ABSTRACT

This paper presents a new hybrid PPSOGSA algorithm based on the phasor particle swarm optimization (PPSO) and gravitational search algorithm (GSA) for solving the Volt/VAr/THDv control optimization problem in radial distribution systems with non-linear loads. The PPSOGSA’s performance is analyzed and evaluated using the standard IEEE 30-bus radial distribution test system. The optimal solutions are obtained based on the following three optimization criteria: minimization of total active power losses, minimization of the voltage deviation, and a simultaneous minimization of total active power losses and voltage deviation. The voltage total harmonic distortion levels (THDv) are estimated using the decoupled harmonic power flow (DHPF) algorithm. Simulation results, obtained using the proposed PPSOGSA-based approach, are compared with those obtained using the other optimization algorithms such as PSO, PPSO, GSA, and PSOGSA. It is shown that the PPSOGSA-based approach has better performance in comparison to the other optimization techniques.

摘要

本文提出了一种新的基于相量粒子群优化（PPSO）和重力搜索算法（GSA）的混合PPSOGSA算法，用于求解非线性负载径向分布系统的Volt / VAr / THDv控制优化问题。使用标准的IEEE 30总线径向分布测试系统来分析和评估PPSOGSA的性能。基于以下三个优化标准获得了最佳解决方案：总有功功率损耗的最小化，电压偏差的最小化以及总有功功率损耗和电压偏差的同时最小化。电压总谐波失真水平（THDv）使用去耦谐波潮流（DHPF）算法估算。使用建议的基于PPSOGSA的方法获得的仿真结果，与使用其他优化算法（例如PSO，PPSO，GSA和PSOGSA）获得的结果进行比较。结果表明，与其他优化技术相比，基于PPSOGSA的方法具有更好的性能。