微型电脑应用2026，Vol.42Issue(4)：1-5,5.
基于分布鲁棒优化的综合电力—供热系统能量与储备调度
Energy and Reserve Scheduling of Integrated Electricity-heating System Based on Distributionally Robust Optimization
摘要
Abstract
To address the co-optimization problem of day-ahead energy and reserve in an integrated electricity-heating system considering the flexibility of district heating network,this paper proposes a distributionally robust optimization model.The proposed model uses participation factor vectors to characterize reserve allocation among conventional generators and combined heat and power units,and the system reserve requirement is represented as a function of wind power forecast error.To improve tractability,convex quadratic relaxation is adopted for the pressure-loss constraints of the district heating network,and the fixed-coefficient linearization method is used for the pipeline temperature-drop equations.The original nonlinear scheduling model is thereby reformulated as a solvable second-order cone programming model.Case studies on a six-node integrated elec-tricity-heating system show that,at the 95％reliability level,the proposed model can reduce the out-of-sample constraint viola-tion risk,ensure reliable operation of the integrated electricity-heating system,and avoid real-time rescheduling of the day-ahead heat power plan.关键词
综合电力—供热系统/区域供热网络/分布鲁棒优化/能量与备用调度/凸松弛/二次锥规划Key words
integrated electricity-heating system/district heating network/distributionally robust optimization/energy and re-serve scheduling/convex relaxation/second-order cone programming分类
信息技术与安全科学引用本文复制引用
段波伟,谷波,田航,雷炎,闫林,牟骏..基于分布鲁棒优化的综合电力—供热系统能量与储备调度[J].微型电脑应用,2026,42(4):1-5,5.基金项目
四川省科技计划重点研发项目(2022YFG0123) （2022YFG0123）
