| 引用本文: | 齐晓光,姚福星,朱天曈,张倩茅,张菁,王颖,苗世洪.考虑大规模风电接入的电力系统混合储能容量优化配置[J].电力自动化设备,2021,41(10): |
| QI Xiaoguang,YAO Fuxing,ZHU Tiantong,ZHANG Qianmao,ZHANG Jing,WANG Ying,MIAO Shihong.Capacity optimization configuration of hybrid energy storage in power system considering large-scale wind power integration[J].Electric Power Automation Equipment,2021,41(10): |
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| 摘要: |
| 不同储能技术在响应特性、经济成本、容量规模等方面各具特色，适用于不同的应用场景。由2种或多种储能装置耦合形成的混合储能系统往往能够综合各方技术经济特性，显现出更加优异的性能。针对现有电网受可再生能源出力波动性的影响日益严重、促进消纳存在技术瓶颈、调峰压力大等问题，提出了一种由全钒液流电池和先进绝热压缩空气储能组成的混合储能系统，建立了考虑大规模风电接入的系统容量优化配置模型。首先，分析了风电出力的频谱特性，提出了一种基于经验模态分解的风电功率分配策略；然后，基于该策略，构建了混合储能系统的双层容量优化配置模型，上层以规划期内总经济投入最小为目标决策混合储能系统的配置容量，下层以系统运行成本最低为目标决策其日前发电计划；最后，基于某实际电网典型日的风电及负荷数据对所提模型进行了仿真分析与验证。算例结果表明：所提混合储能系统的容量优化配置模型不仅可以满足电网的多性能需求，还能有效提升系统的经济性。 |
| 关键词: 大规模风电接入 混合储能系统 容量配置 全钒液流电池 先进绝热压缩空气储能 |
| DOI：10.16081/j.epae.202107032 |
| 分类号:TM732;TM614 |
| 基金项目:国网河北省电力有限公司科技项目 (SGHEJY00GHJS2000023) |
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| Capacity optimization configuration of hybrid energy storage in power system considering large-scale wind power integration |
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QI Xiaoguang1, YAO Fuxing2, ZHU Tiantong1, ZHANG Qianmao1, ZHANG Jing1, WANG Ying1, MIAO Shihong2
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1.Economic Research Institute of State Grid Hebei Electric Power Company, Shijiazhuang 050000, China;2.Hubei Electric Power Security and High Efficiency Key Laboratory, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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| Abstract: |
| Different energy storage technologies have their own characteristics in terms of response properties, economic costs, capacity scale, and so on, and are suitable for different application scenarios. The hybrid energy storage system, which is formed by two or more energy storage devices, can often integrate the technical and economic characteristics of all parties and show more excellent performance. Aiming at the problems of the existing power grid being increasingly affected by the output fluctuations of renewable energy, the technical bottleneck in promoting the consumption, and the high pressure of peak shaving, a hybrid energy storage system composed of VRB(Vanadium Redox flow Battery) and AA-CAES(Advanced Adiabatic Compressed Air Energy Storage) is proposed, and a capacity optimization configuration model considering large-scale wind power integration is established. Firstly, the spectrum characteristics of wind power output are analyzed, and a wind power distribution strategy based on empirical mode decomposition is proposed. Then, based on this strategy, a bi-level capacity optimization configuration model of hybrid energy storage system is constructed. The upper layer decides the configuration capacity of hybrid energy storage system with the goal of minimizing the total economic input in the planning period, while the lower layer decides its day-ahead generation plan with the goal of minimizing the system operation cost. Finally, the proposed model is simulated and verified based on the typical daily wind power and load data of an actual power grid. The results show that the proposed capacity optimization configuration model of hybrid energy storage system can not only meet the multiple performance requirements of power grid, but also effectively improve the economy of the system. |
| Key words: large-scale wind power integration hybrid energy storage system capacity configuration vanadium redox flow battery advanced adiabatic compressed air energy storage |
