分布式发电与电容器组优化配置的多目标鲸鱼优化算法

A. Saleh, A. Mohamed, A. Hemeida, A. A. Ibrahim
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引用次数: 13

摘要

本文提出了一种优化技术鲸鱼优化算法(whale optimization algorithm, WOA),用于寻找径向配电系统中分布式发电(DG)和电容器在降低单目标和多目标函数(即网络损耗、电压偏差和总运行成本)时的最佳配置。采用加权和法形成多目标函数。本文对多台dg机组在有电容器和无电容器(C)两种负载功率因数(即统一和最优)下进行了分析,并将WOA技术应用于33母线径向配电系统。在不同的系统运行条件下,比较了WOA技术与其他进化优化方法的性能。仿真结果显示了基于所提出的算法在合适的位置积分DG和C的适当尺寸的影响。
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Multi-Objective Whale Optimization Algorithm for Optimal Allocation of Distributed Generation and Capacitor Bank
In this paper, proposed optimization technique called whale optimization algorithm (WOA) is presents to find the optimum allocation of distributed generation (DG) and capacitor in radial distribution systems during reduction of single and multi-objective function namely, (network power losses, voltage deviation, and total operating cost). The multi objective function is formed by the use of weighted sum method. In this paper, multiple-DG units have been analyzed under two load power factors (i.e., unity and optimal) with and without capacitor (C). WOA technique has been applied to a 33-bus radial distribution system. The performance of the WOA technique is compared with other evolutionary optimization methods under different operating conditions of the system. The impact of integrating the proper size of DG and C at the suitable placement based on proposed algorithm are shown in the simulation results.
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