摘要
传统电力需求响应技术通过削减或转移电力负荷对负荷曲线进行优化,但会影响用户用能体验,因而用户参与需求响应的积极性及负荷可控性有限。对于社区综合能源运营商,研究用户综合需求响应,可挖掘其调度潜力。基于消费者心理学研究居民用户替代用能行为,建立用户优化用能模型和社区综合能源运营商优化模型,将运营商作为领导者,用户作为跟随者建立Stackelberg主从博弈模型。用KKT条件代替用户侧优化模型,将博弈模型转化为单层优化模型求解。通过算例仿真验证了充分挖掘利用负荷侧多能互补特性及综合需求响行为,可有效提升可再生能源利用率和综合能源运营商的效益。
The traditional power demand response technology optimizes the load curve by reducing or transferring power load,but this will affect the users’energy consumption experience.Therefore,the users’enthusiasm for participating in demand response and the controllability of load are limited.For community integrated energy operators,the research on the users’integrated demand response can improve the corresponding dispatching potential.The alternative energy consumption behavior of residents is studied based on the consumer psychology,and the optimal energy consumption model of users and the optimization model of community integrated energy operator are established.The operator and users are taken as the leader and follower,respectively,thus establishing a Stackelberg master-slave game model.The users’optimization model is replaced by the Karush-Kuhn-Tucker conditions,and the game model is transformed into a single-layer optimization model.The multi-energy complementary characteristics on the load side and the integrated demand response behavior are verified through the simulation of an example,indicating that the proposed strategy can effectively improve the utilization of renewable energy as well as the benefits of integrated energy operators.
作者
缴傲
胡臻
向萌
周任军
龚罗文
JIAO Ao;HU Zhen;XIANG Meng;ZHOU Renjun;GONG Luowen(Hunan Province Collaborative Innovation Center of Clean Energy and Smart Grid(Changsha University of Science and Technology),Changsha 410004,China;State Grid Hunan Electric Power Company Limited,Changsha 410004,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2021年第9期94-102,共9页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(52077009)
湖南省自然科学基金资助项目(2019JJ40302)
湖南电网新能源消纳能力提升及支撑建议研究资助项目(5216A2200004)
湖南省科技创新平台与人才计划资助项目(2019TP1053)。