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Multi-objective optimization method for power system peak-shaving based on index linkage analysis

机译:基于索引连杆分析的电力系统峰值多目标优化方法

摘要

The invention relates to a multi-objective optimization method for power system peak-shaving based on index linkage analysis. The invention comprehensively considers five peak shaving indexes, and introduces a linkage analysis theory in economics to test stationarity and causality of data series of peak-shaving indexes. The purpose is to effectively clarify linkage relationship between indexes. A regression analysis method is used to quantify the mutual influence relationship. A multi-index coupling peak shaving optimization model for generation scheduling is developed and finally solved by using genetic algorithm. The invention can objectively describe comprehensive peak shaving requirements of a provincial power grid, and is helpful for generation dispatcher to reduce subjective assumptions in the decision-making. Compared with a conventional single-index peak-shaving model, peak-shaving effect of our method is obviously improved, which provides a novel technical way for peak-shaving generation scheduling and decision-making in short-term operations of power systems.
机译:本发明涉及一种基于索引连杆分析的电力系统峰值峰值的多目标优化方法。本发明全面考虑了五个峰值剃须指数,并在经济学中引入了一种经济学中的联系分析理论,以测试峰值剃尖指标数据序列的实例性和因果关系。目的是有效地阐明了索引之间的联系关系。回归分析方法用于量化相互影响的关系。开发了一种多索引耦合峰值剃料优化模型,终止通过遗传算法解决。本发明可以客观地描述省级电网的综合峰值剃须要求,并且有助于发电机,以降低决策中的主观假设。与传统的单索峰剃料模型相比,我们的方法的峰值剃须效果明显提高,这为电力系统短期运营中的峰值剃须发电调度和决策提供了一种新颖的技术方法。

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