伊拉克电力系统最优潮流分析

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI:10.1109/HORA49412.2020.9152868

Afaneen Anwer, A. Almosawi, G. Alshabbani

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引用次数: 0

摘要

在电力系统的运行和规划中，运营商需要针对不同的目标做出决策。因此，开发了许多工具来帮助作业者。最优潮流(OPF)是帮助作业者在特定约束条件下优化系统的工具之一。本文为解决最优潮流问题提供了一种有效可靠的动态方法。该方法采用遗传算法对OPF问题的控制变量进行优化。目标函数是降低发电成本和输电损耗。将所提出的算法应用于伊拉克电力系统39总线，结果表明了所提出的遗传算法在求解OPF问题中的强度、耐久性和有效性。

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Optimal Power Flow for Iraqi Power System

In operating and planning power systems, operators need to make decisions for different goals. As it happened, many tools were developed to assist operators. One of the tools that helps operators operate the system optimally under certain constraints is the optimal power flow (OPF). This paper offers an effective and reliable dynamic approach for solving the problem of optimum power flow. The proposed approach employs the genetic algorithm (GA) to optimize the control variables for the (OPF) issue. The target function is decreasing the cost of generation and the losses of transmission. The proposed algorithm applied to the Iraqi power system 39-bus, and the results showed the strength, durability, and proposed of the effectiveness genetic algorithm in solving the OPF issue.

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2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)

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