电力建设2025，Vol.46Issue(4)：99-112,14.DOI:10.12204/j.issn.1000-7229.2025.04.009
考虑源荷不确定性的园区综合能源系统鲁棒多阶段规划
Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties
摘要
Abstract
[Objective]A robust multi-stage planning model is established for a park-level integrated energy system(PIES)to minimize the total life-cycle present-value cost while considering source-load uncertainties,optimal construction sequencing,and tiered carbon trading to enhance economic efficiency and low-carbon benefits.[Methods]First,a box-type uncertainty set is used to model the source-load uncertainty and uncertainty adjustment parameters are introduced to reduce the conservatism of PIES planning and obtain a two-stage robust optimization(TSRO)model.Both discrete and continuous variables are included in the second-stage decision variables of the TSRO model,facilitating directly solving the second-stage problem using Lagrangian duality theory.Instead,an additional nested layer is required to solve the model.Therefore,this paper employs the nested column-and-constraint generation(NC&CG)algorithm to solve the model.[Results]Simulation results show that the robust programming model can improve the robustness of the system by sacrificing the economic and low-carbon benefits of the system to a certain extent and can flexibly adjust the robustness of the PIES planning scheme by changing the value of the uncertainty parameters.[Conclusions]The proposed multi-stage planning approach accounts for load growth and source-load uncertainties from a long-term system development perspective,thereby improving the flexibility and adaptability of the planning scheme.关键词
园区综合能源系统/源荷不确定性/多阶段规划/嵌套列和约束生成算法Key words
park-level integrated energy system/source-load uncertainties/multi-stage planning/nested column and constraint generation algorithm分类
信息技术与安全科学引用本文复制引用
江训谱,包哲静,于淼,郭创新,郭援越,王溅..考虑源荷不确定性的园区综合能源系统鲁棒多阶段规划[J].电力建设,2025,46(4):99-112,14.基金项目
This work is supported by the Joint Fund of the National Natural Science Foundation of China(No.U22B2098). 国家自然科学基金联合基金重点项目(U22B2098) （No.U22B2098）
