement of DS performance by network reconfiguration, methods of load flow (LF) analysis on DS, impact of renewable energy on DS and effect of demand response (DR) on DS.

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References

  1. A.Y. Abdelaziz, R.A. Osama, S.M. El-Khodary, Reconfiguration of distribution systems for loss reduction using the hyper-cube ant colony optimisation algorithm. IET Gener. Transm. Distrib. 6(2), 176–187 (2012)

    Article  Google Scholar 

  2. S. Hamidreza Alemohammad, E. Mashhour, M. Saniei, A market-based method for reconfiguration of distribution network. Electr. Power Syst. Res. 125, 15–22 (2015)

    Article  Google Scholar 

  3. F.R. Alonso, D.Q. Oliveira, A.C. Zambroni de Souza, Artificial immune systems optimization approach for multiobjective distribution system reconfiguration. IEEE Trans. Power Syst. 30(2), 840–847 (2014)

    Article  Google Scholar 

  4. B. Amanulla, S. Chakrabarti, S.N. Singh, Reconfiguration of power distribution systems considering reliability and power loss. IEEE Trans. Power Delivery 27(2), 918–926 (2012)

    Article  Google Scholar 

  5. B. Arandian, R.A. Hooshmand, E. Gholipour, Decreasing activity cost of a distribution system company by reconfiguration and power generation control of DGs based on shuffled frog leaping algorithm. Electr. Power Energy Syst. 61, 48–55 (2014)

    Article  Google Scholar 

  6. H. Arasteh, M. Sadegh Sepasian, V. Vahidinasab, An aggregated model for coordinated planning and reconfiguration of electric distribution networks. Energy 94, 786–798 (2016)

    Article  Google Scholar 

  7. A. Asrari, S. Lotfifard, M. Ansari, Reconfiguration of smart distribution systems with time varying loads using parallel computing. IEEE Trans. Smart Grid 7, 1–11 (2016)

    Article  Google Scholar 

  8. M. Bahrami, M. Mahdi Mahmoodi, M. Sedighizadeh, Network reconfiguration to improve reliability indices and efficiency in distribution systems with an efficient hybrid big bang-big crunch algorithm systems. IJCMES 2(1), 11–17 (2016)

    Google Scholar 

  9. S. Banerjee, C.K. Chanda, D. Das, Reconfiguration of distribution networks based on fuzzy multiobjective approach by considering loads of different types. J. Inst. Eng. (India): Series B 94(1), 29–42 (2013)

    Google Scholar 

  10. A. Bayat, A. Bagheri, R. Noroozian, Optimal siting and sizing of distributed generation accompanied by reconfiguration of distribution networks for maximum loss reduction by using a new UVDA-based heuristic method. Electr. Power Energy Syst. 77, 360–371 (2016)

    Article  Google Scholar 

  11. A. Bayat, Uniform voltage distribution based constructive algorithm for optimal reconfiguration of electric distribution networks. Electr. Power Syst. Res. 104, 146–155 (2013)

    Article  Google Scholar 

  12. Florin Capitanescu, Luis F. Ochoa, Harag Margossian, Nikos D. Hatziargyriou, Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems. IEEE Trans. Power Syst. 30(1), 346–356 (2014)

    Article  Google Scholar 

  13. Dong-Li Duan, Xiao-Dong Ling, Wu Xiao-Yue, Bin Zhong, Reconfiguration of distribution network for loss reduction and reliability improvement based on an enhanced genetic algorithm. Int. J. Electr. Power Energy Syst. 64, 88–95 (2015)

    Article  Google Scholar 

  14. L.I. Silva, E.A. Belati, I.C. Silva Junior, Heuristic algorithm for electrical distribution systems reconfiguration based on firefly movement equation. IEEE Latin Am. Trans. 14(2), 752–758 (2016)

    Article  Google Scholar 

  15. L.W. de Oliveira, S. da Felipe Seta, J. de Edimar Oliveira, Optimal reconfiguration of distribution systems with representation of uncertainties through interval analysis. Electr. Power Energy Syst. 83, 382–391 (2016)

    Article  Google Scholar 

  16. S.S.F. Souza, R. Romero, J. Pereir, J.T. Saraiva, Artificial immune algorithm applied to distribution system reconfiguration with variable demand. Electr. Power Energy Syst. 82, 561–568 (2016)

    Article  Google Scholar 

  17. E. Pons, M. Repetto, A topological reconfiguration procedure for maximising local consumption of renewable energy in (Italian) active distribution networks. Int. J. Sustain. Energy, Taylor & Francis 36, 1–14 (2016). ISSN: 1478-6451

