{"title":"Solving a comprehensive combined heat and power economic dispatch model by enhanced crow search algorithm","authors":"Farid Mohammadi, Hamdi Abdi","doi":"10.1016/j.compeleceng.2025.110059","DOIUrl":null,"url":null,"abstract":"<div><div>One of the most important problems in power system operation is combined heat and power economic dispatch (CHPED). In CHPED, the electrical power and heat demand values are divided between the generating units so that the total operating cost is minimized while satisfying a number of operation constraints. On the other hand, demand response programs (DRPs) have the ability to increase the reliability, and de-peaking electricity consumption. Also, there are some uncertain parameters in the power system that should be considered for a more realistic analysis. With the aim of a comprehensive study, in this paper, for the first time, a new CHPED model with the load behaviors consideration in the presence of some of the real uncertainties is introduced. Also, a new enhanced crow search algorithm (ECSA) is used to solve the basic CHPED, and the introduced CHPED model. The results of solving basic CHPED for the well-known 24- and 48-unit systems are presented and compared with the literature. Also, the new CHPED is solved by the proposed ECSA for a new 32-unit system for a one hour and for 24-hour time periods. The results indicate the appropriate ability of ECSA to solve the problem under study.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110059"},"PeriodicalIF":4.0000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625000023","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
One of the most important problems in power system operation is combined heat and power economic dispatch (CHPED). In CHPED, the electrical power and heat demand values are divided between the generating units so that the total operating cost is minimized while satisfying a number of operation constraints. On the other hand, demand response programs (DRPs) have the ability to increase the reliability, and de-peaking electricity consumption. Also, there are some uncertain parameters in the power system that should be considered for a more realistic analysis. With the aim of a comprehensive study, in this paper, for the first time, a new CHPED model with the load behaviors consideration in the presence of some of the real uncertainties is introduced. Also, a new enhanced crow search algorithm (ECSA) is used to solve the basic CHPED, and the introduced CHPED model. The results of solving basic CHPED for the well-known 24- and 48-unit systems are presented and compared with the literature. Also, the new CHPED is solved by the proposed ECSA for a new 32-unit system for a one hour and for 24-hour time periods. The results indicate the appropriate ability of ECSA to solve the problem under study.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.