计及备用优化的电热灵活性资源协同鲁棒规划  

Collaborative Robust Planning of Electric and Thermal Flexibility Resources Considering Reserve Optimization

作　　者：高雪倩 刘畅 刘文霞 GAO Xueqian;LIU Chang;LIU Wenxia(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China;Chengxi Power Supply Branch of State Grid Tianjin Electric Power Company,Tianjin 300110,China)

机构地区：[1]新能源电力系统全国重点实验室(华北电力大学),北京市102206 [2]国网天津市电力公司城西供电分公司,天津市300110

出　　处：《电力系统自动化》2024年第20期171-181,共11页Automation of Electric Power Systems

摘　　要：在中国的“三北”地区,风资源丰富,系统灵活性资源匮乏,供暖期系统内热电占比高,挤占风电上网空间,给系统安全经济运行带来严峻挑战。为提高风电消纳的经济性,文中提出了一种计及备用优化的电热灵活性资源协同鲁棒规划方法。首先,研究各类资源促进热电解耦调峰运行机理及其协同规划机理。在此基础上,建立了min-max-min三层两阶段轻鲁棒规划模型。主问题以规划目标年增量投资成本、运行成本和备用不足风险成本之和最小为目标,优化各类资源投资方案和日前确定性优化调度;子问题在日前调度结果的基础上,计及风电不确定性,以最恶劣场景下备用不足风险最小为目标在日内对设备进行重新调度,搜寻最恶劣场景并评估备用不足风险。基于列与约束生成算法与强对偶理论,进行主、子问题迭代求解。最后,算例验证了模型有效性,并对模型的鲁棒性和风险进行分析。In the“Three North”regions of China,wind resources are abundant but system flexibility resources are scarce.During the heating period,the proportion of electric output of thermoelectric unit is high,affecting wind power integration and posing severe challenges to the safe and economic operation of the system.To improve the economy of wind power accommodation,a collaborative robust planning method for electric and thermal flexibility resources considering reserve optimization is proposed.First,the peak shaving operation mechanism of promoting thermoelectric decoupling and its collaborative planning mechanism through various resources has been studied.On this basis,a min-max-min three-layer two-stage light robust planning model is established.The main problem aims to minimize the sum of the planned annual incremental investment cost,operation cost,and risk cost of insufficient reserve,optimizes all kinds of resource investment schemes and day-ahead deterministic optimal scheduling.Taking into account the uncertainty of wind power based on day-ahead scheduling results,the sub-problem minimizes the risk of insufficient reserve in the worst scenario,reschedule the equipment within days,searches for the worst scenario,and assesses the risk of insufficient reserve.The main problem and sub-problems are solved iteratively based on the column-and-constraint generation algorithm and the strong duality theory.Finally,the validity of the model is verified by a numerical case,and the robustness and risk of the model are analyzed.

关 键 词：风电 灵活性资源 电热耦合系统 协同规划 不确定性 备用优化 鲁棒优化 

分 类 号：TM73[电气工程—电力系统及自动化]