    Google Scholar 

  18. T. Niknam, A. Kavousi Fard, A. Seifi, Distribution feeder reconfiguration considering fuel cell/wind/ photovoltaic power plants. Renew. Energy 37, 213–225 (2011)

    Article  Google Scholar 

  19. S. Naveen, K. Sathish Kumar, K. Rajalakshmi, Distribution system reconfiguration for loss minimization using modified bacterial foraging optimization algorithm. Electr. Power Energy Syst. 69, 90–97 (2014)

    Article  Google Scholar 

  20. T. Thanh Nguyen, A. Viet Truong, T. Anh Phung, A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network. Electr. Power Energy Syst. 78, 801–815 (2015)

    Article  Google Scholar 

  21. T. Thanh Nguyen, H. Ngoc Pham, A. Viet Truong, T. Anh Phung, T. Trung Nguyen, A backtracking search algorithm for distribution network reconfiguration problem, chapter AETA 2015. Recent Adv. Electr. Eng. Relat. Sci. 371, 223–234 (2016)

    Google Scholar 

  22. Hongwei Li, Wenjin Mao, Anan Zhang, Chao Li, An improved distribution network reconfiguration method based on minimum spanning tree algorithm and heuristic rules. Electr. Power Energy Syst. 82, 466–473 (2016)

    Article  Google Scholar 

  23. J. Camilo López, M. Lavorato, F. John Franco, J. Marcos Rider, Robust optimisation applied to the reconfiguration of distribution systems with reliability constraints. IET Gener. Transm. Distrib. 10(4), 917–927 (2015)

    Article  Google Scholar 

  24. D. Rupolo, J.R.S. Mantovani, Reconfiguration of radial electric power distribution system via a scatter search algorithm. IEEE Latin Am. Trans. 13(4), 1022–1028 (2015)

    Article  Google Scholar 

  25. A.C. Melhorn, A. Dimitrovski, Three-phase probabilistic load flow in radial and meshed distribution networks. IET Gener Transm. Distrib. 9(16), 2743–2750 (2015)

    Article  Google Scholar 

  26. N. Singh, R. Bala, F. Sahib, A novel method of load flow for radial distribution network to minimise losses. IJEDR 4(1), 7–10 (2016). ISSN: 2321-9939

    Google Scholar 

  27. C. Wang, A. Bernstein, J.-Y. Le Boudec, M. Paolone, Explicit Conditions on Existence and Uniqueness of Load-Flow Solutions in Distribution Networks, arXiv:1602.08372v1 [math.OC], (Submitted on 26 Feb 2016)

  28. K. Murari, S. Ghosh, N. Singh, Explicit conditions on existence and uniqueness of load-flow solutions in distribution networks. Int. Electr. Eng. J. (IEEJ) 6(1), 1711–1715 (2015). ISSN 2078 -2365

    Google Scholar 

  29. G. Carpinelli, P. Caramia, P. Varilone, Multi-linear Monte Carlo simulation method for probabilistic load flow of distribution systems with wind and photovoltaic generation systems. Renew. Energy 76, 283–295 (2014)

    Article  Google Scholar 

  30. D. Šošić, M. Žarković, G. Dobric, Fuzzy-based Monte Carlo simulation for harmonic load flow in distribution networks. IET Gener. Transm. Distrib. 9(3), 267–275 (2014)

    Article  Google Scholar 

  31. C. Delgado, J.A. Domínguez-Navarro, Point estimate method for probabilistic load flow of an unbalanced power distribution system with correlated wind and solar sources. Electr. Power Energy Syst. 61, 267–278 (2014)

    Article  Google Scholar 

  32. H. Li, A. Zhang, X. Shen, X. Jin, A load flow method for weakly meshed distribution networks using powers as flow variables. Electr. Power Energy Syst. 58, 291–299 (2014)

    Article  Google Scholar 

  33. F.J. Ruiz-Rodriguez, F. Jurado, M. Gomez-Gonzalez, A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators. Electr. Eng. 96(3), 275–286 (2014). Springer

    Article  Google Scholar 

  34. M.N. Kabir, Y. Mishra, R.C. Bansal, Probabilistic load flow for distribution systems with uncertain PV generation. Appl. Energy 163, 343–351 (2015)

    Article  Google Scholar 

  35. M. Abdel-Akher, Voltage stability analysis of unbalanced distribution systems using backward/forward sweep load-flow analysis method with secant predictor. IET Gener. Transm. Distrib. 7(3), 309–317 (2012)

