考虑需求侧响应的热电联供型微网经济优化运行

热电联供(combined heat and power,CHP)微网是提高可再生能源利用率以及实现能源转型的有效途径之一,具有广阔的应用前景。为保证其经济、灵活、高效运行,需对CHP微网进行合理的系统优化。为此提出考虑热、电负荷需求侧响应CHP微网多目标优化方法,热电负荷需求侧响应模型基于建筑物热力学模型,同时考虑可转移负荷的调度。在此基础上,建立基于热电负荷需求侧响应的多目标混合整数线性规划模型,采用所提复合粒子群算法求解。算例仿真结果表明,应用热、电负荷需求响应可以使供电、供热的灵活性大大提升,并且降低了系统经济运行成本。

Economic Optimization Operation of the Heat and Power Microgrid Considering Demand Side Response

Combined Heat and Power (CHP) microgrid is one of the effective ways to improve the utilization of renewable energy and realize energy transformation. It has broad application prospects. In order to ensure its economic, flexible and efficient operation, reasonable system optimization is required for CHP microgrid.So, a multi-objective optimization method for the thermal and electrical load demand side response CHP microgrid is proposed. The thermoelectric load demand side response model is based on the building thermodynamic model, and the transferable load scheduling is considered. On this basis, a multi-objective mixed integer linear programming model based on demand side response of thermoelectric load is established, which is solved by the proposed composite particle swarm optimization algorithm. The simulation results of the example show that the application of thermal and electrical load demand response can greatly improve the flexibility of power supply and heating, and reduce the economic operation cost of the system.