中国电力 ›› 2022, Vol. 55 ›› Issue (3): 57-63,73.DOI: 10.11930/j.issn.1004-9649.202102029

• 电网 • 上一篇    下一篇

基于图像匹配的微电网负荷响应分布式电源波动控制方法

陈卫东1, 郭敏1, 吴宁1, 奉斌2   

  1. 1. 广西电网有限责任公司电力科学研究院,广西 南宁 530023;
    2. 广西电网有限责任公司,广西 南宁 530023
  • 收稿日期:2021-02-04 修回日期:2021-05-10 出版日期:2022-03-28 发布日期:2022-03-29
  • 作者简介:陈卫东(1983—),男,通信作者,硕士,高级工程师,从事微电网及电能质量控制技术研究,E-mail:1703219884@qq.com;郭敏(1984—),男,硕士,高级工程师,从事电能质量分析与控制技术研究,E-mail:guo_m.sy@gx.csg.cn;吴宁(1991—),男,硕士,工程师,从事综合能源技术应用研究,E-mail:wu_n.sy@gx.csg.cn;奉斌(1972—),男,高级工程师,从事配电网运行研究,E-mail:hxzxywind@163.com
  • 基金资助:
    广西电网公司科技项目(GXKJXM20190612);国家重点研发计划资助项目(2016 YFB0900101-1)。

The Control Method that Load Respond to Distributed Generation Fluctuation in Microgrid Based on Image Matching

CHEN Weidong1, GUO Min1, WU Ning1, FENG Bin2   

  1. 1. Electric Power Research Institute of Guangxi Power Grid Corporation, Nanning 530023, China;
    2. Guangxi Power Grid Corporation, Nanning 530023, China
  • Received:2021-02-04 Revised:2021-05-10 Online:2022-03-28 Published:2022-03-29
  • Supported by:
    This work is supported by Science and Technology Project of Guangxi Power Grid Company (No.GXKJXM20190612) and National Key Research and Development Program of China (No.2016 YFB0900101-1)

摘要: 为了提升微电网智能化调控性能,针对微电网负荷调控策略制定问题,基于数据驱动思想借助人工智能技术,提出基于图像匹配的微电网负荷响应分布式电源波动控制方法。首先根据分布式电源与可调控负荷多维运行数据,构建下一调控周期微电网源荷综合特性图像;进而提出了基于K均值聚类-加速鲁棒特征(K-SURF)算法的微电网源荷综合特性图像相似性匹配算法,从而达到借鉴历史相似运行状态的微电网调控策略制定下一周期负荷响应分布式电源波动调控策略的目的。某典型微电网算例仿真结果表明,所提出的图像相似性匹配方法能够有效搜寻到最相似历史运行状态,借鉴历史相似运行状态调控策略制定的负荷调控策略能够有效跟踪可再生能源出力波动,提升可再生能源的就地消纳能力。

关键词: 微电网, 源荷综合特性图像, 图像匹配, 分布式电源

Abstract: In order to improve the performance of intelligent regulation and control of microgrid, the load response distributed power fluctuation control method of microgrid based on image matching was proposed based on data-driven idea and artificial intelligence technology in view of the problem of load regulation strategy development of microgrid.Firstly, based on the multi-dimensional operation data of distributed power supply and adjustable load, a comprehensive source and load characteristic image of the microgrid in the next regulation period is constructed. Furthermore, the image similarity matching algorithm based on K-SURF for the comprehensive characteristics of source and charge of microgrid is proposed, so as to draw on the regulation strategy of microgrid with similar operating state in history to formulate the regulation strategy for the next cycle load response of distributed power generation. The simulation results of a typical microgrid example show that the proposed image similarity matching method can effectively search for the most similar historical operating state, and the load control strategy formulated by referring to the historical similar operating state control strategy can effectively track the fluctuation of renewable energy output. Improved the local consumption capacity of renewable energy in the microgrid.

Key words: microgrid, source-load integrated characteristic image, image matching, distributed generation