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Distribution System Fault Recovery with Undispatchable Distributed Generations

机译：分发系统故障恢复与未分类的分布代

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Considering the probabilistic of the wind power and the solar power, a fault recovery method for distribution systems with the wind power and the solar power is presented in this paper. For the wind power, a simplified steady-state equivalent model of an asynchronous wind generator is added into the Jacobian matrix to consider the impact of the wind power on systems. For the solar power, its output is considered as an injected power which is related with solar irradiance. Three-point estimate is employed to solve the probabilistic power flow of distribution systems with the wind power and the solar power. The restoration is described as a multi-objective problem with the mean of the system loss and the number of switch operations. Fast elitist non-dominated sorting partheno-genetic algorithm is used to solve this multi-objective problem. IEEE 33-bus system is used as an example and the results show that the models and algorithms in this paper are efficient.
机译：考虑到风电和太阳能的概率，本文提出了一种带风电和太阳能的分配系统故障恢复方法。对于风力电力，将简化的异步风力发生器的等效模型添加到Jacobian矩阵中，以考虑风电对系统的影响。对于太阳能功率，其输出被认为是与太阳辐照度相关的注入功率。采用三点估计来解决具有风电和太阳能的分配系统的概率动力流。恢复被描述为具有系统丢失的平均值和开关操作的数量的多目标问题。快速的精油非主导的分类帕尼诺 - 遗传算法用于解决这个多目标问题。 IEEE 33-Bus系统用作示例，结果表明本文中的模型和算法是有效的。

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