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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (4): 204-212.DOI: 10.19912/j.0254-0096.tynxb.2020-0831

• 电化学储能安全性与退役动力电池梯次利用关键技术专题 • 上一篇    下一篇

集群光伏电站一次调频参数经济优化设计方法

孙睿哲1, 高丙团1, 胡正阳1, 陈宁2   

  1. 1.东南大学电气工程学院,南京 210096;
    2.新能源与储能运行控制国家重点实验室(中国电力科学研究院),南京 210003
  • 收稿日期:2020-08-18 出版日期:2022-04-28 发布日期:2022-10-28
  • 通讯作者: 高丙团(1981—),男,博士、教授,主要从事新能源并网、智能配用电技术方面的研究。gaobingtuan@seu.edu.cn
  • 基金资助:
    国家自然科学基金(51741709)

ECONOMIC OPTIMIZATION DESIGN METHOD OF PRIMARY FREQUENCY REGULATION PARAMETERS OF CLUSTER PHOTOVOLTAIC POWER STATIONS

Sun Ruizhe1, Gao Bingtuan1, Hu Zhengyang1, Chen Ning2   

  1. 1. School of Electrical Engineering, Southeast University, Nanjing 210096, China;
    2. State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute), Nanjing 210003, China
  • Received:2020-08-18 Online:2022-04-28 Published:2022-10-28

摘要: 针对集群光伏电站参与电网一次调频,提出一种可实现光伏电站经济性最优的一次调频下垂参数优化设计方法。通过模拟同步发电机一次调频的下垂控制,设计考虑减载率与左右下垂系数3个参数的光伏集群参与一次调频的控制方案。在建立单一光伏电站调频参数优化模型的基础上,通过K均值聚类实现光伏集群规模化一次调频参数的降维优化设计。最后,以5 MW光伏电站群参与一次调频为例进行仿真分析。结果表明,该参数经济优化设计方法能在保证光伏电站调频运行稳定性下极大的提升运行经济性。

关键词: 光伏电站, 频率控制, 优化, K均值聚类, 下垂控制

Abstract: This paper proposes an optimization design method of the primary frequency regulation droop parameters that can realize the optimal economic efficiency of photovoltaic power stations for cluster photovoltaic power stations participating in the primary frequency regulation of the power grid. By simulating the droop control of the primary frequency modulation of the synchronous generator, a control scheme is designed to take into account the three parameters of the load shedding rate and the left and right droop coefficients to participate in the primary frequency modulation. Based on the establishment of a single photovoltaic power plant frequency regulation parameter optimization model, K-means clustering is used to realize the dimension reduction optimization design of the primary frequency regulation parameters of the photovoltaic cluster. Finally, a simulation analysis is carried out by taking a 5 MW photovoltaic power plant group participating in a frequency regulation as an example. The results show that the parameter economic optimization design method can greatly improve the operating economy while ensuring the stability of the photovoltaic power station frequency regulation operation.

Key words: photovoltaic power stations, frequency control, optimization, K-means clustering, droop control

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