基于广义Benders分解的分布式热电联供机组规划方法

摘要

In the distributed heat and power system,customers need to optimally select the generator composition and the dispatch plan that can reduce the introducing cost and carbon-dioxide emissions.So in the programming stage,they should also consider the heat and power load in the area and the candidate of generator,while considering the operation situation.A subtle mathematical programming model with the target of minimizing the system cost is proposed,with an overview of the initial investment of combined heat and power generator and its combined benefits when in the simulative operation mode.In the planning model,there exist a lot of integer variables and the fact that the model itself is nonlinear.The generalized Benders decomposition method is used for its solution.The results of an example program and simulation analysis show that the proposed method can more accurately calculate the type and number of combined heat and power generators,and the system can yield better economic benefits.%在分布式热电联供系统中，用户需要优化选择机组组合和系统运行方案，这样可以使得生产成本最小，减少二氧化碳的排放。为此，分布式热电联供机组的规划需要综合考虑热负荷、电负荷和可选的机组方案，以及系统未来的运行情况。在综合考虑了热电联供机组的初始投资及其模拟运行时组合效益的基础上，建立了以系统等年值费用最小为目标的精细化数学规划模型。在规划模型中，存在大量的整数变量，同时模型本身是非线性的，应用广义 Benders 分解方法对该模型进行了求解。通过算例的规划与仿真分析，表明所述方法可以更加准确地规划出热电机组的类型及台数，系统能够取得更佳的经济效益。