基于混沌优化鱼群算法的配网无功优化

为解决我国现阶段配电网线路无功功率流动大造成电压水平低、有功网损大的问题，采用前推回代潮流算法建立了配电网无功优化的数学模型，以有功网损、电压偏差水平及静态电压稳定裕度最优建立优化目标函数，并采用无功二次矩法确定优化补偿点，基于混沌特性提出利用混沌人工鱼群混合算法解决人工鱼群算法的早熟收敛、全局寻优能力不足问题。对典型IEEE33节点配电网系统测试分析结果表明，该算法有效、可靠。

Reactive Power Optimization of Distribution Network Based on Chaotic Fish Algorithm

In order to solve the low voltage level and the large active power loss phenomenon caused by the distribution network reactive power flow at present, power flow algorithm of the forward and backward substitution is used to establish a mathematical model of reactive power optimization. The active power loss, the level of voltage deviation and static voltage stability margin is taken as optimal objective function. And then, optimization compensation nodes are determined with reactive secondary moment method. Based on the features of chaos, the chaotic hybrid artificial fish algorithm is proposed to solve the premature convergence and lack of global optimization capability of artificial fish algorithm. Finally, the typical IEEE 33 node distribution network is used for test analysis. The results show that the algorithm is effective and reliable.