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.
关键词
移动边界法/分时电价优化/光热电站/分层优化调度
Key words
moving boundary method/optimization of time-of-use electricity price/photothermal power station/hierarchical optimization scheduling
维普
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