文章基本信息

标题：Generator Maintenance Scheduling using Exchange Market Algorithm
本地全文：下载
作者：Learnmore Moyo ; Nnamdi I. Nwulu ; Uduakobong E. Ekpenyong 等
期刊名称：MethodsX
印刷版ISSN：2215-0161
电子版ISSN：2215-0161
出版年度：2020
卷号：7
页码：1-7
DOI：10.1016/j.mex.2020.100932
语种：English
出版社：Elsevier
摘要：AbstractThe Generator Maintenance Schedule model is formulated mathematically as a highly constrained combinatorial optimization problem and it is obligatory to implement a suitable optimization tool to determine the best feasible maintenance schedule. The maintenance schedule obtained has to meet a number of power system constraints. There is increased research in the development of approximate solution methodologies such as heuristic and meta-heuristic techniques . Unlike mathematical methods, metaheuristics can obtain an optimal solution to a complex problem fast and are not subjected to limitations such as linearity, continuity, differentiability and convexity that are faced by mathematical programs . This work presents the application of Exchange Market Algorithm (EMA) to find an optimal maintenance schedule. The algorithm is customized to achieve the following:•Selecting the initial population within the maintenance window constraint to enable faster convergence.•Adapt the algorithm to give discrete solutions.•Penalty function included for constraint handling.Graphical abstractDisplay Omitted
关键词：Constraint Handling;Metaheuristic algorithm;Generator maintenance;Constraint violation;Maintenance window