摘要
为实现并网型微网优化经济运行,计及用户需求响应和储能系统的有效配合,提出了一种并网型微网优化调度模型。在所构建的优化模型中,除考虑需求响应和储能系统之外,还将分布式发电系统、从电网购电和用户的用电满意度等进行考虑,达到了在保证供电质量的前提下,减少微网操作成本的目的。并选用改进的遗传粒子群算法,对优化调度模型进行求解。最后,通过MATLAB仿真,验证模型及算法的有效性,并对四个方案进行对比分析,结果表明需求响应和储能系统在本文所提出的模型中,能起到有效减少操作成本的作用。
In this paper,effects of demand response(DR)and energy storage system(ESS)on optimal stochastic short-term generation scheduling of grid-connected microgrid(MG)have been investigated.In the process of optimization,besides the DR and ESS,the effects of distributed generation(DG)and purchasing power from upstream grid are also considered.Under the premise of ensuring the quality of power supply,with the combination of user satisfaction,reduction of MG operating costs is achieved effectively.Finally,the improved genetic particle swarm algorithm is utilized to solve the planning problem.Meanwhile,to show the capability of model which includes ESS and DR,four case studies have been studied and the results are compared with each other.
作者
李盛伟
李鹏飞
白星振
葛磊蛟
LI Sheng-wei;LI Peng-fei;BAI Xing-zhen;GE Lei-jiao(State Grid Tianjin Economic Research Institute,Tianjin 300171,China;College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China;School of Electrical and Information Engineering,Tianjin University,Tianjin 300172,China)
出处
《电工电能新技术》
CSCD
北大核心
2018年第9期51-58,共8页
Advanced Technology of Electrical Engineering and Energy
基金
国家电网公司科技项目(SGTYHT/16-JS-198)
关键词
需求响应
用户满意度
光伏发电
储能系统
改进的遗传粒子群算法
demand response
user satisfaction
photovoltaic generation
energy storage system
improved genetic particle swarm algorithm
