Performance Enhancement of Radial Distributed System with Distributed Generators by Reconfiguration Using Binary Firefly Algorithm
The extent of real power loss and voltage deviation associated with overloaded feeders in radial distribution system can be reduced by reconfiguration. Reconfiguration is normally achieved by changing the open/closed state of tie/sectionalizing switches. Finding optimal switch combination is a compl...
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| Veröffentlicht in: | Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Jg. 96; H. 1; S. 91 - 99 |
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01.03.2015
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| Abstract | The extent of real power loss and voltage deviation associated with overloaded feeders in radial distribution system can be reduced by reconfiguration. Reconfiguration is normally achieved by changing the open/closed state of tie/sectionalizing switches. Finding optimal switch combination is a complicated problem as there are many switching combinations possible in a distribution system. Hence optimization techniques are finding greater importance in reducing the complexity of reconfiguration problem. This paper presents the application of firefly algorithm (FA) for optimal reconfiguration of radial distribution system with distributed generators (DG). The algorithm is tested on IEEE 33 bus system installed with DGs and the results are compared with binary genetic algorithm. It is found that binary FA is more effective than binary genetic algorithm in achieving real power loss reduction and improving voltage profile and hence enhancing the performance of radial distribution system. Results are found to be optimum when DGs are added to the test system, which proved the impact of DGs on distribution system. |
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| AbstractList | The extent of real power loss and voltage deviation associated with overloaded feeders in radial distribution system can be reduced by reconfiguration. Reconfiguration is normally achieved by changing the open/closed state of tie/sectionalizing switches. Finding optimal switch combination is a complicated problem as there are many switching combinations possible in a distribution system. Hence optimization techniques are finding greater importance in reducing the complexity of reconfiguration problem. This paper presents the application of firefly algorithm (FA) for optimal reconfiguration of radial distribution system with distributed generators (DG). The algorithm is tested on IEEE 33 bus system installed with DGs and the results are compared with binary genetic algorithm. It is found that binary FA is more effective than binary genetic algorithm in achieving real power loss reduction and improving voltage profile and hence enhancing the performance of radial distribution system. Results are found to be optimum when DGs are added to the test system, which proved the impact of DGs on distribution system. |
| Author | Rajalakshmi, N. Thamizhavel, K. Padma Subramanian, D. |
| Author_xml | – sequence: 1 givenname: N. surname: Rajalakshmi fullname: Rajalakshmi, N. email: rajit12.2.1987@gmail.com organization: Faculty of Electrical and Electronics Engineering, AMET University – sequence: 2 givenname: D. surname: Padma Subramanian fullname: Padma Subramanian, D. organization: Faculty of Electrical and Electronics Engineering, AMET University – sequence: 3 givenname: K. surname: Thamizhavel fullname: Thamizhavel, K. organization: Faculty of Electrical and Electronics Engineering, Mohamed Sathak A.J. College of Engineering |
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| Cites_doi | 10.1109/SUPERGEN.2009.5348230 10.1109/61.25627 10.1109/PES.2007.386149 10.1109/61.193906 10.1109/TPWRS.2010.2080292 10.1016/j.neucom.2011.05.030 10.1109/59.331452 10.1109/TPWRS.2007.894848 10.1109/TPWRD.2010.2046339 10.1016/S0378-7796(02)00041-X 10.1016/j.amc.2007.12.053 10.1016/j.compstruc.2011.08.002 10.1109/59.336111 10.1016/S0142-0615(03)00046-2 10.1109/ICCCT.2011.6075143 10.1016/j.swevo.2011.06.003 10.1016/S0142-0615(01)00068-0 10.1016/j.asoc.2011.09.017 10.1016/j.epsr.2009.05.004 |
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| Keywords | Genetic algorithm (GA) Firefly algorithm (FA) Distributed generators (DG) Radial distribution system (RDS) Reconfiguration |
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Res.2009791521153010.1016/j.epsr.2009.05.004 – reference: YangX-SHosseiniSSSGandomiAHFirefly algorithm for solving non-convex economic dispatch problems with valve loading effectAppl. Soft Comput.2012121180118610.1016/j.asoc.2011.09.017 – reference: SenthilnathJOmkarSNManiVClustering using firefly algorithm: performance studySwarm Evol. Comput.2011116417110.1016/j.swevo.2011.06.003 – reference: KangQLanTYanYWangLWuQGroup search optimizer based optimal location and capacity of distributed generationsNeurocomputing201278556310.1016/j.neucom.2011.05.030 – reference: OlamaeiJNiknamTGharehpetianGApplication of particle swarm optimization for distribution feeder reconfiguration considering distributed generatorsAppl. Math. Comput.200820157558610.1016/j.amc.2007.12.0531143.783702431954 – reference: MirindaVRanitoJVPronecaLMGenetic algorithm in optimal multistage distribution network planningIEEE Trans. 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Sirisumrannukul, Feeder reconfiguration with dispatchable distributed generators in distribution system by tabu search. In Universities Power Engineering Conference (UPEC), 2009 – reference: CivanlarSGraingerJJLeeSSHDistribution feeder reconfiguration for loss reductionIEEE T Power Deliv.198831217122310.1109/61.193906 – reference: A. Merlin, H. Back, Search for minimum-loss operating spanning tree configuration in an urban power distribution system. In Proceedings of5th Power System Computation Conference, Cambridge, 1.2/6, 1975 – reference: S. Palit, S.N. Sinha, M.A. Molla, A. Khanra, M. Kule, A cryptanalytic attack on the knapsack cryptosystem using binary firefly algorithm. In ICCCT, pp. 428–432, 2011 – reference: ZhuIZOptimal reconfiguration of electrical distribution network using the refined genetic algorithmElectr. Power Syst. Res.200262374210.1016/S0378-7796(02)00041-X – reference: GandomiAHYangX-SAlaviAHMixed variable structural optimization using Firefly AlgorithmComput. 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Power doi: 10.1016/S0142-0615(01)00068-0 – volume-title: Nature-inspired meta-heuristic algorithms year: 2008 ident: 126_CR22 – volume: 12 start-page: 1180 year: 2012 ident: 126_CR11 publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2011.09.017 – volume: 33 start-page: 9 year: 2009 ident: 126_CR20 publication-title: World Acad. Sci. Eng. Technol. – volume: 79 start-page: 1521 year: 2009 ident: 126_CR5 publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2009.05.004 |
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| Title | Performance Enhancement of Radial Distributed System with Distributed Generators by Reconfiguration Using Binary Firefly Algorithm |
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