A. Pedrosa, N. Moraes, Jorge Laureano Moya Rodríguez, Henrique Reis do Nascimento, Silas Farias Fernandes Filho
{"title":"Application of the MATLAB Computational Tool for the Problem of the Economic Dispatch of Electric Power using Genetic Algorithm. Case study","authors":"A. Pedrosa, N. Moraes, Jorge Laureano Moya Rodríguez, Henrique Reis do Nascimento, Silas Farias Fernandes Filho","doi":"10.5935/2447-0228.20170048","DOIUrl":null,"url":null,"abstract":"Copyright ©2016 by authors and Institute of Technology Galileo of Amazon (ITEGAM). This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/lic enses/b y/4.0 / ABSTRACT Nowadays, the Brazilian electric sector still has a vast complication in the generation of energy, It has been impacted by some changes that strongly influence this distribution in the energy sector. The economic load dispatch (ELD) comes to assist and supply the demand of the sector in front of some factors that directly interfere in the decentralization of this generation, in the independent production of the concessionaires and in the intensive use of alternative energy sources. The objective of the economic load dispatch (ELD) is to decide the power generated by each one of the motors of a thermal plant ensuring that the total cost of the fuel is minimum. At the same time is necessary to guarantee that the total demand and losses at any instant must be equal to the total generation or power supplied by the plant. This paper presents a mathematical model and its solution using the MATLAB optimization toolbox, specifically the genetic algorithms, to solve the ELD problem. In addition, a case study is presented for 10 generating units considering the power losses and the restrictions of the generators, and turning off the less efficient generators .","PeriodicalId":236176,"journal":{"name":"Journal of Engineering and Technology for Industrial Applications","volume":" 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering and Technology for Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5935/2447-0228.20170048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
MATLAB计算工具在遗传算法电力经济调度中的应用案例研究
版权所有©2016作者和亚马逊伽利略技术研究所(ITEGAM)。本作品采用知识共享署名国际许可协议(CC BY 4.0)。http://creativecommons.org/lic enses/b y/4.0 / ABSTRACT如今,巴西电力部门在发电方面仍然存在巨大的复杂性,它受到了一些变化的影响,这些变化强烈地影响了能源部门的这种分布。经济负荷调度(ELD)是为了帮助和满足电力部门的需求而出现的,这些因素直接干扰了发电的分散化、特许经营者的独立生产和替代能源的集约使用。经济负荷调度(ELD)的目标是确定火力发电厂每台电机的发电量,以确保燃料的总成本最小。同时有必要保证在任何时刻的总需求和总损耗必须等于发电厂的总发电量或总供电量。本文提出了利用MATLAB优化工具箱,特别是遗传算法求解ELD问题的数学模型及其求解方法。此外,还以10台发电机组为例,考虑了机组的功率损耗和发电机组的限制,并关闭了效率较低的发电机组。
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