Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Smart Switch Configuration and Reliability Assessment Method for Electrical Collector Systems in Offshore Wind Farms
Author:
Affiliation:

1.Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China;2.Institute for Ocean Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China;3.College of Information and Electrical Engineering, China Agricultural University, Beijing, China

Fund Project:

This work was supported in part by National Natural Science Foundation of China (No. 52007123) and Guangdong Basic and Applied Basic Research Foundation for Offshore Wind (No. 2022A1515240019).

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    Abstract:

    With the rapid expansion of offshore wind farms (OWFs) in remote regions, the study of highly reliable electrical collector systems (ECSs) has become increasingly important. Post-fault network recovery is considered as an effective measure of reliability enhancement. In this paper, we propose a smart switch configuration that facilitates network recovery, making it well-suited for ECSs operating in harsh environments. To accommodate the increased complexity of ECSs, a novel reliability assessment (RA) method considering detailed switch configuration is devised. This method effectively identifies the minimum outage propagation areas and incorporates post-fault network recovery strategies. The optimal normal operating state and network reconfiguration strategies that maximize ECS reliability can be obtained after optimization. Case studies on real-life OWFs validate the effectiveness and superiority of the proposed RA method compared with the traditional sequential Monte-Carlo simulation method. Moreover, numerical tests demonstrate that the proposed switch configuration, in conjunction with proper topology and network recovery, achieves the highest benefits across a wide range of operating conditions.

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History
  • Received:January 16,2024
  • Revised:April 05,2024
  • Adopted:
  • Online: December 20,2024
  • Published: