| 引用本文: | 冀肖彤,柳丹,江克证,康逸群,陈思源,董天翔.储能型风电场一次调频容量优化与风电功率协调分配[J].电力自动化设备,2023,43(7): |
| JI Xiaotong,LIU Dan,JIANG Kezheng,KANG Yiqun,CHEN Siyuan,DONG Tianxiang.Primary frequency regulation capacity optimization and wind power coordinated allocation of energy storage-based wind farms[J].Electric Power Automation Equipment,2023,43(7): |
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| 摘要: |
| 考虑到风电场与储能多方面的成本，提出了一种基于分层架构的风电与储能协同参与一次调频的容量优化方法及相应的风电功率协调分配方法。在系统规划层，基于多时间尺度模型，分析了全年风电场的运行特性和一次调频备用需求，通过机会约束规划配置储能容量，并通过对单个预测时段调频成本的优化，确定风电备用的最优减载率与储能调频最优出力；在风电场控制层，通过分布式控制将风电场减载需求按比例分配至不同风速的机组，无需集中控制器便实现了功率的协调分配。算例仿真结果表明所提方法能够在提高储能型风电场调频经济性的同时，使全风速工况的风机参与备用功率的协调分配。 |
| 关键词: 风电场 储能 多时间尺度 一次调频 功率备用 机会约束规划 一致性算法 |
| DOI：10.16081/j.epae.202210015 |
| 分类号:TM614;TM73 |
| 基金项目:国家电网有限公司总部科技项目(4000-202122070A-0-0-00) |
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| Primary frequency regulation capacity optimization and wind power coordinated allocation of energy storage-based wind farms |
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JI Xiaotong1,2, LIU Dan3, JIANG Kezheng3, KANG Yiqun3, CHEN Siyuan2, DONG Tianxiang2
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1.State Grid Hubei Electric Power Co.,Ltd.,Wuhan 430077, China;2.State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;3.State Grid Hubei Electric Power Research Institute, Wuhan 430077, China
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| Abstract: |
| Considering the costs of wind farms and energy storages, a hierarchical architecture based capacity optimization method of wind power and energy storage collaborative participation in primary frequency regulation and the corresponding coordinated allocation method of wind power reserve are proposed. In the system planning layer, based on the multi-time scale model, the operation characteristics of wind farm and the reserve demand of primary frequency regulation are analyzed, the energy storage capacity is planned and configured by chance constraints, and the optimal de-loading ratio of wind power reserve and the optimal output of energy storage for frequency regulation are determined by optimizing the frequency regulation cost in a single forecast period. In the wind farm control layer, the de-loading requirements of wind farm are proportionally distributed to wind turbines with different wind speeds through distributed control, and the coordinated power distribution is realized without centralized controller. The simulative results of case study show that the proposed method can not only improve the frequency regulation economy of energy storage-based wind farms, but also make the wind turbines under full wind speed condition participate in the coordinated allocation of reserve power. |
| Key words: wind farms energy storage multi-time scale primary frequency regulation power reserve chance-constrained programming consensus algorithm |
