首页|基于信息熵的供电系统多目标负荷调度方法

基于信息熵的供电系统多目标负荷调度方法

Multi-objective load scheduling method of power supply system based on information entropy

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传统供电系统调度方法无法预测出多个用户的目标负荷,导致供电系统的能耗变高,为此提出一种基于信息熵的供电系统多目标负荷调度方法.通过计算供电系统多目标负荷的信息熵指数,构建供电系统多目标负荷调度的目标函数,在供电系统的有功功率和无功功率约束下,构建供电系统多目标负荷数学模型.根据补偿费用与多目标负荷等级之间的关系,将调度成本、信用度和供电能力3个指标引入到信息熵中,构建供电系统多目标负荷调度模型,实现供电系统的多目标负荷调度.试验结果表明:该方法可以降低供电系统多目标负荷的调度能耗,提高供电系统多目标负荷调度的经济性.
Considering that the traditional power system scheduling method can't predict the target load of multiple users,which leads to the high energy consumption of the power supply system,a multi-objective load scheduling method of the power supply system based on information entropy is proposed.By calculating the information entropy index of the multi-objective load of the power supply system,the objective function of a multi-objective load scheduling of the power supply system is constructed,and the mathematical model of a multi-objective load of the power supply system is constructed under the constraints of active power and reactive power of power supply system.According to the relationship between compensation cost and multi-objective load level,three indicators,such as scheduling cost,credit,and power supply capacity,are introduced into information entropy to construct a multi-objective load scheduling model of power supply system and realize multi-objective load scheduling of power supply system.The experimental results show that this method can reduce the energy consumption of multi-objective load scheduling in the power supply system and improve the economy of multi-objective load scheduling in the power supply system.

information entropypower supply systemschedulingload

李悦、刘涛

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国网河南省周口供电公司,河南周口 466000

信息熵 供电系统 调度 负荷

2024

技术与市场
四川省科技信息研究所

技术与市场

影响因子:0.566
ISSN:1006-8554
年,卷(期):2024.31(12)