摘要
针对光热电站热电联供微电网的优化调度问题,提出考虑需求响应、光热电站和电加热器相互协调配合的分层优化调度模型。在上层模型中,使用移动边界法对负荷曲线进行划分,以可再生能源与负荷之间的差异最小化为目标来求解不同时段电价;下层模型以微网调度成本最小为目标进行调度优化。考虑到仅靠风电和光伏不能满足负荷需求等情况,还需对光热电站和可控电源进行调节调度,建立一个基于混合整数线性规划的经济调度优化模型,该模型包含了光热电站、需求响应和电加热器之间的相互协调调度。通过实际案例分析,验证了所提方法的有效性和合理性。
A hierarchical optimization scheduling model considering the coordination between demand response,the photothermal power stations,and electric heaters is proposed for the optimization scheduling problem of a cogeneration microgrid for a photothermal power station.In the upper-level model,the load curve is divided using the moving boundary method,and electricity prices are solved at different time periods with the goal of minimizing the difference between renewable energy and load.The lower-level model aims to minimize the scheduling cost of the microgrid.Considering the inability of wind and photovoltaic power alone to meet load demands,etc,the model also includes the regulation scheduling of the photothermal power station and controllable power sources.An economic dispatch optimization model based on mixed-integer linear programming is established,incorporating the coordinated scheduling of the photothermal power stations,demand response,and electric heaters.The effectiveness and rationality of the proposed method are verified through a practical case.
作者
左超文
王樊云
陈洁
ZUO Chaowen;WANG Fanyun;CHEN Jie(School of Electrical Engineering,Guizhou University,Guiyang 550025,Guizhou Province,China;Duyun Power Supply Bureau of Guizhou Power Grid Co.,Ltd.,Duyun 558000,Guizhou Province,China)
出处
《分布式能源》
2024年第2期63-73,共11页
Distributed Energy
关键词
移动边界法
分时电价优化
光热电站
分层优化调度
moving boundary method
optimization of time-of-use electricity price
photothermal power station
hierarchical optimization scheduling
