Optimal placement of distributed generation units in distribution systems via an enhanced multi-objective particle swarm optimization algorithm

Journal of Zhejiang University: Science C

Volumn 15, Issue 4, 2014, Pages 300-311

  Cheng, Shan ^a   Chen, Min You ^b   Wai, Rong Jong ^c   Wang, Fang Zong ^a  

^a CHINA THREE GORGES UNIVERSITY   (China)

^b CHONGQING UNIVERSITY   (China)

^c YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Distributed generation; Multi objective particle swarm optimization; Optimal placement; Power loss; Voltage stability index

Indexed keywords

ALGORITHMS; DISTRIBUTED POWER GENERATION; MULTIOBJECTIVE OPTIMIZATION; OPTIMAL SYSTEMS; SCREENING; VOLTAGE STABILIZING CIRCUITS;

ACCELERATION COEFFICIENTS; DISTRIBUTED GENERATION UNITS; MULTI OBJECTIVE PARTICLE SWARM OPTIMIZATION; MULTI-OBJECTIVE OPTIMIZATION MODELS; MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION ALGORITHMS; OPTIMAL PLACEMENTS; POWER-LOSSES; VOLTAGE STABILITY INDEX;

ITERATIVE METHODS;

EID: 84899576385     PISSN: 18691951     EISSN: 1869196X     Source Type: Journal    
DOI: 10.1631/jzus.C1300250     Document Type: Article

References (27)

1. Abu-Mouti, F.S., El-Hawary, M.E., 2011. Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm. IEEE Trans. Power Del., 26(4):2090-2101. [doi:10.1109/TPWRD.2011. 2158246]
2. Akorede, M.F., Hizam, H., Aris, I., et al., 2011. Effective method for optimal allocation of distributed generation units in meshed electric power systems. IET Gener. Transm. Distr., 5(2):276-287. [doi:10.1049/iet-gtd.2010. 0199]
3. Atwa, Y.M., El-Saadany, E.F., Salama, M.M.A., et al., 2010. Optimal renewable resources mix for distribution system energy loss minimization. IEEE Trans. Power Syst., 25(1):360-370. [doi:10.1109/TPWRS.2009.2030276]
4. Ayres, H.M., Freitas, W., de Almeida, et al., 2010. Method for determining the maximum allowable penetration level of distributed generation without steady-state voltage violations. IET Gener. Transm. Distr., 4(4):495-508. [doi:10. 1049/iet-gtd.2009.0317]
5. Baran, M.E., Wu, F.F., 1989. Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Trans. Power Del., 4(2):1401-1407. [doi:10.1109/61.25627]
6. Chen, M.Y., Cheng, S., 2012. Multi-objective optimization of the allocation of DG units considering technical, economical and environmental attributes. Przeglad Elektrotechnizny, 88(12A):233-237.
7. Chen, M.Y., Zhang, C.Y., Luo, C.Y., 2009. Adaptive evolutionary multi-objective particle swarm optimization algorithm. Contr. Dec., 24(12):1851-1855 (in Chinese).
8. Coello, C.A.C., Pulido, G.T., Lechuga, M.S., 2004. Handling multiple objectives with particle swarm optimization. IEEE Trans. Evol. Comput., 8(3):256-279. [doi:10.1109/TEVC.2004.826067]
9. Deb, K., 2001. Multi-objective Optimization Using Evolutionary Algorithms. Wiley, New York, USA, p.7.
10. Deb, K., Pratap, A., Agarwal, S., et al., 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput., 6(2):182-197. [doi:10.1109/4235.996017]
11. Dehghanian, P., Hosseini, S.H., Moeini-Aghtaie, M., et al., 2013. Optimal siting of DG Units in power systems from a probabilistic multi-objective optimization perspective. Int. J. Electr. Power Energy Syst., 51(10):14-26. [doi:10.1016/j.ijepes.2013.02.014]
12. Devi, S., Geethanjali, M., 2013. Application of modified bacterial foraging optimization algorithm for optimal placement and sizing of distributed generation. Expert Syst. Appl., 41(6):2772-2781. [doi:10.1016/j.eswa.2013.10. 010]
13. Gopiya Naik, S., Khatod, D.K., Sharma, M.P., 2013. Optimal allocation of combined DG and capacitor for real power loss minimization in distribution networks. Int. J. Electr. Power Energy Syst., 53(12):967-973. [doi:10.1016/j.ijepes.2013.06.008]
14. Hu, G.H., He, W., Cheng, S., et al., 2013. Optimal allocation of distributed generation units considering environmental effects. J. Inf. Comput. Sci., 10(11):3353-3362. [doi:10.12733/jics20101937]
15. Jia, S.J., Du, B., Yue, H., 2012. Local search and hybrid diversity strategy based multi-objective particle swarm optimization algorithm. Contr. Dec., 27(6):813-818 (in Chinese).
16. Kumar, K.V., Selvan, M.P., 2009. Planning and operation of distributed generations in distribution systems for improved voltage profile. Power Systems Conf. and Exposition, p.1-7. [doi:10.1109/PSCE.2009.4840152]
17. Lee, S.H., Park, J.W., 2009. Selection of optimal location and size of multiple distributed generations by using Kalman filter algorithm. IEEE Trans. Power Syst., 24(3):1393-1400. [doi:10.1109/TPWRS.2009.2016540]
18. Li, X.D., 2003. A non-dominated sorting particle swarm optimizer for multiobjective optimization. LNCS, 2723: 27-48. [doi:10.1007/3-540-45105-6-4]
19. Li, Y., Zhou, B.X., Lin, N., et al., 2013. Application of improved clonal genetic algorithm in distributed generation planning. Proc. CSU-EPSA, 25(4):128-132 (in Chinese).
20. Liu, J., Bi, P.X., Dong, H.P., 2002. Analysis and Optimization of Complex Distribution Networks. China Electric Power Press, Beijing, China, p.140 (in Chinese).
21. Mistry, K.D., Roy, R., 2014. Enhancement of loading capacity of distribution system through distributed generator placement considering techno-economic benefits with load growth. Int. J. Electr. Power Energy Syst., 54(1): 505-515. [doi:10.1016/j.ijepes.2013.07.032]
22. Moradi, M.H., Abedini, M., 2012. A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. Int. J. Electr. Power Energy Syst., 34(1):66-74. [doi:10.1016/j.ijepes. 2011.08.023]
23. Ratnaweera, A., Halgamuge, S.K., Watson, H.C., 2004. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans. Evol. Comput., 8(3):240-255. [doi:10.1109/TEVC.2004. 826071]
24. Sheng, W.X., Liu, Y.M., Meng, X.L., et al., 2012. An improved strength Pareto evolutionary algorithm 2 with application to the optimization of distributed generations. Comput. Math. Appl., 64(5):944-955. [doi:10.1016/j.camwa.2012.01.063]
25. Sierra, M.R., Coello, C.A.C., 2006. Multi-objective particle swarm optimizers: a survey of the state-of-the-art. Int. J. Comput. Intell. Res., 2(3):287-308.
26. Tanaka, K., Oshiro, M., Toma, S., et al., 2010. Decentralised control of voltage in distribution systems by distributed generators. IET Gener. Transm. Distr., 4(11):1251-1260. [doi:10.1049/iet-gtd.2010.0003]
27. Yu, Q., Liu, G., Liu, Z.F., et al., 2013. Multi-objective optimal planning of distributed generation based on quantum differential evolution algorithm. Power Syst. Protect. Contr., 41(14):66-72 (in Chinese).