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作 者:刘科研[1] 盛万兴[1] 贾东梨[1] 孟晓丽[1] 闫文棋 张筱慧[2] Liu Keyan Sheng Wanxing Jia Dongli Meng Xiaoli Yan Wenqi Zhang Xiaohui(China Electric Power Research Institute, Beijing 100193, China College of Agriculture, China Agricultural University, Beijing 100193, China)
机构地区:[1]中国电力科学研究院,北京100192 [2]中国农业大学信息与电气工程学院,北京100083
出 处:《可再生能源》2017年第5期702-708,共7页Renewable Energy Resources
基 金:国家电网公司研究项目(PD71-15-042)
摘 要:文章提出了一种基于协同进化蚁群算法的含光伏发电的配电网重构方法,该方法将复杂的含光伏配电网重构问题分解为一系列相互联系的子优化问题,建立了以配电网网络损耗最小和负荷均衡化率最小的多目标子区域优化模型,以及以系统总运行费用最小为目标的整体优化模型。各子区域内部采用蚁群算法独立求解,子区域间通过代表个体的交互配合和不断协同进化,最终实现整体最优的目的。由114节点配电网仿真结果表明:文章所提出的方法能有效提高算法的计算速度和求解质量;光伏发电接入配电网后,能够降低运行费用和减少开关动作次数,有助于配电网安全经济运行。Aiming at the gradual increase of the penetration of the photovoltaic generation and the expansion of the scale of the distribution network,the traditional reconstruction algorithm has the problems of long computation search time and easily to fall into premnature.In this paper,a new method of distribution network reconfiguration with Photovoltaic Generation based on CO evolutionary ant colony algorithm is proposed.The complex reconfiguration with Photovoltaic Generation problem is decomposed into a series of interrelated sub optimization problems.A multi-objective regional optimization model is established to minimize the active power loss of distribution network and load balancing rate,and the integrated optimization model with the minimum total operating cost as the target is established.Each sub region evolves independently based on ant colony algorithm,and different regions interact on each other through the representative individual.After continuous coordination and evolution,the global optimal solution can be obtained.The simulation results of a 114 node distribution network show that the proposed method can improve the calculation speed and ameliorate the quality of the solution,meanwhile the photovoltaic generation can reduce operating costs and the number of switching actions,which is helpful to the safe and economical operation of distribution network.
分 类 号:TM614[电气工程—电力系统及自动化]
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