| 微电网群功率优化控制 |
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| 引用本文： | 熊雄,王江波,井天军,杨仁刚,叶林.微电网群功率优化控制[J].电力自动化设备,2017,37(9). |
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| 作者姓名： | 熊雄 王江波 井天军 杨仁刚 叶林 |
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| 作者单位： | 中国农业大学 信息与电气工程学院，北京 100083,中国农业大学 信息与电气工程学院，北京 100083,中国农业大学 信息与电气工程学院，北京 100083,中国农业大学 信息与电气工程学院，北京 100083,中国农业大学 信息与电气工程学院，北京 100083 |
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| 摘 要： | 随着间歇性电源(分布式风电、光伏)在中、低压配电网中渗透率的提高,多个微电网可能共存于一个区域配电网中,各微电网间能量互济与协调控制的微电网群技术开始引起广泛的关注。以微电网研究为基础,分析了微电网群的典型特征及拓扑结构。以微电网群功率波动为研究对象,建立了微电网群功率波动熵值的动态调度模型,采用量子粒子群优化算法进行求解实现优化控制。仿真结果验证了所提微电网群功率优化控制方法的正确性和有效性。
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| 关 键 词： | 微电网群 功率波动 熵值模型 量子粒子群算法 功率控制 优化 |
Power optimization control of microgrid cluster |
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| XIONG Xiong,WANG Jiangbo,JING Tianjun,YANG Rengang and YE Lin.Power optimization control of microgrid cluster[J].Electric Power Automation Equipment,2017,37(9). |
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| Authors: | XIONG Xiong WANG Jiangbo JING Tianjun YANG Rengang and YE Lin |
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| Affiliation: | College of Information and Electrical Engineering, China Agriculture University, Beijing 100083, China,College of Information and Electrical Engineering, China Agriculture University, Beijing 100083, China,College of Information and Electrical Engineering, China Agriculture University, Beijing 100083, China,College of Information and Electrical Engineering, China Agriculture University, Beijing 100083, China and College of Information and Electrical Engineering, China Agriculture University, Beijing 100083, China |
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| Abstract: | Due to the increased penetration of intermittent power generations(distributed wind power and photovoltaic power) in medium and low voltage distribution network, multiple microgrids may coexist in a regional distribution system, and therefore the microgrid cluster technologies of energy mutual-aid and coordination control have attracted wide attention. Based on the research of microgrid, typical characteristics and topology structure of microgrid cluster are analyzed. With power fluctuations of microgrid cluster as research objects, the dynamic dispatch model of power fluctuation entropy of microgrid cluster is established, which is solved by QPSO(Quantum Particle Swarm Optimization) algorithm to realize the optimization control. Simulative results verify the correctness and effectiveness of the proposed power optimization control method of microgrid cluster. |
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| Keywords: | microgrid cluster power fluctuation entropy model QPSO algorithm power control optimization |
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