基于Matlab的分时电价下企业用电负荷优化调度

Optimization of Enterprise Load Under Time-of-use(TOU) Power Price Based on Matlab

针对企业用电负荷优化调度算法计算量大、模型精度不高等问题,该文在建立分时电价下企业用电负荷优化调度模型的基础上,利用Matlab平台的模式搜索法、单纯形法和遗传算法进行了线性规划问题的求解,并对比了3种方法的优劣性。以天津市某企业的用电数据为例,验证了用电负荷优化调度模型的正确性和Matlab求解线性规划算法的优越性。从而将线性规划应用于辅助高耗能企业优化分配资源方面,降低了用电成本,具有较强的实用性。

Aiming at problems of present algorithms for power load optimization of enterprises,such as complicated calculation and poor accuracy,an optimization model of enterprise load under TOU power price was established. And on this basis,three methods - pattern search method,simplex method and genetic algorithm （GA）-were adopted for its solution,with respective superiority and inferiority being compared. In the case of an enterprise in Tianjin,for instance,the electricity consumption data has demonstrated the validity of the optimization scheduling model and the superiority of Matlab in finding solutions as well. In short,linear programming theory was applied to help energy-intensive enterprises optimize the allocation of resources to save energy and reduce costs,which has strong practical value.