Economic Dispatch Optimization for Thermal Power Plants in Iraq

被引：0

作者：

Al-jumaili, Mohammed ^{[1
]}

Rahebi, Javad ^{[1
]}

Akbas, Ayhan ^{[2
]}

Farzamnia, Ali ^{[3
]}

机构：

[1] Univ Turkish Aeronaut Assoc, Elect & Elect Engn Dept, TR-06790 Ankara, Turkey

[2] Univ Turkish Aeronaut Assoc, Comp Engn Dept, TR-06790 Ankara, Turkey

[3] UMS, Fac Engn, Sabah, Malaysia

来源：

2017 IEEE 2ND INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS (I2CACIS) | 2017年

关键词：

Economic Power Dispatch; Particle Swarm Optimization; PARTICLE SWARM OPTIMIZATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the Economic Power Dispatch (EPD) of the thermal power plants in Iraq is studied. The main goal of this study is to minimize the high fuel costs of the Iraqi power generation system by controlling the outputs for each generating unit via the optimization algorithms. Though the Iraqi network is composed of the total 31 thermal units, it is considered as a large-scale system, and the actual number of units that are synchronized with the network is limited to 19 units only. Particle Swarm Optimization (PSO) is proposed as a solution to be employed to solve the EPD challenge for the Iraqi network. PSO is applied to the thermal units of Iraqi network with quadratic form of fuel equations. The result of the PSO algorithm obtained has been compared with outputs of other algorithms, including Genetic Algorithm (GA) and Novel Bat algorithm (NBA).

引用

页码：140 / 143

页数：4

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