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基于灰色关联的季不均衡系数的分析方法与应用 被引量:1

Analysis Method of Load Seasonal Unbalance Coefficient Based on Gray Relational Degree Analysis and Its Application
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摘要 季不均衡系数是年负荷特性的重要参数之一,掌握影响季不均衡系数的主要因素,就能够比较准确地把握一个地区的年负荷特性,对于制定电网的年度运行计划具有较大的帮助。提出了一种基于灰色关联的季不均衡系数的分析方法,结合历史年份的具体数据,定量地区分了季不均衡系数各影响因素的权重,并且指出了影响季不均衡系数的主要因素。并给出了相应的算法,通过实际应用表明,该算法具有较大的实用价值。 The seasonal unbalance coefficient is one of the important parameters in annual load characteristics. It can make certain the annual load characteristics in a region more accurately by grasping the main factors affecting the seasonal unbalance coefficient, which is helpful for formulating the annual operating plan of power grid. An analysis method of the seasonal unbalance coefficient based on gray correlation is proposed. The weights of each influencing factor of seasonal unbalance coefficient can be quantitatively differentiated combined with the detailed data of historical years, and the results of this analysis shows the main factors affecting the seasonal unbalance coefficient. The corresponding algorithm is given and the practical application shows that the method has great practical value.
出处 《四川电力技术》 2011年第5期84-88,共5页 Sichuan Electric Power Technology
关键词 季不均衡系数 负荷特性 灰色关联度分析 负荷预测 算法 seasonal unbalance coefficient load characteristic gray relational degree analysis load forecasting algorithm
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