OPTIMAL PLACEMENT AND SELECTION OF DISTRIBUTION GENERATORS AND CAPACITOR BANKS IN DISTRIBUTION NETWORK WITH MOPSO
DOI:
https://doi.org/10.24867/04BE33KeresiKeywords:
Particle Swarm Optimization, Distribution Generators, Capacitor BanksAbstract
This master thesis describes the problem of optimal siting and sizing of Distribution Generators and Capacitor Banks on radial distribution network. This paper also discusses the usage of Multi-Objective Particle Swarm Optimization (MOPSO) algorithm to solve the proposed problem. Additionally, one simulation shows the problem solution on IEEE-33 standard system.
References
.A.A.Kazmi, H.K.Shahzad, D.R.Shin: Multi-Objective Planning Techniques in Distribution Networks: A Compo-site Review; Energies, Vol.10, Issue 2, Feb. 2017, pp. 208-251
[2] V.Strezorski: Analiza elektroenergetskih sistema, Fakultet Tehničkih Nauka u Novom Sadu, Novi Sad, Srbija, 2006.
[3] Y.M.Atwa, E.F.El-Saadany, M.M.A.Salama, R.Seethapathy: Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization, IEEE Transactions on Power Systems, Vol 25, No. 1, Feb 2010, pp. 360-371.
[4] R.Sirjani, A.Mohamed, H.Sharef:Heuristic Optimization Techniques to Determine Optimal Capacitor Placement and Sizing in Radial Distribution Networks:A Comprehensive Review, Przeglad Elektrotechniczny, Vol.88, Issue 7a, Jan. 2012, pp. 1-7.
[5] M.Kumar, P.Nallagownden, I.Elamvazuthi: Optimal Place-ment and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems, Energies, Vol. 25, Issue 1, Feb. 2010, pp. 811-835.
[6] C.A.Coello, G.T.Pulido, M.S.Lechuga: Handling Multiple Objectives With Particle Swarm Optimization, IEEE Trans.on Evolutionary Computation, Vol. 8. Issue 3, June 2004, pp. 256-279.
[7] D.Shirmohammadi, H.W.Hong, A.Semlyen, G.X.Luo: A Compensation-Based Power Flow Method for Weekly Meshed Distribution and Transmission Networks, IEEE Trans.on PS, Vol. 3, Issue 2, May 1988, pp. 753-762.
[8] K.Deb, A.Pratap, S.Agarwal, T.Meyarivan: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II, IEEE Trans.on Evolutionary Computation, Vol. 6, No. 2, April 2002, pp. 182-197.
[2] V.Strezorski: Analiza elektroenergetskih sistema, Fakultet Tehničkih Nauka u Novom Sadu, Novi Sad, Srbija, 2006.
[3] Y.M.Atwa, E.F.El-Saadany, M.M.A.Salama, R.Seethapathy: Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization, IEEE Transactions on Power Systems, Vol 25, No. 1, Feb 2010, pp. 360-371.
[4] R.Sirjani, A.Mohamed, H.Sharef:Heuristic Optimization Techniques to Determine Optimal Capacitor Placement and Sizing in Radial Distribution Networks:A Comprehensive Review, Przeglad Elektrotechniczny, Vol.88, Issue 7a, Jan. 2012, pp. 1-7.
[5] M.Kumar, P.Nallagownden, I.Elamvazuthi: Optimal Place-ment and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems, Energies, Vol. 25, Issue 1, Feb. 2010, pp. 811-835.
[6] C.A.Coello, G.T.Pulido, M.S.Lechuga: Handling Multiple Objectives With Particle Swarm Optimization, IEEE Trans.on Evolutionary Computation, Vol. 8. Issue 3, June 2004, pp. 256-279.
[7] D.Shirmohammadi, H.W.Hong, A.Semlyen, G.X.Luo: A Compensation-Based Power Flow Method for Weekly Meshed Distribution and Transmission Networks, IEEE Trans.on PS, Vol. 3, Issue 2, May 1988, pp. 753-762.
[8] K.Deb, A.Pratap, S.Agarwal, T.Meyarivan: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II, IEEE Trans.on Evolutionary Computation, Vol. 6, No. 2, April 2002, pp. 182-197.
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Published
2019-08-26
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Section
Electrotechnical and Computer Engineering
