引用本文:郑扬威,江岳文,张金辉.高比例风电渗透下考虑长短期储能的源-储-输联合规划优化[J].电力自动化设备,2023,43(3):
ZHENG Yangwei,JIANG Yuewen,ZHANG Jinhui.Joint planning optimization of source-storage-transportation considering long-and short-term energy storage under high proportion of wind power penetration[J].Electric Power Automation Equipment,2023,43(3):
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高比例风电渗透下考虑长短期储能的源-储-输联合规划优化
郑扬威1, 江岳文1,2,3, 张金辉4
1.福州大学 电气工程与自动化学院,福建 福州 350108;2.智能配电网装备福建省高校工程研究中心,福建 福州 350108;3.福州大学 综合能源规划与优化运行研究中心,福建 福州 350108;4.国网福建省电力有限公司宁德供电公司,福建 宁德 352000
摘要:
目前,世界各国正处于清洁能源转型发展的关键时刻。未来,随着风电比例的增加,以功率调节为主的储能技术将难以满足高比例风电渗透下长时间尺度的系统需求,亟需统筹优化短时功率和长期能量的双重调节。在源-储-输联合规划模型的基础上,考虑长短期储能的相互配合,提出了以系统综合成本最小化为目标的优化模型。结合负荷数据刻画不同风速变化的极端场景,重点对比分析了不同风荷匹配类型下源-储-输的规划结果。算例结果表明,在新型电力系统的发展过程中,所提联合优化模型能提高电网整体的经济效益,对推动“双碳”目标的实现具有重要的意义。
关键词:  清洁能源转型  高比例风电渗透  源-储-输联合规划  长短期储能  极端场景
DOI:10.16081/j.epae.202205054
分类号:
基金项目:国家自然科学基金资助项目(51707040)
Joint planning optimization of source-storage-transportation considering long-and short-term energy storage under high proportion of wind power penetration
ZHENG Yangwei1, JIANG Yuewen1,2,3, ZHANG Jinhui4
1.College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;2.Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou 350108, China;3.Research Center of Integrated Energy Planning and Optimal Operation, Fuzhou University, Fuzhou 350108, China;4.Ningde Power Supply Company of State Grid Fujian Electric Power Co.,Ltd.,Ningde 352000, China
Abstract:
At present, countries all over the world are at a critical juncture in the transformation and development of clean energy. In the future, with the increase of the proportion of wind power, energy storage technology based on power regulation will be difficult to meet the long-term scale system requirements under the high proportion of wind power penetration, so it is urgent to optimize the dual regulation of short-term power and long-term energy. Based on the joint planning model of source-storage-transportation, considering the cooperation of long-and short-term energy storage, an optimization model is proposed to minimize the system comprehensive cost. Combined with the load data, the extreme scenarios of different wind speed changes are described, and the planning results of source-storage-transportation under different wind-load matching types are mainly compared and analyzed. The example results show that the proposed joint optimization model can improve the overall economic benefits of the power grid in the development process of the new-type power system, which is of great significance to promote the realization of the dual carbon target.
Key words:  clean energy transition  high proportion of wind power penetration  joint planning optimization of source-storage-transportation  long-and short-term energy storage  extreme scenarios

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