Abstract

This study presents the algorithms for modeling of scheduled repairs of generating equipment when assessing the resource adequacy of electric power systems by the Monte Carlo method that relies on random events. We present an analysis of the algorithms adopted in the available software and computer systems used to assess the resource adequacy and highlight their shortcomings. We propose an algorithm for modeling of scheduled repairs of generating units that does away with the flaws of the algorithms adopted elsewhere. In the final part of the article, we present the findings of numerical experiments that test the performance of the algorithms.

Highlights

  • Assessment of the reliability of electric power systems (EPS) is an integral procedure for solving many problems of control over the operation and development of the EPS

  • If the profile of monthly load peaks is "smooth" and is free of a pronounced dip, within the reliability zones with a small number of generating units, the amount of medium and major repairs will be distributed over several months, which distorts the actual situation in the EPS, according to which each generating unit is under scheduled repairs for a certain number of days of a month

  • One of the procedures is to factor in scheduled repairs of generating units

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Summary

Introduction

Assessment of the reliability of electric power systems (EPS) is an integral procedure for solving many problems of control over the operation and development of the EPS. For most types of the power equipment operated in Russia, this regulation and the rules for taking generating equipment out of service for repairs are presented in [1,2,3]. Since the resource adequacy assessment is carried out for prospective schemes of EPS development, the plans for repairs of generating equipment are oftentimes unknown. Under such circumstances, scheduled repairs of generating equipment are factored in based on custom-built algorithms that simulate real rules for working out repair schedules. This study covers the algorithms for modelling scheduled repairs of generating equipment employed for balance reliability assessment in the available software and computer systems (SCS), identifies their shortcomings, and proposes a new algorithm that improves the process of modelling of scheduled repairs of generating equipment as part of the assessment of resource adequacy of the EPS

Algorithms for modelling of scheduled repairs
Factoring in scheduled repairs of generating units based on statistical data
Factoring in scheduled repairs of generating units into the load profile
Experimental studies of the algorithms under consideration
Conclusion
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