摘要
为缓解现有分时电价机制可能造成新的负荷高峰情况,提出了一种从负荷侧考虑的对电网调峰有贡献度的用电激励机制。首先建立各类家庭用电设备负荷模型、蓄电池负荷模型以及电动汽车充放电模型,其次提出从负荷侧间接调整电网峰谷差的激励机制模型,最后以用电成本与用户舒适度为目标函数,采用基于小生境的混沌粒子群优化算法求解多目标Pareto解。仿真结果表明,所提出的激励机制在满足舒适度要求的同时能显著降低用电成本与用电峰谷差,在一定程度上缓解了电网压力并提高其运行稳定性。
In order to alleviate the new load peak situation caused by the existing time-of-use pricing mechanism,a power consumption incentive mechanism which can contribute to the load regulation is proposed.At first,all kinds of household electric equipment load model,load model for the battery electric vehicle charging and discharging model are set up.Secondly the load side of indirect adjustment grid peak valley incentive mechanism model is established.Finally to electricity cost and user comfort as the objective function,based on niche chaotic particle swarm optimization algorithm is used for solving multi-objective Pareto solutions.The simulation results show that the proposed incentive mechanism can meet the comfort requirements,and significantly reduce the cost of electricity consumption and the peak-valley difference of electricity consumption,which can relieve the power grid pressure and improve its operation stability to a certain extent.
作者
刘伟
王俊
龚成生
王飞
LIU Wei;WANG Jun;GONG Chengsheng;WANG Fei(School of Electrical Engineering and Information,Northeast Petroleum University,Daqing 163318,China;Caoxian Power Supply Company,State Grid Shandong Electric Power Company,Caoxian 274400,China)
出处
《吉林大学学报(信息科学版)》
CAS
2021年第5期525-530,共6页
Journal of Jilin University(Information Science Edition)
基金
国家自然科学基金资助项目(61673102)。
关键词
家庭能量管理
激励机制
峰谷差
小生境共享
混沌优化
household energy management
incentive mechanism
the peak valley difference
niche sharing mechanism
chaos optimization