    Article  Google Scholar 

  36. M. Gomez-Gonzalez, F.J. Ruiz-Rodriguez, F. Jurado, A binary SFLA for probabilistic three-phase load flow in unbalanced distribution systems with technical constraints. Electr. Power Energy Syst. 48, 48–57 (2012)

    Article  Google Scholar 

  37. N.A. Khan, S. Ghosh, S.P. Ghoshal, Testing of a novel load flow algorithm for different radial distribution systems. Electr. Eng. 95(3), 229–240 (2012)

    Article  Google Scholar 

  38. I. Kocar, J. Mahseredjian, U. Karaagac, G. Soykan, O. Saad, Multiphase load-flow solution for large-scale distribution systems using MANA. IEEE Trans. Power Delivery 29(2), 908–915 (2014)

    Article  Google Scholar 

  39. J.M. Sexauer, S. Mohagheghi, Voltage quality assessment in a distribution system with distributed generation—a probabilistic load flow approach. IEEE Trans. Power Delivery 28(3), 1652–1662 (2013)

    Article  Google Scholar 

  40. M.A. Abdullah, A.P. Agalgaonkar, K.M. Muttaqi, Assessment of energy supply and continuity of service in distribution network with renewable distributed generation. Appl. Energy 113, 1015–1026 (2013)

    Article  Google Scholar 

  41. F.M. Camilo, R. Castro, M.E. Almeida, V.F. Pires, Self-consumption and storage as a way to facilitate the integration of renewable energy in low voltage distribution networks. IET Gener. Transm. Distrib. 10(7), 1741–1748 (2016)

    Article  Google Scholar 

  42. A.Y. Abdelaziz, Y.G. Hegazy, W. El-Khattam, M.M. Othman, Optimal allocation of stochastically dependent renewable energy based distributed generators in unbalanced distribution networks. Electr. Power Syst. Res. 119, 34–44 (2014)

    Article  Google Scholar 

  43. P. Kayal, C.K. Chanda, Strategic approach for reinforcement of intermittent renewable energy sources and capacitor bank for sustainable electric power distribution system. Electr. Power Energy Syst. 83, 335–351 (2016)

    Article  Google Scholar 

  44. Tianguang Lv, Qian Ai, Interactive energy management of networked microgrids-based active distribution system considering large-scale integration of renewable energy resources. Appl. Energy 163, 408–422 (2015)

    Article  Google Scholar 

  45. B. Zeng, J. Wen, J. Shi, J. Zhang, Y. Zhang, A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment. Energy 96, 614–624 (2016)

    Article  Google Scholar 

  46. H. Jiang, Y. Zhang, J.J. Zhang, D. Wenzhong Gao, E. Muljadi, Synchrophasor-based auxiliary controller to enhance the voltage stability of a distribution system with high renewable energy penetration. IEEE Trans. Smart Grid 6(4), 2107–2115 (2015)

    Article  Google Scholar 

  47. Y. Yang, W. Zhang, J. Jiang, M. Huang, L. Niu, Optimal scheduling of a battery energy storage system with electric vehicles’ auxiliary for a distribution network with renewable energy integration. Energies 8, 10718–10735 (2015). ISSN: 1996-1073

    Article  Google Scholar 

  48. A. Samimi, A. Kazemi, Scenario-based stochastic programming for Volt/Var control in distribution systems with renewable energy sources. IETE Tech. Rev. 33, 1–13 (2016). ISSN 0256–4602

    Article  Google Scholar 

  49. A.K. Singh, S.K. Parida, A novel hybrid approach to allocate renewable energy sources in distribution system. Sustainable Energy Technol. Assessments 10, 1–11 (2015)

    Article  Google Scholar 

  50. M. Taghi, B. BaghmisheZad, H. Nasir Aghdam, Raising power quality and improving reliability by distribution network reconfiguration in the presence of renewable energy sources. J. Artif. Intell. Electr. Eng. 4(14), 29–36 (2015)

    Google Scholar 

  51. S.V. Iyer, B. Wu, Y. Li, B. Singh, A mathematical model to predict voltage fluctuations in a distribution system with renewable energy sources. De Gruyter, Int. J. Emerg. Electr. Power Syst. (IJEEPS) 6(6), 549–557 (2015)

