多目标粒子群算法在配电系统无功优化调度中的应用

Dorian O. Sidea, I. Picioroagă, A. Tudose, C. Bulac, I. Tristiu
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引用次数: 4

摘要

无功优化调度(ORPD)的主要目的是通过有载分接变压器(OLTC)和无功资源(包括电容器组和分布式发电机)的合理协调来降低有功损耗。除了功率损耗之外,电压偏差最小化是解决最佳无功潮流问题的另一个方面。因此,ORPD问题可以看作是一个复杂的多目标优化问题。该问题包含非线性函数、连续变量和离散变量以及众多约束,需要高性能的计算方法才能有效地计算出最优解。为此,本文采用多目标粒子群优化(MOPSO)模型,从有功损耗和电压分布的角度确定分布式发电机、变压器和电容器组的理想设置,以保证配电系统的正常运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Objective Particle Swarm optimization Applied on the Optimal Reactive Power Dispatch in Electrical Distribution Systems
The main purpose of the optimal reactive power dispatch (ORPD) is to reduce the active power losses by the right coordination of on-load tap-changing transformers (OLTC) and the reactive power resources, that may include capacitor banks and distributed generators. Additional to power losses, the voltage deviation minimization represents another aspect of interest in solving the optimal reactive power flow problem. Hence, the ORPD problem can be approached as a complex multi-objective optimization problem. Incorporating nonlinear functions, both continuous and discrete variables and numerous constraints, this problem requires highly performant computation methods for an efficient calculation of the optimal solution. In this regard, a multi-objective particle swarm optimization (MOPSO) model is applied in this paper, in order to determine the ideal settings of distributed generators, transformers and capacitor banks for the proper operation of a distribution electrical system, in terms of active power losses and voltage profiles.
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