Abstract：Microsources with various output characteristics are embedded into microgrids through multiple power electronic converters, which make the power flow analysis of the microgrid even more complicated. In addition, the power flow computation within the microgrids renders probabilistic behavior due to existence of some intermittent microsources. With probability density functions of the intermittent microsources and combined with the backward-forward sweep method, an effective calculation methodology for probabilistic power plows fithin the microgrids is established, in which Monte-Carlo scheme is adopted as to simulate stochastic performance of the intermittent microsources, and the transformation characteristics of the power electronic converters are also incorporated into the proposed power flow analysis models of the microsources. A corresponding program is developed for probabilistic power flow computation, which presents referential basis for further reliability assessment and optimal control of the microgrids. The methodology based case study shows that, with proper adjustment of the control parameters of the micro source converters, the threshold-crossing hours of both voltages and currents per year can be effectively reduced as to improve operational reliability of the microgrids.
段玉兵, 龚宇雷, 谭兴国, 王辉, 李庆民. 基于蒙特卡罗模拟的微电网随机潮流计算方法[J]. 电工技术学报, 2011, 26(1增): 275-279.
Duan Yubing, Gong Yulei, Tan Xingguo, Wang Hui, Li Qingmin. Probabilistic Power Flow Calculation in Microgrid Based on Monte-Carlo Simulation. Transactions of China Electrotechnical Society, 2011, 26(1增): 275-279.
[1] Lasseter R, Akhil A, Marnay C, et al. Integration of distributed energy resources. The Consortium for Electric Reliability Technology Solutions microgrid concept[J]. Lawrence Berkeley National Laboratory: 2002. [2] 鲁宗相, 王彩霞, 闵勇, 等. 微电网研究综述[J]. 电力系统自动化, 2007, 31(19): 100-107. Lu Zongxiang, Wang Caixia, Min Yong, et al. Overview on microgrid research[J]. Automation of Electric Power Systems, 2007, 31(19): 100-107. [3] Nagaraju Pogaku, Milan Prodanovic, Timothy C. Modeling, analysis and testing of autonomous operation of an inverter-based microgrid[J]. IEEE Transaction on Power Electronics, 2007, 22(2): 613-625. [4] Mahinda Vilathgamuwa D, Poh Chiang Loh. Protection of microgrids during utility voltage sags[J]. IEEE Transactions on Industrial Electronics, 2006, 53(5): 1427-1436. [5] 王成山, 肖朝霞, 王守相. 微网综合控制与分析[J]. 电力系统自动化, 2008, 32(7): 98-103. Wang Chengshan, Xiao Zhaoxia, Wang Shouxiang. Synthetical control and analysis of microgrid[J]. Automation of Electric Power Systems, 2008, 32(7): 98-103. [6] 王守相, 黄丽娟, 王成山, 等. 分布式发电系统不平衡三相潮流计算[J]. 电力系统自动化设备, 2007, 27(8): 11-15. Wang Shouxiang, Huang Lijuan, Wang Chengshan, et al. Unbalanced three-phase power flow calculation for distributed power generation system[J]. Electric Power Automation Equipment, 2007, 27(8): 11-15. [7] 王守相, 江兴月, 王成山. 含风力发电机组的配电网潮流计算[J]. 电网技术, 2006, 30(21): 42-45, 61. Wang Shouxiang, Jiang Xingyue, Wang Chengshan. Power flow anlysis of distribution network containing wind power generators[J]. Power System Technology, 2006, 30(21):42-45, 61. [8] 赵晶晶, 李新, 许中. 含分布式电源的三相不平衡配电网潮流计算[J]. 电网技术, 2009, 33(3): 94-98. Zhao Jingjing, Li Xin, Xu Zhong. Calculation of three-phase unbalanced power flow in distribution network containing distributed generation[J]. Power System Technology, 2009, 33(3): 94-98. [9] 王成山, 郑海峰, 谢莹华, 等. 计及分布式发电的配电系统随机潮流计算[J]. 电力系统自动化, 2005, 29(24): 39-44. Wang Chengshan, Zheng Haifeng, Xie Yinghua, et al. Probabilistic power flow contain distributed generation in distribution system[J]. Automation of Electric Power Systems, 2005, 29(24): 39-44. [10] Hassan Nikkhajoei, Reza Iravani. Steady-state model and power flow analysis of electronically-coupled distributed resource units[J]. IEEE Transaction on Power Delivery, 2007, 22(1): 721-728. [11] Gagliano S, Raiti S, Tina. Hybrid solar/wind power system probabilistic modeling for longterm performance assessment[J]. Solar Energy, 2006, 85(5): 578-588.
2011, Vol. 26 
