Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari
This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as...
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| 格式: | Thesis |
| 语言: | English |
| 出版: |
2012
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| 主题: | |
| 在线阅读: | https://ir.uitm.edu.my/id/eprint/67086/2/67086.pdf |
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| 总结: | This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as a piecewise quadratic function when deal with generation units that use multiple fuel sources. In this study, the proposed PSO technique was tested on 10 units system. The results obtained show that the proposed PSO method was indeed capable of obtaining the solutions of PQCF problems. |
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