Scholarlink

<p>The traditional methods for over-current relay (OCR) coordination may not be adequate to ensure consistent and dependable operation of microgrids in all operating modes. In the present, optimal time multiplier settings (TMS) for OCRs in a microgrid model have been obtained using teaching–learning based optimization (TLBO) algorithm. As optimal coordination with non-standard characteristics of OCRs for microgrid protection is less investigated in literature, hence OCRs with non-standard characteristics have been used. The main aim is to optimize time of operation of all primary and back-up relays, while simultaneously preserving the selectivity of relay pairs as well as fulfilling all the operating constraints. The International Electrotechnical Commission (IEC) microgrid benchmark system is implemented in DIgSILENTPowerfactory 2018 software. Four operating modes are considered to investigate the effectiveness of TLBO algorithm. The effectiveness of TLBO is analysed in comparison with genetic algorithm (GA) used in standard literature. It is observed that the TLBO algorithm reduces the total operating time of all relays across the four modes considered, while still maintaining the coordination time interval (CTI) between primary and backup relays. Therefore, it is recommended to utilize the TLBO algorithm to determine the optimal TMS settings for a microgrid across its various operating modes.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Application of teaching learning algorithm for coordination of industrial over current relays with non-standard characteristics for microgrid protection

  • 期刊论文

  • 发表日期：

    2025年11月11日

查看全文
  • E Gairola,
  • M S Rawat,
  • P Thakur,
  • R C Bansal

摘要

The traditional methods for over-current relay (OCR) coordination may not be adequate to ensure consistent and dependable operation of microgrids in all operating modes. In the present, optimal time multiplier settings (TMS) for OCRs in a microgrid model have been obtained using teaching–learning based optimization (TLBO) algorithm. As optimal coordination with non-standard characteristics of OCRs for microgrid protection is less investigated in literature, hence OCRs with non-standard characteristics have been used. The main aim is to optimize time of operation of all primary and back-up relays, while simultaneously preserving the selectivity of relay pairs as well as fulfilling all the operating constraints. The International Electrotechnical Commission (IEC) microgrid benchmark system is implemented in DIgSILENTPowerfactory 2018 software. Four operating modes are considered to investigate the effectiveness of TLBO algorithm. The effectiveness of TLBO is analysed in comparison with genetic algorithm (GA) used in standard literature. It is observed that the TLBO algorithm reduces the total operating time of all relays across the four modes considered, while still maintaining the coordination time interval (CTI) between primary and backup relays. Therefore, it is recommended to utilize the TLBO algorithm to determine the optimal TMS settings for a microgrid across its various operating modes.