摘要
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,文中以带熔融盐储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,文中采用改进的二代非支配排序遗传算法(non-dominated sorted genetic algorithm-Ⅱ,NSGA-Ⅱ)对熔融盐储热系统进行优化求解。文中分别以灵活性和经济性2种指标对求解获得的非支配解集合即帕累托(Pareto)前沿进行比较分析,同时对熔融盐储热系统的储、放热特性进行分析。分析结果表明,侧重灵活性时,熔融盐储热须维持较高的储热量,以应对低负荷阶段的供热不足;侧重经济性时,熔融盐储热调节较为频繁,使得机组在较高效率区间运行。
With the sustained growth of renewable energy,the flexibility of the power system has emerged as a critical indicator,influenced by frequent peak regulation.However,a dilemma exists between maximizing flexibility and optimizing economy,and a multi-objective optimization can serve as means of coordinating conflicts.In this study,condensing cogeneration units equipped with a molten salt heat storage system is research object,an optimization model for day-ahead scheduling is established,with flexibility and economy as the primary optimization objectives.To account for various constraint condition such as unit ramp rate,unit output and thermoelectric coupling properties,an enhanced version of the non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)is proposed to efficiently solve the optimization problem of a molten salt heat storage system.Flexibility and economy are used to compare and analyze the non dominated solution set obtained from the Pareto front.At the same time,the heat storage and release characteristics of a molten salt heat storage system are analyzed.The findings reveal that a focus on flexibility necessitates great motten salt heat storage to manage insufficient heating during low-load operations.Conversely,an emphasis on economy leads to frequent adjustments in heat storage to maintain optimal unit performance.
作者
王安
杨绮
王菁
陆军
刘宏文
王培红
WANG An;YANG Qi;WANG Jing;LU Jun;LIU Hongwen;WANG Peihong(Guoneng Changzhou Power Generation Co.,Ltd.,Changzhou 213033,China;School of Energy and Environment,Southeast University,Nanjing 210096,China)
出处
《电力工程技术》
北大核心
2024年第2期248-259,共12页
Electric Power Engineering Technology
基金
国家自然科学基金资助项目(51976032)。
