A review on optimal power flow problem and solution methodologies

Mukund B. Maskar, A. Thorat, Iranna Korachgaon
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引用次数: 17

Abstract

The main motto of power system is to provide reliable power supply with most economical cost. To achieve this motto, there is need of various tools which can monitor, analyze and control the power system. Few of them are Economic Dispatch (ED) and optimal power flow (OPF). ED has aims to plan committed generating units to fulfill load demand for minimizing cost without violating equality and inequality constraints. OPF problem is tool to achieve optimal state of control variables by minimizing desired objective with satisfying all related constraints. The conventional methods are used to solve OPF but due to hybrid generation scenario the system become more complex where conventional method fails to achieve objective. So nature inspired called artificial intelligence methods inspected to solve complex OPF problem. The focus of this paper to prompt review study on various optimization techniques used to solve OPF for better understanding of all methods used in past.
最优潮流问题及其求解方法综述
电力系统的主要宗旨是以最经济的成本提供可靠的电力供应。为了实现这一目标,需要各种能够监测、分析和控制电力系统的工具。其中经济调度(ED)和最优潮流(OPF)问题较少。电力系统的目标是在不违反相等和不相等约束的情况下,规划承诺发电机组以满足负荷需求,从而使成本最小化。OPF问题是在满足所有相关约束条件的情况下,通过最小化期望目标来实现控制变量最优状态的工具。传统的方法求解OPF,但由于混合发电场景的存在,系统变得更加复杂,传统的方法无法达到目标。因此大自然启发了人工智能方法来解决复杂的OPF问题。为了更好地理解过去使用的所有方法,本文的重点是提示对用于解决OPF的各种优化技术的回顾研究。
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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