He Yuqing, Peng Jianchun, Wen Ming, et al. Scenario model and algorithm for the reconfiguration of distribution network with wind power generators[J]. Proceedings of the CSEE, 2010, 30(28): 15-18.
[5]
Koichi Nara, Atsushi Shiose, Minoru Kitagawa, Toshihisa Ishihara. Implementation of genetic algorithm for distribution systems loss minimum reconfiguration[J]. Transactions on Power Systems, 1992, 7(3): 1044-1050.
[6]
Juan Carlos Cebrian, Nelson Kagan. Reconfiguration of distribution networks to minimize loss and disruption costs using genetic algorithms[J]. Electric Power Systems Research, 2010, 80(1): 53-62.
[7]
Anil Swarnkar, Nikhil Gupta, K R Niazi, A novel codification for meta-heuristic techniques used in distribution network reconfiguration[J]. Electric Power Systems Research, 2011, 81(7): 1619-1626.
[8]
R C Eberhart, Y Shi. Comparing inertia weights and constriction factors in particle swarm optimization[C]. in: Proceeding of the IEEE Congress on Evolutionary Computation, San Diego, USA, 2000: 84-88.
Zhong Dong, Zhang Liuchun, Fu Zhengcai. Network reconfiguration in distribution systems using a modified TS algorithm[J]. Transactions of China Electrotechnical Society, 2005, 20(11): 60-64.
[11]
Enrico Carpaneto, Gianfranco Chicco. Distribution system minimum loss reconfiguration in the Hyper- Cube ant colony optimization framework[J]. Electric
Liu Zifa, Ge Shaoyuan, Yu Yixin, A hybrid intelligent algorithm for loss minimum reconfiguration in distribution networks[J]. Proceedings of the CSEE, 2005, 25(15): 73-78
[15]
Ahmed R. Abul’Wafa. A new heuristic approach for optimal reconfiguration in distribution systems[J]. Electric Power Systems Research, 2011, 81: 282-289.
[16]
A Y Abdelaziz, F M Mohammed, S F Mekhamer, et al. Distribution systems reconfiguration using a modified particle swarm optimization algorithm[J]. Electric Power Systems Research, 2009, 79: 1521-1530.
Sun Yuanzhang, Wu Jun, Li Guojie, et al. Dynamic economic dispatch considering wind power pene- tration based on wind speed forecasting and stochastic programmingJ. Proceedings of the CSEE, 2009, 29(4): 41-47.
[20]
James W Taylor, Patrick E McSharry, Roberto Buizza, et al. Wind power density forecasting using ensemble predictions and time series models[J]. IEEE Transactions on Energy Conversion, 2009, 24(3): 775-782.
Li Zhenkun, Chen Xingying, Yu Kun. Hybrid particle swarm optimization for distribution network recon- figuration[J]. Proceedings of the CSEE, 2008, 28(31): 35-41.