Research and implementation of key technologies of intelligent control system for multi⁃dimension power outage plan
CSTR:
Author:
Affiliation:

(1. State Grid Hunan Electric Power Co., Ltd., Changsha 410000, China; 2. Beijing TsIntergy Technology Co., Ltd., Beijing 100084, China)

Clc Number:

Fund Project:

This work is supported by Technical Transformation Project of State Grid Hunan Electric Power Co., Ltd.(No.SGHNDK00DWJS1900323)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to overcome the problems of multi-depart-ment coordination, multi-task combination, and repeated power outages in the traditional power outage management and control mode,an overall design scheme for a multi-dimensional power outage plan intelligent management and control system is proposed. Firstly, the concept of multi-dimensional blackout plan data pool is proposed, and the blackout plan management and control rule base is established. Based on this, intelligent optimization of multi-cycle blackout plans is automatically carried out by constructing a plan optimization algorithm model that meets the actual needs, including annual blackout plans intelligent optimization and rolling revision of the monthly power outage plan, and through the closed-loop management of the power outage plan to ensure the rigidity of the power outage plan. On this basis, the basic architecture and functional plan of the multi-dimensional power outage plan intelligent management and control system are proposed, and the design plan is implemented. The calculation example shows that the designed scheme is effective and feasible.

    Reference
    Related
    Cited by
Get Citation

朱军飞,徐 民,周佳陈,刘 锋,孙啸天,兰萱丽.多维停电计划智能管控系统关键技术研究及实现[J].电力需求侧管理英文版,2020,22(4):35-39.

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 28,2020
  • Revised:April 09,2020
  • Adopted:
  • Online: July 28,2020
  • Published:
Article QR Code