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Optimal solution of reliability constrained unit commitment using hybrid genetic algorithm-priority list method

机译:混合遗传算法-优先级列表法的可靠性约束单元承诺最优解

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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.
机译:本文提出了基于优先级列表方法的遗传算法来完成单元承诺问题。在解决此UC问题时,还考虑了可靠性约束,以提高所获得解决方案的可行性。本文使用的可靠性约束是负载概率指数,以评估所需的旋转储备。同时,通过lambda迭代解决了经济负荷分配问题。此方法已在案例研究26单元系统上进行了测试。本文所使用的优先级列表可以使遗传算法收敛得更快更好。所提出的混合方法的结果与本文中提到的其他方法进行了比较。

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