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考虑灵活性的地区电网新能源消纳能力评估方法
引用本文:谭涛亮,姜云鹏,李震,钱峰,任洲洋,刘俊磊,颜伟. 考虑灵活性的地区电网新能源消纳能力评估方法[J]. 重庆大学学报(自然科学版), 2022, 45(1): 9-17. DOI: 10.11835/j.issn.1000-582X.2020.229
作者姓名:谭涛亮  姜云鹏  李震  钱峰  任洲洋  刘俊磊  颜伟
作者单位:广东电网有限责任公司 阳江供电局,广东 阳江 529500;重庆大学 输配电装备及系统安全与新技术国家重点实验室,重庆 400044;广东电网有限责任公司 电力调度控制中心,广州 510000
基金项目:广东电网有限责任公司科技资助项目(031700KK52180002)。
摘    要:在水电富集的地区,水电站作为一种灵活性电源用于提高电网的新能源消纳能力。提出了一种考虑灵活性的地区电网新能源消纳能力评估方法,该方法能够保证系统安全可靠,同时全额消纳新能源。首先,考虑源荷功率的相关性,采用K均值聚类技术生成典型场景;然后,通过灵活性电源的优化调度,使得系统在正常运行状态下全额消纳新能源,并在故障状态下使负荷削减量的期望值最小;最后,选取中国南方某沿海地区110 kV电网进行算例分析,研究新能源渗透率和最小负荷削减量期望值的关系,进而评估系统的新能源消纳能力,验证文中方法的有效性。

关 键 词:最小负荷削减量  新能源消纳  新能源渗透率  场景生成  电源灵活性
收稿时间:2019-12-04

Assessment method of renewable energy accommodation capacity of regional power grid considering flexibility
TAN Taoliang,JIANG Yunpeng,LI Zhen,QIAN Feng,REN Zhouyang,LIU Junlei,YAN Wei. Assessment method of renewable energy accommodation capacity of regional power grid considering flexibility[J]. Journal of Chongqing University(Natural Science Edition), 2022, 45(1): 9-17. DOI: 10.11835/j.issn.1000-582X.2020.229
Authors:TAN Taoliang  JIANG Yunpeng  LI Zhen  QIAN Feng  REN Zhouyang  LIU Junlei  YAN Wei
Affiliation:Yangjiang Power Supply Bureau of Guangdong Power Grid Corporation, Yangjiang 529500, Guangdong, P. R. China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, P. R. China;Power Dispatching and Control Center, Guangdong Grid Co., Guangzhou 510000, P. R. China
Abstract:In some areas with rich water resources, hydropower station is a flexible power source which can be used to promote the renewable energy accommodation capacity of the power grid. This paper proposes a renewable energy accommodation capacity assessment method of regional power grid considering flexibility which can ensure full accommodation for renewable energy in the premise of safety and reliability. First, representative scenarios are generated using K-means clustering considering the correlation between the power sources and loads. Second, by optimizing the flexible generator dispatching, renewable energy can be fully used under normal operation states, and the expectation of load-shedding is minimized under fault conditions. Finally, with the data of a 110 kV regional power grid in a coastal area of South China, the relationship between renewable energy penetration and expectation of minimum load-shedding is captured, and the renewable energy accommodation capability of the selected network is evaluated by the proposed method, verifying the effectiveness of the method.
Keywords:minimum load-shedding  renewable energy accommodation  renewable energy penetration  scenario generation  generation flexibility
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