Open Access
Issue
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
Article Number 01020
Number of page(s) 6
Section Ultra-Low Energy Consumption Building Technology
DOI https://doi.org/10.1051/e3sconf/201913601020
Published online 10 December 2019
  1. Y.G. Bae. Analytical method of capacitor allocation on distribution primary feeders[J]. IEEE Trans. on Power Apparatus and Systems, 1978, 97(11):1232-1238. [CrossRef] [Google Scholar]
  2. Qiu J, Shahidephour S.M. A new approach for minimizing power losses and improving voltage profile[J]. IEEE Trans. on Power System, 1987, 2(2):287-295. [CrossRef] [Google Scholar]
  3. Li Lincuan, Wang Jianyong, Chen Liyi, Song Wennan. Optimal reactive power planning of electrical power system[J]. Proceedings of the CSEE, 1999, 19(2): 66-69. [Google Scholar]
  4. M.E. Baran, F.F. Wu. Optimal capacitor placement on radial distribution systems[J]. IEEE Trans. on Power System, 1989, 4(1):725-734. [CrossRef] [Google Scholar]
  5. M.E. Baran, F.F. Wu. Optimal sizing of capacitor placed on a radial distribution systems[J]. IEEE Trans. on Power System, 1989, 4(1):725-734. [CrossRef] [Google Scholar]
  6. Wang Chenshan, Tang Xiaoli, Yu Yixin, et al. Application of benders decomposition based on a hierarchical programming in reactive power planning[J]. Automation of Electric Power Systems, 1998, 22(11):14-17. [Google Scholar]
  7. Gao Huimin, Zhang Jianmin, Jiang Li. Optimal Location of reactive power compensation for distribution network based on second order loss-reactive power sensitivity matrix. Power System Technology, 2014, 38(7): 1979-1983. [Google Scholar]
  8. Ma Xiufan, Cui Huanjun. An improved genetic algorithm for distribution network planning with distributed generation[J]. Transactions of China Electrotechnical Society, 2011, 26 (3): 175-181. [Google Scholar]
  9. Zhang Lizi, Shu Jun, Lin Xiaoshu, et al. Reactive power planning based on genetic algorithm[J]. Proceedings of the CSEE, 2000, 20(6): 5-8 [Google Scholar]
  10. Zhang Yongjun, Ren zhen, Zhong Hongmei, et al. Cataclysmic genetic algorithms based on optimal reactive power planning[J]. Automation of Electric Power Systems, 2002, 26(23): 29-32. [Google Scholar]
  11. Yun Xinmei, Li Yan, Xiong Xinyin, et al. Optimal shunt capacitor placement using particle swarm optimization algorithm with harmonic distortion consideration[J]. Proceedings of the CSEE, 2003, 23(2): 26-30. [Google Scholar]
  12. Hu Haiyan, Wu xiaomeng, Li Jian. Genetic algorithm based on optimal dynamic planning of low-voltage side reactive power compensators[J]. Electric Power Automation Equipment, 2005, 25(3): 26-29. [Google Scholar]
  13. Han Xiaojuan, Wang Lina, Gao Tong, et al. Generation planning of grid-connected micro-grid system with PV and batteries storage system based on cost and benefit analysis[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 31-39. [Google Scholar]
  14. Ding Xiaoqun, Wang Kuan, Shen Maoya, et al. Application of Genetic Algorithm combining modal analysis in reactive power planning for distribution network[J]. Power System Technology, 2006, 30(17): 47-50. [Google Scholar]
  15. Xu Yuqin, Liu Yang, Xie Qing. Research on reactive power planning of distribution network based on life cycle cost [J]. Power System Protection and Control, 2018, 46(11): 30-36. [Google Scholar]
  16. T.S. Abdel-Salam, A.Y. Chikhani, R. Hackam. A new technique for loss reduction using compensating capacitors applied to distribution systems with varying load condition[J]. IEEE Trans. On Power Delivery, 1994, 9(2): 819-827. [CrossRef] [Google Scholar]
  17. M. Chis, M.M.A. Salama, S. Jayaram. Capacitor placement in distribution systems using heuristic search strategies[J]. IEE Preceeding Generation, Transmission and Distribution, 1997, 144(2): 225-230. [CrossRef] [Google Scholar]
  18. H.N.Ng, M.M.A. Salama, A.Y. Chikhani. Capacitor allocation by approximate reasoning:fuzzy capacitor placement[J]. IEEE Trans On Power Delivery, 2000, 15(1): 393-398. [CrossRef] [Google Scholar]

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