基于人工蜂群算法的配电网无功优化

针对配电网电压质量较低的问题,建立了完整的无功优化模型。首先提出了一种新的无功补偿候选点的方法,即先基于网损最小选择无功补偿点,在此基础上再用动态优化选择无功补偿点;然后建立以网损最小、并联电容器容量最小、电压水平最好、两类电压稳定裕度最大的无功优化目标函数,用模糊方法将含有量纲的多目标问题转化为没有量纲的单目标问题;接着用人工蜂群(ABC)算法确定无功补偿点和容量。最后对IEEE-33节点配电网系统进行了测试分析,并与其它两种优化算法相比较,结果表明使用该优化算法,配电网无功配置方案较优,线路损耗明显降低,电压质量和电压稳定裕度明显提高。

Reactive Power Optimization of Distribution Network Based on Artificial Bee Colony Algorithm

A mathematical model for reactive power optimization is proposed in this paper to solve the voltage quality problems in distribution network.Firstly,a new selecting method for the candidate sites of reactive power compensation is presented,which can dynamic select reactive power compensation sites based on minimum net loss.Then a multi-objectives function with minimum net loss,minimum capacity of the parallel capacitor,the best voltage level,the maximum first and second voltage stability margin are built,and the fuzzy method is used to change multi-objective problem with dimension into a single objective problem without dimension.Furthermore,the optimal sites and capacity of reactive power compensation are obtained by using of the artificial bee colony(ABC) algorithm,which can seek the global optimized solution effectively by comparing with other optimized algorithms.In the end,the IEEE-33 bus distribution network is used as test system,and the results show that the reactive equipment scheme of distribution network obtained by proposed algorithm is better,network loss is obviously decreased,and voltage stability and voltage quality are significantly improved.