计及混合式抽水蓄能改造的清洁微网分布鲁棒容量优化配置  

Distributionally Robust Capacity Optimization for Clean Energy Microgrid Considering Pumped-Storage Retrofitting

作　　者：王海伦 丁一凡 李杨 吴峰[1] 王子昭 Wang Hailun;Ding Yifan;Li Yang;Wu Feng;Wang Zizhao(School of Electrical and Power Engineering,Hohai University,Nanjing,211100,China;Economic Research Institute State Grid Zhejiang Electric Power Company,Hangzhou,310008,China)

机构地区：[1]河海大学电气与动力工程学院,南京211100 [2]国网浙江省电力有限公司经济技术研究院,杭州310008

出　　处：《电工技术学报》2025年第7期2112-2126,共15页Transactions of China Electrotechnical Society

摘　　要：为了解决偏远地区的离网型系统供电可靠性问题,依托现有梯级水电改造混合式抽水蓄能成为一种有效手段,而变速抽水蓄能因其抽水能力可调使得相较于定速抽蓄更具运行灵活性。在此背景下,变速抽水蓄能改造梯级水电联合风光资源组成区域性100%清洁能源离网系统,可以在满足区域供电可靠性的前提下,促进水风光资源的消纳。基于此,构建了基于数据驱动的离网型抽水蓄能改造梯级水电联合配置风光资源的容量优化配置模型。首先,以等年值综合成本最小为目标,考虑水电-风电-光伏发电-抽水蓄能(水-风-光-蓄)系统运行、供电可靠性等约束,构建水-风-光-蓄多能互补的容量优化配置模型;然后,通过McCormick线性化方法,将原始混合整数非线性模型转换为混合整数线性优化模型;最后,考虑负荷、风电、光伏与水电来水量的随机性,综合1-范数和∞-范数构建基于数据驱动的分布鲁棒优化模型,并采用列与约束生成算法进行求解,验证模型的可行性。To address the reliability issues of off-grid power systems in remote areas,retrofitting existing cascade hydropower with pumped storage has been regarded as a novel effective solution.The variable-speed pumped storage,due to its adjustable pumping capacity,is found to be more advantageous compared to fixed-speed systems.Consequently,the formation of a regional 100%clean energy off-grid system through the integration of variable-speed pumped storage with wind and photovoltaic re-sources is enabled.In this context,a data-driven capacity optimization model for off-grid cascaded hydro-wind-photovoltaic complementary system considering pumped-storage retrofitting is developed in this paper.Firstly,with the minimum comprehensive cost on an equivalent year as the objective,the optimal capacity configuration is achieved by considering the operation of the pumped-hydro-wind-photovoltaic system,power supply reliability,and various constraints.Secondly,using the McCormick linearization method,the original mixed-integer nonlinear model is transformed into a mixed-integer linear optimization model.Moreover,to handle uncertainties of load,wind,photo-voltaic,and inflow,a data-driven two-stage distributionally robust optimization configuration model for capacity optimization is presented based on both 1-norm and∞-norm.The column and constraint generation(C&CG)algorithm is used to solve the proposed model.Finally,the feasibility is verified.The following conclusions can be drawn from the simulation analysis:(1)With the scale-up of wind power and photovoltaic units,in order to better accommodate the curtailed electricity generated during system operation,the use of data-driven distributed robust optimization methods compared to traditional stochastic optimization methods can better integrate water,wind,and solar resources,reduce curtailment rates,and lower system operating costs.(2)The capacity optimization configuration model established in this paper has good operational performance in terms of accuracy and solution efficienc

关 键 词：混合式抽蓄改造 水-风-光-蓄 供电可靠性 分布鲁棒 列与约束生成 

分 类 号：TM732[电气工程—电力系统及自动化]