Application of Multi-Objective PSO Algorithm for Economic Dispatch (ED) through Unit Commitment Problems (UCP)

被引：0

作者：

Dhifaoui, Chefai ^{[1
]}

Guesmi, Tawfik ^{[1
]}

Abdallah, Hsan Hadj ^{[1
]}

机构：

[1] Natl Engn Sch Sfax ENIS, Control & Energies Management CEM Lab, Sfax, Tunisia

来源：

201415TH INTERNATIONAL CONFERENCE ON SCIENCES & TECHNIQUES OF AUTOMATIC CONTROL & COMPUTER ENGINEERING (STA'2014) | 2014年

关键词：

unit commitment; MOPSO algorithm; economic load dispatch; power system; Electrical Power Generation; 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：

This paper presents a new approach via MOPSO algorithm to solve optimal Economic Dispatch (ED) via Unit Commitment Problems (UCP). The unit commitment problem can be defined as the scheduling of production of electric power generating units over a daily to weekly time horizon in order to accomplish some objective. The problem solution must respect both generator constraints (such as ramp rate limits and minimum up or down times) and system constraints (reserve and energy requirements and, potentially, transmission constraints). The first function is the production cost. While the second one is the transition cost. A comparative study is conducted to examine the impact of reliability constraint on the optimal solution obtained. The ten machine thirty nine-bus system is used and the results show the effectiveness of MOPSO and confirm its potential to solve the unit commitment problem.

引用

页码：704 / 710

页数：7

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