中国电力 ›› 2024, Vol. 57 ›› Issue (8): 138-144.DOI: 10.11930/j.issn.1004-9649.202403107

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考虑海量分布式能源接入的配电网分布式无功控制策略

翟苏巍1(), 李银银1(), 杜凡1(), 李文云1(), 潘凯岩2(), 梁峻恺1()   

  1. 1. 中国南方电网云南电力调度控制中心,云南 昆明 650011
    2. 东方电子股份有限公司,山东 烟台 264000
  • 收稿日期:2024-03-28 出版日期:2024-08-28 发布日期:2024-08-24
  • 作者简介:翟苏巍(1991—),男,博士研究生,工程师,从事电力系统建模研究,E-mail:suwei_zhai@163.com
    李银银(1991—),女,硕士研究生,工程师,从事继电保护运行整定研究,E-mail:1548794094@qq.com
    梁峻恺(1993—),男,通信作者,博士,从事调度控制研究,E-mail:liangjunkai1993@outlook.com
  • 基金资助:
    中国南方电网有限责任公司科技项目(056000KC22120001、YNKJXM20222497);国家重点研发计划资助项目(2022YFB2703500);云南省应用基础研究计划资助项目(202401CF070076)。

Distributed Reactive Power Control Strategy of Distribution Network Considering Massive Distributed Energy Access

Suwei ZHAI1(), Yinyin LI1(), Fan DU1(), Wenyun LI1(), Kaiyan PAN2(), Junkai LIANG1()   

  1. 1. Yunnan Power Dispatching Control Center of China Southern Power Grid, Kunming 650011, China
    2. Dongfang Electronics Co., Ltd., Yantai 264000, China
  • Received:2024-03-28 Online:2024-08-28 Published:2024-08-24
  • Supported by:
    This work is supported by the Science and Technology Project of China Southern Power Grid Co., Ltd. (No.056000KC22120001、 YNKJXM20222497), the National Key Research and Development Program of China (No.2022YFB2703500), Yunnan Fundamental Research Projects (No.202401CF070076).

摘要:

针对非常规安全风险对新型电力系统造成的影响,提出了考虑源荷不确定性的新型电力系统双层协同无功控制策略。以配电网网络损耗最小为目标,考虑多种调节设备约束,建立配电网无功优化模型。构建配电网分布式无功优化求解框架,外层采用自适应超松弛惩罚参数交替方向乘子法(alternating direction method of multipliers,ADMM)进行全局更新迭代求解,内层采用列与约束生成算法(column-and-constraint generation,C&CG)对各区域两阶段分布鲁棒无功优化模型求解。所提策略能有效改进分布式无功优化模型求解效率,降低网络损耗,提高新型电力系统的稳定性。

关键词: 新型电力系统, 无功优化, 分布鲁棒优化

Abstract:

In view of the influence of unconventional safety risks on new power systems, a two-layer cooperative reactive power control strategy considering the uncertainty of source load was proposed. The reactive power optimization model of distribution network was established with the aim of minimizing the loss of distribution network and considering various regulation equipment constraints. The distribution network distributed reactive power optimization solution framework was constructed. The outer layer adopted the adaptive overrelaxation penalty parameter alternating direction method of multipliers (ADMM) for global update iterative solution. In the inner layer, the column-and-constraint generation (C&CG) algorithm was used to solve the two-stage distributionally robust reactive power optimization model for each region. The proposed strategy can effectively improve the solving efficiency of distributed reactive power optimization model, reduce network losses, and improve the stability of the new power system.

Key words: new power system, reactive power optimization, distributionally robust optimization

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