中国电力 ›› 2025, Vol. 58 ›› Issue (5): 152-157.DOI: 10.11930/j.issn.1004-9649.202408055

• 新型电网 • 上一篇    下一篇

基于云端优化的智能变电站二次系统快速测试建模与系统设计

计荣荣1(), 王梦芝1, 周国伟1, 刘庆尧1, 李海2, 黄若钒3   

  1. 1. 国网浙江省电力有限公司超高压分公司,浙江 杭州,311121
    2. 武汉凯默电气有限公司,湖北 武汉,430223
    3. 三峡大学电气与新能源学院,湖北 宜昌,443000
  • 收稿日期:2024-08-14 发布日期:2025-05-30 出版日期:2025-05-28
  • 作者简介:
    计荣荣(1985),男,通信作者,硕士,高级工程师,长期从事变电站继电保护与自动化运行管理,E-mail:dashijrr@163.com
  • 基金资助:
    国家电网有限公司管理双创孵化培育基金项目(B711JZ23000B)。

Cloud-based Optimized Intelligent Substation Secondary System Rapid Test Model and System Design

JI Rongrong1(), WANG Mengzhi1, ZHOU Guowei1, LIU Qingyao1, LI Hai2, HUANG Ruofan3   

  1. 1. State Grid Zhejiang Electric Power Co., Ltd., Ultra High Voltage Branch, Hangzhou 311121, China
    2. Wuhan Kemov Electric Co., Ltd., Wuhan 430223, China
    3. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China
  • Received:2024-08-14 Online:2025-05-30 Published:2025-05-28
  • Supported by:
    This work is supported by Manage Double Innovation Incubation and Cultivation Fund Projects of SGCC (No.B711JZ23000B).

摘要:

提出基于云端优化的二次系统设备快速测试方案。利用云端优化能力,提出二次系统设备快速测试架构,并实现从子模块到测试包的降维,进一步考虑施加量换线、软硬压板投退以及终端启停等操作,提出以时间最短为目标的快速测试数学模型,基于改进鲸鱼算法(sorting whale optimization algorithm,SWOA)进行测试顺序优化。通过仿真结果验证了所提方案的高效性与准确性。

关键词: 现场快速测试, 共性提取, 改进鲸鱼算法, 云端优化

Abstract:

A fast testing scheme for secondary system equipment based on cloud-side optimization is proposed. The cloud-side optimization capability is utilized to propose a fast testing architecture secondary system equipment and to achieve the reduction of the dimension from the sub-module to the test package. The operations of switching the applied quantity, throwing and closing the soft and hard plates and starting and stopping the terminal are further considered, and a fast testing mathematical model aiming at the shortest time is proposed. The test sequence is optimized based on the improved whale optimization algorithm (SWOA). The effectiveness and accuracy of the proposed scheme are verified through simulation result.

Key words: rapid on-site testing, commonality extraction, improved whale optimization algorithm, cloud optimization