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基于需求侧综合响应的热电联供型微网运行优化 被引量:16

Optimal operation of combined heat and power micro-grid based on integrated demand response
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摘要 热电联供型微网具有能源利用率高、灵活可靠的特点,成为实现能源生产和消费转型、解决环境问题的重要手段。热电联供型微网热、电紧密耦合,给其运行的灵活性和经济性带来了不利影响,为此提出基于需求侧综合响应的热电联供型微网运行优化方法。需求侧综合响应包含热负荷响应和电负荷响应,可为热电联供型微网的热、电生产提供优化空间。热负荷响应建模根据建筑物热工模型,建立供暖功率与室内温度的关系方程。电负荷响应考虑可转移负荷。在此基础上建立热电联供型微网运行优化混合整数线性规划模型,采用CPLEX软件进行求解。算例分析结果表明,需求侧综合响应的应用提高了热电联供型微网热、电生产的灵活性,同时给系统运行带来了可观的经济效益。 Combined heat and power(CHP)microgrid has the characteristics of high energy utilization rate,flexible operation,and reliable energy supply mode,which makes it an important means to realize the transformation of energy production and consumption.The coupling relation of heat and electricity in the CHP microgrid brings adverse effects to the flexibility and economy of the system operation.Therefore,this paper proposes a method for the operation optimization for the CHP micro-grid based on the integrated demand response(IDR).The IDR includes the thermal load response and the electrical load response,which provides extra optimization space for the thermal and electrical production of the CHP micro-grid.The thermal load response is based on the thermal model of the buildings,and the equation between the heating power and the indoor temperature is established.The electrical load response includes the transferable load.Based on the IDR,a mixed integer linear programming(MILP)model is established to optimize the operation of the CHP micro-grid,which is then solved by the CPLEX software.The analysis results of the case study shows that the application of the IDR enhances the flexibility of the heat and power production of the CHP micro-grid,and brings considerable economic benefits to the system operation.
作者 何蕾 He Lei(NARI Beijing Kedong Electric Power Control System Co.,Ltd.,Beijing 100085,China)
出处 《电测与仪表》 北大核心 2018年第7期47-52,61,共7页 Electrical Measurement & Instrumentation
关键词 热电联供型微网 需求侧综合响应 建筑物热力学模型 运行优化 混合整数线性规划 combined heat and power micro-grid integrated demand response dynamic model of buildings operation optimization MILP
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