摘要
目前,现有研究缺乏对综合能源系统为上级电力系统提供灵活性支持潜力的评估,且未充分考虑综合能源系统内部多元负荷不确定性对上述潜力的影响,提出一种基于保守度自适应优化的综合能源系统鲁棒灵活性评估方法。首先,从上级电力系统视角出发,以综合能源系统的外部电力需求为量化指标,建立综合能源系统灵活性的确定性评估模型;其次,考虑多元负荷的不确定性,改进传统鲁棒优化模型的保守度约束条件,提出保守度参数自适应优化方法,在此基础上对外部电力需求区间上、下界分别建立max-min-max和min-max-min二阶段鲁棒优化模型;再次,利用KKT(Karush-Kuhn-Tucker)条件、McCormick松弛对子问题中存在的双层结构进行对偶和线性化处理,采用列与约束生成(column and constraint generation,C&CG)算法将二阶段鲁棒优化模型分解为主问题与子问题循环求解。最后,结合算例验证了本评估模型和求解方法的有效性。
Considering the existing literature's deficiency in evaluating the potential of flexibility support provided by integrated energy systems for the upper power system and the impact of multivariate load uncertainty within the integrated energy system is not sufficiently considered,a robust flexibility evaluation method for integrated energy systems based on conservatism adaptive optimization is proposed.Firstly,a deterministic flexibility evaluation model of integrated energy system is established from the perspective of the upper power system,using the external power demand of the integrated energy system as quantitative index;secondly,considering the uncertainty of multivariate loads,the conservatism constraint in traditional robust optimization models is improved,and an adaptive optimization method for conservatism parameters is proposed,then the max-min-max and min-max-min two-stage robust optimization models are established for the upper and lower bounds of the external power demand intervals respectively;again,the KKT condition and McCormick relaxation are used to pair and linearize the double-layer structure existing in the subproblem,and the column and constraint generation(C&CG)algorithm is used to decompose the two-stage robust optimization model into main problem and subproblem for iterative solution.Finally,an example is given to verify the effectiveness of the evaluation model and solution method.
作者
赵明欣
丁保迪
吴一恒
刘洪
许彦平
秦晓辉
ZHAO Mingxin;DING Baodi;WU Yiheng;LIU Hong;XU Yanping;QIN Xiaohui(China Electric Power Research Institute,Haidian District,Beijing 100192,China;Key Laboratory of Ministry of Education on Smart Power Grid(Tianjin University),Nankai District,Tianjin 300072,China)
出处
《电网技术》
北大核心
2025年第2期582-592,I0057-I0060,共15页
Power System Technology
基金
国家电网有限公司科技项目(5100-202155466A-0-0-00)。
关键词
综合能源系统
灵活性
鲁棒优化
自适应优化
多元负荷不确定性
integrated energy system
flexibility
robust optimization
adaptive optimization
multivariate load uncertainty
