Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

+Advanced Search
Home > Archive>Volume 10, Issue 4, 2022 >883-893. DOI:10.35833/MPCE.2020.000937
PDF HTML Export
Short-term Transmission Maintenance Scheduling Considering Network Topology Optimization
Author:
Affiliation:

with the State Key Laboratory of Power Transmission Equipment & System Security and New Technology at Chongqing University, Chongqing 400044, China

Fund Project:

This work was supported by the National Key R&D Program of China “Technology and application of wind power/photovoltaic power prediction for promoting renewable energy consumption” (No. 2018YFB0904200) and eponymous Complement S&T Program of State Grid Corporation of China (No. SGLNDKOOKJJS1800266).

  • Article
    • | |
  • Metrics
    • |
  • Reference
    • |
  • Related
    • |
  • Cited by
    • |
    Abstract:

    With the increasing penetration of renewable energy sources, transmission maintenance scheduling (TMS) will have a larger impact on the accommodation of wind power. Meanwhile, the more flexible transmission network topology owing to the network topology optimization (NTO) technique can ensure the secure and economic operation of power systems. This paper proposes a TMS model considering NTO to decrease the wind curtailment without adding control devices. The problem is formulated as a two-stage stochastic mixed-integer programming model. The first stage arranges the maintenance periods of transmission lines. The second stage optimizes the transmission network topology to minimize the maintenance cost and system operation in different wind speed scenarios. The proposed model cannot be solved efficiently with off-the-shelf solvers due to the binary variables in both stages. Therefore, the progressive hedging algorithm is applied. The results on the modified IEEE RTS-79 system show that the proposed method can reduce the negative impact of transmission maintenance on wind accommodation by 65.49%, which proves its effectiveness.

    Reference
    Related
    Cited by
Get Citation

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:October 28,2020
  • Revised:March 14,2021
  • Online: July 15,2022

Address:No.19 Chengxin Avenue, Jiangning District, Nanjing 211106, China

E-mail: mpce@alljournals.cn

Tel:86-25-81093060

Fax:86-25-81093040

Copyright：Journal of Modern Power Systems and Clean Energy ® 2025 All Rights Reserved
Supported by：Beijing E-Tiller Technology Development Co., Ltd.

ICP：ICP备09008660号