Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan
In modern energy management system, maintaining an economical, secure and reliable generation scheduling is an important operation problem. Competitive bidding for energy and ancillary services are gradually more known as an important part of electricity market. Additionally, the transmission capaci...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 语言: | English |
| 出版: |
2017
|
| 主题: | |
| 在线阅读: | https://ir.uitm.edu.my/id/eprint/67246/2/67246.pdf |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
| 总结: | In modern energy management system, maintaining an economical, secure and reliable generation scheduling is an important operation problem. Competitive bidding for energy and ancillary services are gradually more known as an important part of electricity market. Additionally, the transmission capacity limit must be considered in optimizing the total market cost. In this study, an approach based on constrained particle swarm optimization (PSO) is developed to cope with the generation and reserve, and multi-area electricity market dispatch problem. The PSO method proposes a solution for optimizing the total cost in a multi-area competitive market considering the system constraints. A test system consisting of six generation unit is tested by using the proposed method. |
|---|