Optimal Power Flow for Iraqi Power System

被引：0

作者：

Anwer, Afaneen ^{[1
]}

Almosawi, Ali H. ^{[1
]}

Alshabbani, Ghazwan ^{[2
]}

机构：

[1] Univ Technol Baghdad, Dept Elect, Baghdad, Iraq

[2] Altinbas Univ, Elect & Comp Engn, Istanbul, Turkey

来源：

2ND INTERNATIONAL CONGRESS ON HUMAN-COMPUTER INTERACTION, OPTIMIZATION AND ROBOTIC APPLICATIONS (HORA 2020) | 2020年

关键词：

Cost System; Genetic Algorithm (GA); Optimal Power Flow (OPF); Transmission losses; GENETIC ALGORITHM SOLUTION; ECONOMIC-DISPATCH;

D O I：

10.1109/hora49412.2020.9152868

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：537 / 544

页数：8

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