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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (8): 360-365.DOI: 10.19912/j.0254-0096.tynxb.2021-0004

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可再生能源消纳措施的量化评估方法研究

李原1, 徐国强2, 王松2, 万玉良1, 陈颖1, 石永富1   

  1. 1.国网内蒙古东部电力有限公司电力调度控制中心,呼和浩特 010010;
    2.山东大学机电与信息工程学院,威海 264209
  • 收稿日期:2021-01-04 出版日期:2022-08-28 发布日期:2023-02-28
  • 通讯作者: 王 松(1967—),男,博士、教授、硕士生导师,主要从事电力电子与电机驱动方面研究。wszbs3@sdu.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(61971268); 国家电网公司科技项目(52660118001D)

RESEARCH ON QUANTITATIVE ASSESSMENT METHOD OF RENEWABLE ENERGY ACCOMMODATION MEASURES

Li Yuan1, Xu Guoqiang2, Wang Song2, Wan Yuliang1, Chen Ying1, Shi Yongfu1   

  1. 1. State Grid Inner Mongolia Eastern Electric Power Co., Ltd., Power Dispatching and Control Center, Hohhot 010010, China;
    2. School of Mechatronics and Information Engineering, Shandong University, Weihai 264209, China
  • Received:2021-01-04 Online:2022-08-28 Published:2023-02-28

摘要: 该文提出一种基于时序仿真的可再生能源消纳措施的量化评估方法。首先分析可再生能源消纳的原理及影响因素,基于时序生产模拟法建立计及外送功率与电化学储能的可再生能源消纳评估模型,并提出分时段优化求解模型的算法;然后基于评估模型提出促进可再生能源消纳措施的量化评估方法,并针对量化评估结果提出各项可再生能源消纳措施的贡献度计算方法;最后,基于中国东北某省级电网进行算例分析,验证该文所提方法的合理性和有效性,为电网制定可再生能源消纳措施提供理论依据。

关键词: 可再生能源, 措施, 时序分析, 量化评估, 贡献度

Abstract: This paper proposes a quantitative assessment method for renewable energy accommodation measures based on time-series simulations. Firstly, by analyzing principle and influencing factors of renewable energy accommodation, we establish a renewable energy accommodation assessment model that takes into account the delivered power and electrochemical energy storage using the time-series production simulation method. Then a segmented optimization algorithm is developed to solve this model. Further, based on the model we present a quantitative assessment method for enhancing the accommodation capacity of renewable energy. Moreover, a method for evaluating the contribution of each measure is obtained according to these quantitative assessment results. Finally, a calculation example based on a provincial power grid in Northeast China is presented to verify the rationality and effectiveness of the proposed method, which provides a theoretical basis for formulating renewable energy accommodation measures.

Key words: renewable energy, accommodation, time series analysis, quantitative assessment, contribution degree

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