Optimal Dispatch Of Active Power Using Classical And Artificial Methods On The Distribution Networks

Shohreh Monshizadeh, G. J. Hegglid, Svein Thore Hagan
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Abstract

Optimal power dispatch (OPD) problems has a major role in security and flexibility of power systems. It is useful to enhance the voltage stability, minimization the power losses and improvement of voltage profile. In recent years, several methodologies based on computer algorithms and mathematical formulation have been proposed for solving optimal reactive power dispatch. The techniques are classified based on conventional and intelligent methods. The objective of this paper is minimization the power losses using intelligent algorithms like Particle Swarm Optimization method and conventional method like Newton Raphson. Particle Swarm Optimization (PSO) is based on the simulation the act of group of fishes or birds in searching space for finding optimal solution as the piece of food. The proposed algorithms are analyzed on the Nordic 44 system. The results of simulation show the reduction of total power losses using intelligent method. The proposed methods are tested on Nordic 44 test system, IEEE 9 buses, 14 buses, and 30 buses.
配电网有功功率的经典与人工优化调度
最优电力调度问题对电力系统的安全性和灵活性有着重要的影响。这对提高电压稳定性、减小功率损耗和改善电压分布具有重要意义。近年来,人们提出了几种基于计算机算法和数学公式的方法来求解最优无功调度问题。这些技术分为传统方法和智能方法。本文的目标是利用智能算法如粒子群优化方法和传统方法如Newton Raphson最小化功率损耗。粒子群优化算法(Particle Swarm Optimization, PSO)是将一群鱼或鸟在空间中寻找最优解的行为模拟为一块食物。在Nordic 44系统上对所提出的算法进行了分析。仿真结果表明,采用智能方法可以降低总功耗。在北欧44测试系统、IEEE 9总线、14总线和30总线上进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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