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Optimal capacitor placement in distribution networks regarding uncertainty in active power load and distributed generation units production

机译:考虑有功功率负载和分布式发电机组生产中的不确定性的配电网络中的最佳电容器放置

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The paper proposes a new method for optimal allocation of shunt capacitors in distribution network with renewable distributed generation units such as wind turbines and/or solar power plants. The proposed method, based on application of the Monte Carlo simulation methods, respects the uncertainties associated with load demand and renewable sources power production. The optimisation problem is modelled by two criterion functions with the aim of improving voltage profile in a network by optimal selection of the locations and installed powers of the shunt capacitors. The suggested criterion functions have been optimised simultaneously by applying the non-dominated sorting genetic algorithm. On the basis of the measured data on wind speed and solar radiation, the method has been tested by the example of a real distribution network.
机译:本文提出了一种新方法,用于在具有可再生分布式发电单元(例如风力涡轮机和/或太阳能发电厂)的配电网中优化分配并联电容器。该方法基于蒙特卡罗模拟方法的应用,考虑了与负荷需求和可再生能源发电相关的不确定性。通过两个标准函数对优化问题进行建模,旨在通过最佳选择并联电容器的位置和安装功率来改善网络中的电压分布。通过应用非支配排序遗传算法,可以同时优化建议的标准函数。根据有关风速和太阳辐射的实测数据,已通过一个实际配电网络示例对该方法进行了测试。

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