基于遗传算法的电力有序利用优化方案自动生成方法

J. Huang, Qing-Lin Zuo, Fu-Lin Mu
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引用次数: 3

摘要

有序的电力利用管理已成为实现现有电力资源合理配置的重要途径。目前,有序用电方案的制定主要依靠电力专家的经验。当该过程具有多种信息和计算负担时,仅依靠专家很难及时有效地制定有序的电力利用方案。为此,本文提出了一种电力有序利用优化方案的自动生成方法。该方法包括建立评价指标体系、计算模型和评价函数,并通过遗传算法寻找优化方案。最后进行了仿真和实验验证。结果表明,所提方法可为电力有序利用的最终方案提供有力参考,从而实现资源优化配置和社会效益最大化的目标。
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Automatic Generation Method of Optimization Scheme for Orderly Power Utilization Based on Genetic Algorithm
The orderly power utilization management has become an important way to realize the reasonable distribution of the existing power resources. Currently, the formulation of orderly power utilization scheme mainly depends on the experiences of power experts. When the process has multifarious information and computation burdens, it is hard to formulate the orderly power utilization schemes timely and efficiently only depending on the experts. Hence, this paper proposes an automatic generation method of optimization scheme for orderly power utilization. The method involves the establishment of evaluation index system, calculation models and evaluation function, and searching for optimization scheme through the genetic algorithm. At last the simulation and experimental verification are performed. The results show that the proposed method can provide a powerful reference to the final scheme of orderly power utilization, thus achieving the goal of optimizing the allocation of resources and the maximization of social benefits.
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