文章摘要信息 关键词 : 水火电调度;峰谷分时电价;微分进化算法;目标优化 [gap=1365]Keywords : hydrothermal scheduling;time-of-use price;differential evolution algorithm;objective optimization ..
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hydrothermal generation scheduling 电力系统发电调度
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To solve hydrothermal power system resource short-term optimization scheduling problem, this paper proposed a novel scheduling solution based on chaos particle swarm optimization algorithm.
为了有效地解决水火电力系统资源短期优化调度问题,提出了一种基于混沌粒子群算法的调度方案。
Experimental result shows that proposed algorithm can solve the scheduling problem of hydrothermal power system resource, and has the advantage of good application value.
实验结果表明,该算法能有效解决水火发电资源调度问题,具有较好的应用价值。
The goal of this research is to overcome the limitations of the existing method of solving the short-term generation optimal scheduling in hydrothermal power systems.
为克服现有方法求解复杂水火电力系统短期发电优化计划的缺陷,提出一种新型优化算法对此类动态非线性约束优化问题进行求解。
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