| 引用本文: | 王瑞,程杉,徐建宇,左先旺.基于主从博弈和混合需求响应的能量枢纽多时间尺度优化调度策略[J].电力自动化设备,2023,43(1): |
| WANG Rui,CHEN Shan,XU Jianyu,ZUO Xianwang.Multi-time scale optimal scheduling strategy of energy hub based on master-slave game and hybrid demand response[J].Electric Power Automation Equipment,2023,43(1): |
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| 摘要: |
| 针对综合能源系统中多市场主体利益诉求不同以及源、荷不确定性造成的系统波动问题，提出了基于主从博弈和混合需求响应的能源枢纽(EH)多时间尺度优化调度策略。为有效评估多能负荷柔性特性，将建筑热传递模型与生活热水储存模型集成到EH模型中，建立了完善的综合需求响应模型。针对EH内利益诉求多元化的问题，基于Stackelberg博弈理论，构建了EH日前主从博弈优化调度模型。考虑到日前源、荷预测误差对EH优化运行的影响，提出了考虑激励型综合需求响应的EH日内短时间尺度优化策略，形成了日前与日内的闭环反馈优化。仿真结果表明考虑多种综合需求响应策略和主从博弈的EH多时间尺度优化调度策略，不仅可以降低系统运行成本，维护供需双方利益诉求，而且可以提升系统平抑源、荷波动的能力，实现EH经济、稳定运行。 |
| 关键词: 综合能源系统 能源枢纽 多时间尺度 混合需求响应 Stackelberg博弈 不确定性 |
| DOI：10.16081/j.epae.202204055 |
| 分类号:TM73;TK01 |
| 基金项目:国家自然科学基金资助项目(51607105) |
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| Multi-time scale optimal scheduling strategy of energy hub based on master-slave game and hybrid demand response |
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WANG Rui1, CHEN Shan1, XU Jianyu2, ZUO Xianwang1
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1.Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China;2.Zhumadian Power Supply Company, State Grid Henan Electric Power Company, Zhumadian 463000, China
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| Abstract: |
| Aiming at the problems of the different interest demands of multiple market players and the system fluctuation caused by the uncertainty of sources and loads in integrated energy system, a multi-time scale optimal scheduling strategy of energy hub(EH) based on master-slave game and hybrid demand response is proposed. In order to effectively evaluate the flexible characteristic of multi-energy load, the building heat transfer model and domestic hot water storage model are integrated into the EH model, and the perfect integrated demand response model is established. Aiming at problem of diversified interest demands in EH, the day-ahead master-slave game optimal scheduling model of EH is established based on Stackelberg game theory. Considering the influence of day-ahead source and load prediction errors on EH optimal operation, the intra-day short-time scale optimization strategy considering incentive integrated demand response is proposed, and the day-ahead and intra-day closed-loop feedback optimization is formed. Simulative results show that the multi-time scale optimal scheduling strategy of EH considering multiple integrated demand response strategies and master-slave game can not only reduce the system operation cost and maintain the interest demands of both suppliers and users, but also improve the ability of the system to stabilize the fluctuation of source and load, so as to realize the economic and stable operation of EH. |
| Key words: integrated energy system energy hub multi-time scale hybrid demand response Stackelberg game uncertainty |
