含储热热电联产机组经济性与灵活性多目标优化算法研究

随着可再生能源产能的不断增长，电力系统的灵活性已成为频繁高峰调控影响下必须考虑的一个指标。然而，灵活性与经济效益之间往往相互矛盾，多目标优化可作为协调矛盾的一种手段。因此，本文以带熔融盐蓄热的抽凝式热电联产机组为研究对象，以灵活性和经济性为优化目标建立日前调度的优化模型。考虑储热系统的爬坡能力、机组出力和热电耦合等约束条件，采用改进的二代非支配排序遗传算法（NSGA-II）对其进行优化求解。对求解获得的非支配解集合即帕累托（pareto）前沿进行分析，分别强调了灵活性和经济指标的两个典型结果，并对结果进行了比较分析，同时对熔融盐蓄热系统的储、放热特性进行分析。

Research on multi-objective optimization algorithm for economy and flexibility of cogeneration unit with heat storage

With the continuous growth of renewable energy, the flexibility of the power system has become an indicator that must be considered under the influence of frequent peak regulation. However, there is often a contradiction between flexibility and economic benefits, and multi-objective optimization can serve as a means of coordinating these contradictions. Therefore, in this paper, the extraction condensing cogeneration unit with molten salt heat storage is taken as the research object, and the optimization model of day ahead scheduling is established with flexibility and economy as the optimization objectives. Taking into account the climbing ability, unit output, and thermoelectric coupling constraints of the thermal storage system, an improved Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is used to solve it. An analysis was conducted on the non-dominated solution set obtained from the solution, namely the Pareto frontier. Two typical results of flexibility and economic indicators were emphasized and compared, and the heat storage and release characteristics of the molten salt heat storage system was analyzed