    Google Scholar 

  52. C. Chen, F. Wang, B. Zhou, K. Wing Chan, Y. Cao, Y. Tan, An interval optimization based day-ahead scheduling scheme for renewable energy management in smart distribution systems. Energy Convers. Manag. 106, 584–596 (2015)

    Article  Google Scholar 

  53. H. Fathabadi, Utilization of electric vehicles and renewable energy sources used as distributed generators for improving characteristics of electric power distribution systems. Energy, 1–11, June 2015 (In Press)

    Google Scholar 

  54. M. Nijhuis, M. Gibescu, J.F.G. Cobben, Assessment of the impacts of the renewable energy and ICT driven energy transition on distribution networks. Renew. Sustain. Energy Rev. 52, 1003–1014 (2015)

    Article  Google Scholar 

  55. T.A. Tsiftsis, P.C. Sofotasios, N. Papanikolaou, M.I. Loupis, Deployment of wireless sensor network in dispersed renewable energy sources for increasing efficiency of power distribution networks. J. Mod. Power Syst. Clean Energy (MPCE) 3(4), 610–618 (2015)

    Article  Google Scholar 

  56. H.S.V.S. Kumar Nunna, S. Doolla, Demand response in smart distribution system with multiple microgrids. IEEE Trans. Smart Grid 3(4), 1641–1649 (2012)

    Article  Google Scholar 

  57. Omid Homaee, Alireza Zakariazadeh, Shahram Jadid, Real time voltage control using emergency demand response in distribution system by integrating advanced metering infrastructure. J. Renew. Sustain. Energy 6(033145), 1–16 (2014)

    Google Scholar 

  58. B. Zeng, J. Zhang, X. Yang, J. Wang, J. Dong, Y. Zhang, Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response. IEEE Trans. Power Syst. 29(3), 1153–1165 (2013)

    Article  Google Scholar 

  59. A. Zakariazadeh, O. Homaee, S. Jadid, P. Siano, A new approach for real time voltage control using demand response in an automated distribution system. Appl. Energy 117, 157–166 (2013)

    Article  Google Scholar 

  60. N. Venkatesan, J. Solanki, S. Khushalani Solanki, Residential demand response model and impact on voltage profile and losses of an electric distribution network. Appl. Energy 96, 84–91 (2011)

    Article  Google Scholar 

  61. A. Safdarian, M.Z. Degefa, M. Lehtonen, M. Fotuhi-Firuzabad, Distribution network reliability improvements in presence of demand response. IET Gener. Transm. Distrib. 8(12), 2027–2035 (2014)

    Article  Google Scholar 

  62. T. Williams, D. Wang, C. Crawford, N. Djilali, Integrating renewable energy using a smart distribution system: Potential of self-regulating demand response. Renew. Energy 52, 46–56 (2012)

    Article  Google Scholar 

  63. D. Khyati Mistry, R. Roy, Impact of demand response program in wind integrated distribution network. Electr. Power Syst. Res. 108, 269–281 (2013)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical Engineering, Dr. Sudhir Chandra Sur Degree Engineering College, Kolkata, 700074, India

    Anirban Chowdhury & Ranjit Roy

  2. Department of Power Engineering, Jadavpur University, SaltLake Campus, Sector III, Kolkata, 700098, India

    Kamal Krishna Mandal

  3. Department of Electrical Engineering, Jadavpur University, Kolkata, 700032, India

    S. Mandal

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  1. Anirban Chowdhury
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  2. Ranjit Roy
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  3. Kamal Krishna Mandal
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  4. S. Mandal
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Correspondence to Ranjit Roy .

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Editors and Affiliations

  1. Department of Electrical Engineering, Ghani Khan Choudhury Institute of Engineering and Technology, Malda, West Bengal, India

    Surajit Chattopadhyay

  2. Department of Electrical Engineering, MCKV Institute of Engineering, Howrah, West Bengal, India

    Tamal Roy

  3. University of Calcutta, Kolkata, West Bengal, India

    Samarjit Sengupta

  4. University of Lyon, Lyon, France

    Christian Berger-Vachon

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Chowdhury, A., Roy, R., Mandal, K.K., Mandal, S. (2019). A Comprehensive Review on Distribution System. In: Chattopadhyay, S., Roy, T., Sengupta, S., Berger-Vachon, C. (eds) Modelling and Simulation in Science, Technology and Engineering Mathematics. MS-17 2017. Advances in Intelligent Systems and Computing, vol 749. Springer, Cham. https://doi.org/10.1007/978-3-319-74808-5_12

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  • DOI: https://doi.org/10.1007/978-3-319-74808-5_12

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