面向互动用能的社区能源管理分层优化控制方法  

Hierarchical Optimization Control Method of Community Energy Management for Interactive Energy Using

作　　者：蔡伟[1] 尤梦凯 张爱芳[1] 梅矿 张科杰 刘健 CAI Wei;YOU Meng-kai;ZHANG Ai-fang;MEI Kuang;ZHANG Ke-jie;LIU Jian(Wuhan Nari Limited Liability Company,State Grid Electric Power Research Institute,Wuhan 430070,China;State Grid Hubei Electric Power Company Wuhan Power Supply Company,Wuhan 430013,China)

机构地区：[1]国网电力科学研究院武汉南瑞有限责任公司,湖北武汉430070 [2]国网湖北省电力有限公司武汉供电公司,湖北武汉430013

出　　处：《电工电气》2023年第3期8-12,24,共6页Electrotechnics Electric

摘　　要：社区能源管理优化控制可有效优化用户用能结构,缓解新型终端负荷对电网带来的影响。提出了面向互动用能的家庭、社区两级能源管理分层优化控制方法,考虑用户舒适度,建立家庭负荷功率偏差最小的上层优化目标,并考虑电动汽车有序充电和社区储能设备充放电,建立各时段内社区负荷波动均方差最小的下层优化目标。采用基于粒子群优化算法对分层优化控制模型进行求解,通过算例验证了分层优化控制模型的有效性。The optimization control of community energy management can effectively improve users’energy consumption structure,which could mitigate the impact of new terminal load on the power grid.This paper proposes a hierarchical optimization control method of energy management for interactive energy using at home and in the community.It sets an upper optimization objective of minimizing household load power deviation on the account of user comfort,and a lower optimization objective of minimizing communal load fluctuation quadratic mean deviation in every period with the consideration of orderly charge of electric vehicles and charge and discharge of communal energy storage equipments.The Particle Swarm Optimization(PSO)algorithm is used to solve the hierarchical optimization control model,and the effectiveness of this model is verified by the example.

关 键 词：社区能源管理 互动用能 电动汽车 分层优化控制 储能系统 

分 类 号：TK018[动力工程及工程热物理]