摘要
针对风电和光伏出力的随机性,提出一种日前优化和日内优化相结合的风光火调度模型。该模型以不同时段风电、光电出力和负荷的预测值作为日前优化调度的基础,运用混合整数线性规划对各机组出力进行优化配置,找到满足约束条件的最优出力,并将该出力作为日内调度的计划值。日内优化调度通过模型预测控制建立日内滚动优化模型,实现对风电和光电出力实时控制,达到风电出力和光电出力跟踪计划值。火电作为备用电源,满足供电对负荷的功率平衡要求。仿真结果表明,双层优化下的调度-控制模型,在满足经济调度的同时,也能有效平抑可再生能源的出力波动,为含可再生能源的优化调度提供一种策略。
Considering the economy and reliability of dispatching and the randomness of wind power and photovoltaic power output,this paper proposes a wind-solar-thermal power dispatching model combining day-ahead optimization and day optimization.Based on the forecast values of wind power output,photovoltaic output,and load in different periods,the model uses Mixed Integer Linear Programming algorithm to optimize the output of each unit to find the optimal output that meets the constraint conditions and takes the output as the planned value of daily dispatch.The model predictive control is used to establish the intraday rolling optimization model to realize the real-time control of wind power and photovoltaic output,to achieve the tracking plan value of wind power output and photoelectric output.Thermal power as a backup power supply can meet the power balance requirements of the power supply to the load.The simulation results show that the real-time wind-solar-thermal joint scheduling model can not only meet the economic dispatch but also effectively suppress the output fluctuation of renewable energy,which provides a strategy for the optimal scheduling with renewable energy.
作者
江勇
王绍帅
JIANG Yong;WANG Shao-shuai(Liaogang Holdings(Yingkou)Co.,Ltd Water and Electricity Branch,Yingkou 115007,China)
出处
《电气开关》
2025年第1期15-18,共4页
Electric Switchgear
关键词
风光火
出力波动
日前优化
日内优化
模型预测控制
wind-solar-thermal power
output fluctuation
day-ahead dispatching
day scheduling
model predictive control
