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含分布式风光电源的配电系统故障恢复策略
引用本文:范钧慧,徐楠,刘皓明.含分布式风光电源的配电系统故障恢复策略[J].江苏电机工程,2014(1):1-4,8.
作者姓名:范钧慧  徐楠  刘皓明
作者单位:[1]上海市电力公司检修公司,上海200063 [2]河海大学能源与电气学院,江苏南京211100
基金项目:国家自然科学基金项目(51207044)
摘    要:具有随机性的风力发电和光伏发电接入配电系统对配电系统的故障恢复有很大的影响。建立了风电场异步电机的稳态模型,将异步风力发电机中的滑差修正量引入到雅克比矩阵中,计算得到含风电场的潮流分布,引入随机潮流分析风电和光伏发电对配电系统故障恢复的影响,建立以系统损耗的期望值最小和开关次数最少为指标的多目标配电系统故障恢复模型,利用基于带精英策略的非支配排序单亲遗传算法求解多目标问题,并通过IEEE 33节点配电系统进行仿真,研究结果说明模型的合理性以及方法的有效性。

关 键 词:配电系统  故障恢复  风电  光伏  随机潮流

Fault Recovery Strategy for Distribution Systems with Distributed Wind-Solar Generating System
FAN Junhui,XU Nan,LIU Haoming.Fault Recovery Strategy for Distribution Systems with Distributed Wind-Solar Generating System[J].Jiangsu Electrical Engineering,2014(1):1-4,8.
Authors:FAN Junhui  XU Nan  LIU Haoming
Affiliation:1.Inspection & Maintenance Company, Shanghai Electric Power Company, Shanghai 200063,China; 2. College of Energy and Electric Engineering, Hohai University, Nanjing 211100 ,China)
Abstract:Wind power and solar power with the stochastic characteristics have greater influences on fault recovery strategies of distribution system. This paper proposes fault recovery strategies for the distribution system considering the influences of wind and solar power. Firstly, a simplified steady-state equivalent model of an asynchronous generation is used to demonstrate the wind power generators, and the stochastic model of wind speed is adopted. The slip ratio is added into Jacobian matrix to calculate power flow of distribution system. The probabilistic output of solar power is considered as an injection power which is influenced by solar irradiance. Secondly, three-point estimate method is employed to solve probabilistic power flow of distribution systems. The recovery problem is presented as a multi-objective problem with the minimum mean of the system loss and the numbers of switch operation. Fast Elitist Non-Dominated Sorting Partheno-Genetic Algorithm is used to solve this multi-objective problem. A test system is used to show that the models and algorithms proposed are efficient.
Keywords:distribution systems  fault recovery  wind power  solar power  probabilistic power flow
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