基于改进ICA算法的配电网无功优化

Reactive Power Optimization of Distribution Network Based on Improved ICA Algorithm

现代配电网的无功优化问题往往需要考虑配电网的网损、电压偏差以及电压稳定性等指标。本文结合配电网的特点,建立了以有功网损最小为目标的配电网无功优化模型,并制定了相应的等式约束条件、不等式约束条件。针对传统帝国竞争算法(ICA)易陷入局部最优的缺点,引入混沌映射加以改进,运用改进的ICA算法、采用MATLAB语言对IEEE30节点系统进行仿真验证,并将优化结果与遗传算法和传统帝国竞争算法的结果进行对比分析,结果表明改进ICA算法在解决无功优化问题中具有更强的全局搜索能力和更快的收敛速度。

The reactive power optimization problem of modem distribution network often needs to consider the network loss, voltage deviation and voltage stability of the distribution network. Based on the characteristics of the distribution network ,this paper establishes the reactive power optimization model of the distribution network with the minimum active power loss as the target, and determines the corresponding equality constraints and inequality constraints? In view of the shortcomings of traditional empire competition algorithm (ICA) falling into local optimum, chaotic map is introduced to improve? Using the improved ICA algorithm and MATLAB language to verify the IEEE30 node system, and compare the optimization results with the results of genetic algorithm and traditional empire competition algorithm. The results show that the improved ICA algorithm is stronger in solving the reactive power optimization problem. Global search capabilities and faster convergence speeds.