Improved PSO & Its Application for DOPF in FSWGs Integrated Power System

Gonggui Chen, Hangtian Lei, Jian Xu
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Abstract

Dynamic optimal power flow (DOPF) is a typical complex multi-constrained non-convex non-linear programming problem when considering the valve-point effect of conventional generators. Moreover, it is mixed integer when considering the discreteness of reactive compensation devices for power system with fixed speed wind generators (FSWGs). DOPF model is established in this paper, and then an improved particle swarm optimization (IPSO)is adopted for solving the established DOPF model. IEEE 39-bus system is used to illustrate the effectiveness of the proposed method compared with those obtained from particle swarm optimization (PSO) algorithm. The test results show that the proposed method is effective and has a certain practicality.
改进粒子群算法及其在FSWGs综合电力系统中的应用
考虑常规发电机组的阀点效应,动态最优潮流是一个典型的复杂多约束非凸非线性规划问题。此外,考虑到固定转速风力发电机组的电力系统无功补偿装置的离散性,其为混合整数。本文建立了DOPF模型,并采用改进的粒子群算法(IPSO)对所建立的DOPF模型进行求解。以IEEE 39总线系统为例,与粒子群优化(PSO)算法进行了比较,验证了所提方法的有效性。试验结果表明,该方法是有效的,具有一定的实用性。
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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