{"title":"A swank raccoon yin yang pair optimization (RYi-YaP) model for solving economic load dispatch (ELD) and combined emission dispatch (CED) problems","authors":"Pitchala Vijaya Kumar, C. Shilaja","doi":"10.1016/j.compeleceng.2025.110149","DOIUrl":null,"url":null,"abstract":"<div><div>Scheduling power generators to decrease costs and meet system restrictions is known as economic load dispatch, or ELD, in power systems. While earlier research works have demonstrated strategies to lower production costs and carbon dioxide emissions, an ideal distribution of costs and pollutants must be taken into account, resulting in Combined Emission Dispatch (CED). The main contribution of this study is the formulation of a new hybrid meta-heuristic model for solving the ELD and CED problem, called the Raccoon Yin Yang Pair Optimization (RYi-YaP) model. To minimize the fuel costs in order to maximize the financial advantages of power systems. Power balance and generator power limit are two restrictions that are focused on in this work in order to efficiently optimize the ELD process. In addition, a thorough analysis is conducted to investigate the performance of the proposed approach under various load conditions. The generators must meet the load requirement with the least amount of gearbox loss in order to guarantee safe operation. This study also considers some of the most popular and widely used optimization procedures for a comprehensive performance comparison and evaluation. The performance of the proposed approach is found to be quite satisfactory when compared to the previously reviewed approaches.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110149"},"PeriodicalIF":4.0000,"publicationDate":"2025-02-21","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/S0045790625000928","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
Scheduling power generators to decrease costs and meet system restrictions is known as economic load dispatch, or ELD, in power systems. While earlier research works have demonstrated strategies to lower production costs and carbon dioxide emissions, an ideal distribution of costs and pollutants must be taken into account, resulting in Combined Emission Dispatch (CED). The main contribution of this study is the formulation of a new hybrid meta-heuristic model for solving the ELD and CED problem, called the Raccoon Yin Yang Pair Optimization (RYi-YaP) model. To minimize the fuel costs in order to maximize the financial advantages of power systems. Power balance and generator power limit are two restrictions that are focused on in this work in order to efficiently optimize the ELD process. In addition, a thorough analysis is conducted to investigate the performance of the proposed approach under various load conditions. The generators must meet the load requirement with the least amount of gearbox loss in order to guarantee safe operation. This study also considers some of the most popular and widely used optimization procedures for a comprehensive performance comparison and evaluation. The performance of the proposed approach is found to be quite satisfactory when compared to the previously reviewed approaches.
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.