{"title":"Efficient Approach for Solving Economic Load Dispatch Problems of Hybrid Renewable Energy System Using Particle Swarm Optimization Algorithm","authors":"Nimish Kumar, Rahul Raman","doi":"10.3103/S0146411625700117","DOIUrl":null,"url":null,"abstract":"<p>The incorporation of renewable energy (RE) in the economic load dispatch problems (ELDPs) is not an easy task. This paper presents a reliable approach to solve the ELDPs of the hybrid renewable energy system (HRES) that consists of thermal, wind, and solar photovoltaic (PV) generators. The generation cost of RE is negligible, but the renewable operators demand some charge so-called renewable/maintenance/payback cost to run the plant. Therefore, the linear cost function has been implemented for RE generations (REGs). Two cases have been considered based on the cost of REGs, one is no cost for REGs and other is linear cost functions for REGs. The popular optimization technique known as particle swarm optimization (PSO) has been adopted to solve the ELDPs. A test system made of IEEE 30-bus system, solar PV, and wind generator has been considered to investigate the strength of the proposed approach. The simulation results show that the saving of 63.829, 74.99, and 182.937 $/h in one case and the saving of 139.53, 150.468, and 358.883 $/h in another case in the generation cost for a load demand of 283.4 MW are remarkable, when only solar PV, only wind and both solar PV and wind respectively, are in operation.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 2","pages":"127 - 137"},"PeriodicalIF":0.5000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411625700117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The incorporation of renewable energy (RE) in the economic load dispatch problems (ELDPs) is not an easy task. This paper presents a reliable approach to solve the ELDPs of the hybrid renewable energy system (HRES) that consists of thermal, wind, and solar photovoltaic (PV) generators. The generation cost of RE is negligible, but the renewable operators demand some charge so-called renewable/maintenance/payback cost to run the plant. Therefore, the linear cost function has been implemented for RE generations (REGs). Two cases have been considered based on the cost of REGs, one is no cost for REGs and other is linear cost functions for REGs. The popular optimization technique known as particle swarm optimization (PSO) has been adopted to solve the ELDPs. A test system made of IEEE 30-bus system, solar PV, and wind generator has been considered to investigate the strength of the proposed approach. The simulation results show that the saving of 63.829, 74.99, and 182.937 $/h in one case and the saving of 139.53, 150.468, and 358.883 $/h in another case in the generation cost for a load demand of 283.4 MW are remarkable, when only solar PV, only wind and both solar PV and wind respectively, are in operation.
期刊介绍：
Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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