Generator Maintenance Scheduling Models for Electrical Power Systems: A Review

Abstract

Interest in Generator Maintenance Scheduling (GMS) has increased due to the advent of demand-related expansion in size for modern power systems. Timely maintenance plays a significant role in minimizing failures and helps in averting cost incurred as a result of production shutdowns. The GMS problem is a complex and nonlinear optimization problem that specifies the schedule for carrying out planned preventive maintenance on power generation units. There is no clear concept to GMS model types and choosing the appropriate maintenance scheduling type. Thus, this paper presented a comprehensive review on GMS models in electrical power systems that covers the maintenance strategies, main elements of GMS models, and optimization methods used in solving GMS models. The list of references comprised related works from the years 2000 until 2020, which were classified into three based on the objectives. A new type of objective function for the GMS models was among the suggestions provided. A numerical example which focuses on a multi-objective GMS model and a proposed multi-objective Pareto ant colony system algorithm are also presented. The results of this review will not only enable researchers to gain a good overview of the existing GMS models for electrical power systems but also provide a source of references in choosing an appropriate maintenance scheduling strategy that is suitable with the type of generating unit and existing operating conditions.

Comparison of Multi-objective Optimization Methods for Generator Maintenance Scheduling

“…The studies of [1, 9-11, 18, 20, 26] consider the approach of Pareto based techniques which has proved its efficiency to get better solutions in optimization of the multi-objective problems. Moreover, all the optimization methods are developed to solve one problem with multiobjectives, except the study in [1], which was developed to solve multi problems with multiobjectives.…”

“…Furthermore, reliability is considered by providing adequate power reserve and the sustainability impacts on a wind farm system. The study in [1] considered optimization method to obtain solution for GMS with the objectives of total operation cost minimization, system's reliability maximization and minimizing the violation in the number of units that send for maintenance outage. Despite all the mentioned studies considered optimization methods to implement multi-objective GMS models and obtained solution for GMS in form of multi-objective.…”

“…Generator maintenance scheduling (GMS) problem is a complex and nonlinear optimization problem that specifies the schedule for carrying out planned preventive maintenance on power generation units [1]. To solve the problem of GMS, there is a need for a model and optimization method.…”

“…Single objective optimization methods aim to obtain solution for the single objective problems [1]. Multiobjective optimization problems aim to uncover the best compromise between conflicting and multiple objectives [12].…”

“…This paper presents a comparison of five multiobjective optimization algorithms for GMS for a multi-objective GMS model described in [1]. The novelty of this paper lies in demonstrating the proposed multi-objective PACS algorithm in obtaining better solution for the multi-objective GMS problem with strategy based on operational hours, compared to other multi-objective optimization methods (i.e., NSGAII, SPEA2, MOSA, and MOPSO).…”