{"title":"Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation","authors":"Oscar Danilo Montoya Giraldo","doi":"10.17230/INGCIENCIA.13.26.2","DOIUrl":null,"url":null,"abstract":"espanolEn este articulo se presenta una estrategia para modelar y resolver problemas no lineales de optimizacion con estudiantes de pregrado en ingenieria electrica empleando el Sistema de Modelado Algebraico General (GAMS). El problema clasico conocido como despacho economico ha sido seleccionado para mostrar la necesidad de usar herramientas matematicas para resolver problemas de gran tamano relacionados con ingenieria. El despacho economico es un problema clasico de optimizacion en operacion de sistemas termoelectricos, cuya idea principal es encontrar la operacion mas economica para los generadores termicos. Esta operacion esta basada en una curva cuadratica de costos con algunas restricciones operativas, como por ejemplo, balance de potencia y capacidades de generacion. La simulacion numerica es implementada en GAMS usando una version de prueba. Esta investigacion ha sido desarrollada con la ayuda de 36 estudiantes del curso de Regulacion y Operacion de Sistemas Electricos (ROES) del programa de Ingenieria Electrica de la Universidad Tecnologica de Pereira (UTP). EnglishThis paper presents an effectiveness strategy to model and solve nonlinear mathematical optimization problems in electrical engineering using General Algebraic Modeling System (GAMS) for undergraduate students. A classical problem known as economic dispatch has been selected to show the need of using mathematical tools to solve a large scale optimization problem related with engineering. The economic dispatch is a classical optimization problem in operation of thermal electric systems, being the main idea to find an economical operation for thermal generators. This operation is based on a quadratic cost curve with some operating constraints, i.e., power balance and generation capacities. A numerical simulation is implemented using GAMS optimization package in demo version. This research has been developed with the support of 36 students of the course of Regulation and Operation of Electrical Systems (ROES) in the programof Electrical Engineering at Universidad Tecnologica de Pereira (UTP).","PeriodicalId":30405,"journal":{"name":"Ingenieria y Ciencia","volume":"13 1","pages":"39-63"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ingenieria y Ciencia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17230/INGCIENCIA.13.26.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
espanolEn este articulo se presenta una estrategia para modelar y resolver problemas no lineales de optimizacion con estudiantes de pregrado en ingenieria electrica empleando el Sistema de Modelado Algebraico General (GAMS). El problema clasico conocido como despacho economico ha sido seleccionado para mostrar la necesidad de usar herramientas matematicas para resolver problemas de gran tamano relacionados con ingenieria. El despacho economico es un problema clasico de optimizacion en operacion de sistemas termoelectricos, cuya idea principal es encontrar la operacion mas economica para los generadores termicos. Esta operacion esta basada en una curva cuadratica de costos con algunas restricciones operativas, como por ejemplo, balance de potencia y capacidades de generacion. La simulacion numerica es implementada en GAMS usando una version de prueba. Esta investigacion ha sido desarrollada con la ayuda de 36 estudiantes del curso de Regulacion y Operacion de Sistemas Electricos (ROES) del programa de Ingenieria Electrica de la Universidad Tecnologica de Pereira (UTP). EnglishThis paper presents an effectiveness strategy to model and solve nonlinear mathematical optimization problems in electrical engineering using General Algebraic Modeling System (GAMS) for undergraduate students. A classical problem known as economic dispatch has been selected to show the need of using mathematical tools to solve a large scale optimization problem related with engineering. The economic dispatch is a classical optimization problem in operation of thermal electric systems, being the main idea to find an economical operation for thermal generators. This operation is based on a quadratic cost curve with some operating constraints, i.e., power balance and generation capacities. A numerical simulation is implemented using GAMS optimization package in demo version. This research has been developed with the support of 36 students of the course of Regulation and Operation of Electrical Systems (ROES) in the programof Electrical Engineering at Universidad Tecnologica de Pereira (UTP).
本文提出了一种利用通用代数建模系统(GAMS)对电气工程本科生非线性优化问题进行建模和解决的策略。选择被称为经济调度的经典问题是为了表明使用数学工具解决大型工程相关问题的必要性。经济调度是热电系统运行优化的一个经典问题,其主要思想是为热电发电机找到最经济的运行。这种操作基于二次成本曲线,并有一些操作限制,如功率平衡和发电能力。数值模拟在GAMS中使用试用版实现。这项研究是在佩雷拉技术大学(UTP)电气工程项目的36名学生的帮助下进行的。本文提出了一种有效的策略,利用通用代数建模系统(GAMS)为本科生建模和求解电气工程中的非线性数学优化问题。classical problem任命经济dispatch一直selected to show the of using mathematical tools to related with解决A large scale优化工程。= =地理= =根据美国人口普查,这个县的面积为,其中土地面积为,其中土地面积为。这种操作是基于二次成本曲线,有一些运行约束,即功率平衡和发电能力。在意大利模拟is实行using GAMS optimization package演示版本。这项研究是在佩雷拉技术大学(UTP)电气工程课程中电气系统管理和操作(ROES)课程的36名学生的支持下进行的。