摘要
大多数工业企业的用能方式缺乏经济性。首先建立了工业企业的用能运行成本模型,同时构建了考虑工业企业能耗的含风光储微网运行综合优化模型,并基于Matlab 7.0编程实现改进自适应遗传算法。然后以某一微网系统作为研究对象,在5种典型场景下对工业企业购电行为进行优化,得到了企业的最佳购电方案。优化结果表明,合理利用风光储微网系统的工业企业,能够显著降低其运行成本,提高经济性。
Most of the industrial enterprises are lack of economy on the usage of energy. Firstly, the energy running cost model of the industrial enterprises is established, meanwhile, the comprehensive optimization model containing wind-PV-ES hybrid micro-grid and considering industrial energy efficiency and improved adaptive genetic optimization algorithm is programmed based on MATLAB7.0. Then, a wind-PV-ES hybrid micro-grid as a studied object, we optimize the industrial enterprises behavior about purchase power energy in 5 typical scenarios and obtain the best power purchase scheme. The results show that reasonable usage of wind-PV-ES hybrid micro-grid not only improves economy but also reduces operation cost for industrial enterprises.
出处
《电测与仪表》
北大核心
2015年第17期106-109,117,共5页
Electrical Measurement & Instrumentation
基金
四川省科技厅基础研究项目(2013JY0052)
关键词
工业企业
风光储微网
运行成本
自适应遗传算法
industrial enterprises, wind-PV-ES hybrid micro-grid, operation cost, adaptive genetic algorithm
