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提出了一种将快速非支配排序遗传算法(NSGA—Ⅱ)应用于配电网多目标无功优化的方法。该方法应用前推回代算法计算配电网潮流,采用十进制编码方式,可以同时对无功补偿设备的接入位置和接入容量进行优化。该算法运行一次可以得到多个分布均匀的Pareto最优解,决策者可以根据实际需要进行选择,为各目标之间的权衡分析提供了有效的依据。
A new method of applying non-dominated ranking genetic algorithm (NSGA-Ⅱ) to multi-objective reactive power optimization in distribution network is proposed. This method uses the forward-back-forth algorithm to calculate the distribution network power flow and uses decimal coding to optimize the access position and access capacity of the reactive power compensation equipment at the same time. The algorithm runs once to get multiple evenly distributed Pareto optimal solutions, decision makers can choose according to actual needs, and provides an effective basis for the trade-off analysis between the targets.