基于混合遗传算法的可靠性约束机组承诺优化求解

Sarjiya, A. Mulyawan, A. Sudiarso
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引用次数: 4

摘要

提出了一种基于优先级列表方法的遗传算法来解决机组承诺问题。在求解该UC问题时,还考虑了可靠性约束,以提高所得解的可行性。本文采用负荷损失概率指标作为可靠性约束来评估所需的旋转储备。同时,采用lambda迭代法求解子问题经济负荷调度问题。该方法在26单元系统的实例研究中得到了验证。本文所采用的优先级列表可以使遗传算法更好更快地收敛。将所提出的混合方法的结果与其他方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal solution of reliability constrained unit commitment using hybrid genetic algorithm-priority list method
This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list approach. In solving this UC problem, reliability constraint is also considered to increase the feasibility of the obtained solution. Reliability constraint used in this paper is loss of load probability index to evaluate the required spinning reserve. Meanwhile, the sub problem, economic load dispatch problem is solved by using lambda iteration. This method is tested on case study 26 unit system. Priority list which is used in this paper can make genetic algorithm to convergence better and faster. The results of the proposed hybrid method are compared with other methods referred in this paper.
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