| 引用本文: | 姚维为,李文浩,张宝允,张振,王丹,毛承雄.基于有限理性的风光-定/变速抽水蓄能联合运行系统两阶段鲁棒优化配置[J].电力自动化设备,2025,45(7):19-27 |
| YAO Weiwei,LI Wenhao,ZHANG Baoyun,ZHANG Zhen,WANG Dan,MAO Chengxiong.Two-stage robust optimization configuration of wind-solar-fixed/variable-speed pumped storage combined operation system based on bounded rationality[J].Electric Power Automation Equipment,2025,45(7):19-27 |
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| 摘要: |
| 针对新型电力系统中抽水蓄能等灵活性资源与风光等新能源之间的资源配置与利益冲突，提出一种多策略集演化博弈模型与基于数据驱动的鲁棒优化模型的耦合规划模型。分析抽水蓄能运营商、风光运营商与需求响应系统之间的利益冲突与传递关系，并提出对定/变速抽水蓄能机组进行协同规划，以最大化抽水蓄能机组的优势；在考虑各运营商有限理性的基础上构建多策略集演化博弈模型，并且耦合基于数据驱动的鲁棒优化模型，以最小化风光不确定性对规划的影响；利用列与约束生成算法求解得到规划结果。结果表明，所提方法兼顾了各主体之间的利益关系，提高了规划方案的可行性与经济性，且所得规划方案更加接近实际。 |
| 关键词: 分布式鲁棒 抽水蓄能 演化博弈 优化规划 新能源 |
| DOI：10.16081/j.epae.202412029 |
| 分类号:TM73 |
| 基金项目:中国长江电力股份有限公司科研项目(Z342302005) |
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| Two-stage robust optimization configuration of wind-solar-fixed/variable-speed pumped storage combined operation system based on bounded rationality |
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YAO Weiwei1, LI Wenhao2, ZHANG Baoyun2, ZHANG Zhen3, WANG Dan2, MAO Chengxiong2
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1.Research Institute of Science and Technology of China Three Gorges Corporation, Beijing 100038, China;2.State Key Laboratory of Advanced Electromagnetic Technology, Huazhong University of Science and Technology, Wuhan 430074, China;3.China Yangtze Power Co.,Ltd.,Yichang 443000, China
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| Abstract: |
| Aiming at the resource configuration and interest conflict between flexible resources such as pumped storage and new energy such as wind and solar in the new power system, a coupling planning model of multi-strategy set evolutionary game model and data-driven based robust optimization model is proposed. The interest conflict and transfer relationship among the pumped storage operators, the wind and solar operators and the demand response system are analyzed, and the collaborative planning of fixed/variable-speed pumped storage units is proposed to maximize the advantages of pumped storage units. A multi-strategy set evolutionary game model is constructed on the basis of considering the bounded rationality of each operator, and a data-driven based robust optimization model is coupled to minimize the impact of wind and solar uncertainty on the planning. The column and constraint generation algorithm is used for solving the planning results. The results show that the proposed method considers the interest relationship among each subject, improves the feasibility and economy of the planning scheme, which is closer to the reality. |
| Key words: distributed robust pumped storage evolutionary game optimal planning new energy |
