摘要
多时间尺度优化调度是消纳不可控分布式能源的一种有效手段,但传统优化调度方法随时间尺度增大会出现较大误差.提出一种基于模型预测控制的交直流配电网多时间尺度优化调度方法,长时间尺度中,以交直流配电网运行成本最低为优化目标,求解长时间尺度出力计划值.短时间尺度中,为了应对不可控分布式能源的不确定性,保证交直流配电网的稳定运行,采用模型预测控制的方法,以长时间尺度出力计划值为基准值,滚动优化求解短时间尺度出力计划值,并对下发的出力计划值进行反馈校正,使得到的出力计划值更加平滑.仿真结果表明该方法具有可行性和有效性.
Multi-time scale optimal dispatch of AC/DC distribution network is an effective strategy to deal with the fluctuation and uncertainty of output of uncontrollable energy resource in AC/DC distribution network,but traditional optimal method is so difficult to precisely predict the output of uncontrollable energy resource with the growth of the time scale.A model predictive control based multi-time scale optimal dispatch of distribution generators in AC/DC distribution network was proposed.In the long time scale,the optimal flow was solved by minimizing the cost of AC/DC distribution network.In the short time scale,the result solved in the long time scale was taken as reference,the model predictive control based short-time scale optimization utilized roll optimization and feedback correction to solve short-time scale optimal flow and smooth the output of distribution generators.The simulation results showed that the proposed method was effective and feasible.
作者
刘洁
吉兴全
王怀路
杨迪
陈德华
LIU Jie;JI Xingquan;WANG Huailu;YANG Di;CHEN Dehua(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China;Jining Power Supply Company,State Grid Shandong Electric Power Company,Jining 272000,China)
出处
《安徽大学学报（自然科学版）》
CAS
北大核心
2020年第1期64-72,共9页
Journal of Anhui University(Natural Science Edition)
基金
国家自然科学基金资助项目(61803233)。
关键词
交直流配电网
模型预测控制
多时间尺度
分布式能源
优化调度
AC/DC distribution network
model predictive control
multi-time scales
distributed energy
optimal dispatch
