中国电力 ›› 2023, Vol. 56 ›› Issue (2): 150-156.DOI: 10.11930/j.issn.1004-9649.202203115

• 新能源 • 上一篇    下一篇

考虑灵活性供需平衡及响应速度的分布式电源集群划分方法

叶畅1, 伊华茂2, 朱炯达3, 赵晶晶3, 吴炼2   

  1. 1. 国网湖北省电力有限公司电力科学研究院,湖北 武汉 430061;
    2. 国网黄冈供电公司,湖北 黄冈 438000;
    3. 上海电力大学 电气工程学院,上海 200090
  • 收稿日期:2022-03-18 修回日期:2023-01-31 发布日期:2023-02-23
  • 作者简介:叶畅(1989—),男,博士,从事新能源接入及运行优化技术,E-mail:yech0131@163.com;朱炯达(1996—),男,通信作者,硕士研究生,从事新能源分布式电源发电技术与运行优化,E-mail:izjd139@outlook.com
  • 基金资助:
    国家电网有限公司科技项目(52153220000U)

A Cluster Partition Method for Distributed Generation Considering Flexibility Supply-Demand Balance and Response Speed

YE Chang1, YI Huamao2, ZHU Jiongda3, ZHAO Jingjing3, WU Lian2   

  1. 1. Electric Power Research Institute of State Grid Hubei Electric Power Co., Ltd., Wuhan 430061, China;
    2. State Grid Huanggang Electric Power Supply Company, Huanggang 438000, China;
    3. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • Received:2022-03-18 Revised:2023-01-31 Published:2023-02-23
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (No.52153220000U).

摘要: 大规模分布式电源(distributed generation,DG)接入电网给电力系统传统集中式调控带来困难。为进一步提升分布式电源集群(distributed generation cluster,DGC)灵活性分布式调控,提出一种考虑DGC供需平衡及响应速度的集群划分方法。首先进行了集群爬坡灵活性分析,提出了功率分配策略以满足调频灵活性需求;接着,提出了DGC供需平衡指标以及响应速度指标,得到了集群划分方法;最后,基于IEEE 33节点算例验证了所提方法的有效性。

关键词: 集群划分, 分布式电源, 爬坡灵活性, 调频灵活性

Abstract: The large-scale connection of distributed generation (DG) to the power grid brings about significant difficulties to the conventional centralized regulation of the power system. In order to improve the regulation flexibility of distributed generation cluster (DGC), a cluster partition method is proposed considering the supply-demand balance and response speed of DGC. Firstly, the cluster climbing flexibility is analyzed and a power allocation strategy is proposed to meet the demand of FM flexibility. Then, the DGC supply and demand balance index and response speed index are proposed, and the cluster partition method is obtained. Finally, an IEEE 33 node example is given to verify the effectiveness of the proposed method.

Key words: cluster partition, distributed generation, climbing flexibility, frequency flexibility