Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels
Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels
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DOI：
10.1109/tpwrs.2005.857924
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发表时间：
2005-10
影响因子：
6.6
通讯作者：
C. Chiang
中科院分区：
文献类型：
--
作者：
C. Chiang
本文提出了一种改进的带乘子更新的遗传算法（伊加/spl I.bar/MU），用于求解计及阀点效应和多种燃料的机组电力经济调度问题。建议的伊加/spl I.bar/MU集成了改进的遗传算法（伊加）和乘数更新（MU）。改进的进化方向算子和迁移操作使伊加能够有效地搜索和主动探索解，MU用于处理PED问题的等式和不等式约束.很少有PED问题相关的研究很少解决阀点负载和更换燃料。为了显示所提出的算法的优点，它被应用到测试PED问题与一个例子考虑阀点效应，一个例子考虑多种燃料，和一个例子解决阀点效应和多种燃料。此外，所提出的算法与以前的方法和传统的遗传算法（CGA）与MU（CGA/spl I.bar/MU）进行了比较，揭示了所提出的伊加/spl I.bar/MU比以前的方法更有效，并且比CGA/spl I.bar/MU更有效地应用于现实的PED问题。特别是，该算法是非常有前途的大规模系统的实际PED操作。
This paper presents an improved genetic algorithm with multiplier updating (IGA/spl I.bar/MU) to solve power economic dispatch (PED) problems of units with valve-point effects and multiple fuels. The proposed IGA/spl I.bar/MU integrates the improved genetic algorithm (IGA) and the multiplier updating (MU). The IGA equipped with an improved evolutionary direction operator and a migration operation can efficiently search and actively explore solutions, and the MU is employed to handle the equality and inequality constraints of the PED problem. Few PED problem-related studies have seldom addressed both valve-point loadings and change fuels. To show the advantages of the proposed algorithm, which was applied to test PED problems with one example considering valve-point effects, one example considering multiple fuels, and one example addressing both valve-point effects and multiple fuels. Additionally, the proposed algorithm was compared with previous methods and the conventional genetic algorithm (CGA) with the MU (CGA/spl I.bar/MU), revealing that the proposed IGA/spl I.bar/MU is more effective than previous approaches, and applies the realistic PED problem more efficiently than does the CGA/spl I.bar/MU. Especially, the proposed algorithm is highly promising for the large-scale system of the actual PED operation.