摘要
针对全可再生能源热电气储耦合供能系统源、荷双侧不确性、多能耦合等问题,文中基于分层递阶理论建立了针对系统复杂的优化调度决策和快速的实时控制问题的分层调控框架及多时间尺度优化调控模型。在日前优化中通过鲁棒算法解决可再生能源出力及负荷预测不确性对系统安全运行的影响,在日内优化中基于模型预测控制原理对日前优化结果进行反馈校正与滚动优化,应对可再生能源出力及负荷随机性波动,从而实现系统的安全经济运行。
Targeting the uncertainty of both supply and load sides and multi-energy coupling problem of the thermal-electricgas-storage coupling energy system of all renewable energy sources,based on the hierarchical theory,this paper builds a hierarchical regulatory framework and multi-time scale optimal regulatory model for the optimal dispatch decision-making and real-time control. The robust optimization is used to address the impact on system security operation caused by the uncertainty of load forecasting in the day ahead optimal model,and then based on the model predictive control principle,the day-ahead optimization results are corrected and optimized in a feedback manner to cope with the random fluctuation of renewable energy output and load,so as to realize the safe and economic operation of the system.
作者
李兵
牛洪海
余帆
LI Bing;NIU Honghai;YU Fan(Nanjing NARI-relays Electric Co.,Ltd.,Nanjing 211102,Jiangsu,China)
出处
《电网与清洁能源》
2020年第7期103-108,共6页
Power System and Clean Energy
基金
国家重点研发计划项目(2018YFB1502904)。
关键词
可再生能源
鲁棒优化
模型预测控制
优化调度
renewable energy
robust optimization
model predicting control
optimal dispatch
