基于新能源消纳的峰谷平时段划分方法  

Division Method for Ordinary Peak-valley Period Based on New Energy Consumption

作　　者：薛晨 任景 崔伟 彭明侨 肖晓明 刘颖 谭玉东 Xue Chen;Ren Jing;Cui Wei;Peng Mingqiao;Xiao Xiaoming;Liu Ying;Tan Yudong(Northwest Branch of State Grid Corporation of China,Xi’an Shaanxi 710048,China;College of Electric and Information Engineering,Changsha University of Technology,Changsha Hunan 410114,China;State Grid Hunan Electric Power Co.Economic Technology Research Institute,Changsha Hunan 410004,China)

机构地区：[1]国家电网公司西北分部,陕西西安710048 [2]长沙理工大学电气与信息工程学院,湖南长沙410114 [3]国网湖南省电力公司经济技术研究院,湖南长沙410004

出　　处：《电气自动化》2021年第5期27-29,共3页Electrical Automation

基　　金：湖南省科学基金青年基金项目《跨空间故障传播的电力信息物理融合系统建模与安全评估》(No.1547)。

摘　　要：针对提升新能源消纳问题,设计了一种峰谷平时段划分方法。首先,建立基于消费者心理学的用户响应模型,得到用户负荷转移率;其次,综合考虑不同时段负荷对峰谷隶属度的贡献程度,以新能源消纳最大化及用户费用最小化为目标,建立基于新能源消纳的峰谷平时段优化模型;最后,通过改进粒子群算法对峰谷隶属度阈值进行优化求解。仿真结果表明,用户响应新的峰谷平时段后,用电费用降低,同时新能源的消纳得到提升。A division method for ordinary peak-valley period was designed to promote new energy consumption. Firstly, a user response model based on consumer psychology was established, and user load transfer ratio was obtained. Secondly, under consideration of the contribution degree of loads in different periods toward peak-valley subjection, an optimization model for ordinary peak-valley period based on new energy consumption was established, aiming at maximal new energy consumption and minimal user cost. Finally, the threshold value optimization of peak-valley subjection was solved by means of particle swarm algorithm. Simulation results showed that with users’ response to the new ordinary peak-valley period, electricity expense was reduced, while new energy consumption was promoted.

关 键 词：消费者心理学 隶属度函数 阈值优化 新能源消纳 峰谷平时段 

分 类 号：TM73[电气工程—电力系统及自动化]