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。
To lower the cost of generation and optimization for electric customers experience, an economicscheduling model for a micro-grid is proposed considering DSM (Demand Side Management ) with one solarsource, two diesel generators and one battery. Demand-side electric customers respond to the dynamic pricingmechanism and transfer the load to achieve the purpose of saving electricity costs. Connecting the inconveniencecaused to the customer with the duration of shifting and using genetic algorithm to minimize inconvenience andelectricity costs of customer. The simulation results show that the cost of generation is less with DSM compared tothe case without DSM and there is savings for the customer.
作者
姚建红
王天娇
梁冬原
康耀文
唐龙庆
YAO Jianhong WANG Tianjiao LIANG Dongyuan KANG Yaowen TANG Longqing(School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China)
出处
《吉林大学学报(信息科学版)》
CAS
2016年第3期434-440,共7页
Journal of Jilin University(Information Science Edition)
基金
黑龙江省教育厅科技攻关基金资助项目(12531062)
关键词
微电网
需求侧管理
优化运行
遗传算法
micro-grid(MG)
demand side management(DSM)
optimal operation
genetic algorithm