吉林大学学报(信息科学版) ›› 2016, Vol. 34 ›› Issue (3): 434-440.

• 论文 • 上一篇    下一篇

基于遗传算法的微电网DSM 优化模型

姚建红, 王天娇, 梁冬原, 康耀文, 唐龙庆   

  1. 东北石油大学电气信息工程学院, 黑龙江大庆163318
  • 收稿日期:2015-06-18 出版日期:2016-05-25 发布日期:2016-12-21
  • 作者简介:姚建红(1971—), 女, 河南柘城人, 东北石油大学教授, 硕士生导师, 主要从事电力电子技术及其应用研究, (Tel)86- 13946942782(E-mail)yjhljc@163. com。
  • 基金资助:

    黑龙江省教育厅科技攻关基金资助项目(12531062)

Optimization of Micro-Grid with DSM Based on Genetic Algorithm

YAO Jianhong, WANG Tianjiao, LIANG Dongyuan, KANG Yaowen, TANG Longqing   

  1. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China
  • Received:2015-06-18 Online:2016-05-25 Published:2016-12-21

摘要:

为降低微电网发电侧运行成本, 同时优化微电网需求侧用户的用电体验, 建立了将需求侧管理(DSM:Demand Side Management)纳入微电网经济优化的模型。该模型包括一个光伏发电装置, 两个柴油发电机和一个蓄电池, 需求侧用户根据动态定价机制作出响应并对负荷进行转移, 以节省电费。将用户感到的不便与负荷转移时间建立联系, 运用遗传算法同时优化发电侧经济性和需求侧用户体验。仿真结果表明, 实施DSM 后,发电成本显著降低, 用户获得了一定的经济效益。

关键词: 微电网, 需求侧管理, 优化运行, 遗传算法

Abstract:

To lower the cost of generation and optimization for electric customers experience, an economic scheduling model for a micro-grid is proposed considering DSM(Demand Side Management) with one solar source, two diesel generators and one battery. Demand-side electric customers respond to the dynamic pricing mechanism and transfer the load to achieve the purpose of saving electricity costs. Connecting the inconvenience caused to the customer with the duration of shifting and using genetic algorithm to minimize inconvenience and electricity costs of customer. The simulation results show that the cost of generation is less with DSM compared to the case without DSM and there is savings for the customer.

Key words: micro-grid(MG), demand side management(DSM), optimal operation, genetic algorithm

中图分类号: 

  • TM727