Denis, E. W. Sinuraya, S. Handoko, Yosua Alvin Adi Soetrisno, Moh Samudro
{"title":"基于粒子群优化(PSO)方法的中爪哇省电厂CO2排放经济调度与绩效优化经济调度的相关性与比较","authors":"Denis, E. W. Sinuraya, S. Handoko, Yosua Alvin Adi Soetrisno, Moh Samudro","doi":"10.1109/ICETAS48360.2019.9117365","DOIUrl":null,"url":null,"abstract":"Power Plants use the process of changing energy to produce electricity. The most substantial electricity generation costs are derived from fuel costs. Among the existing power plants, steam power plants with coal fuel are power plants that supply the most significant electrical energy needs because this type of power plant is very economical and capable of producing high capacity electricity. Behind all that, this steam power plant is a power plant with very high emission factors when compared to other power plants so that it will have an impact on the environment. Therefore, it is necessary to limit the operation of Steam Power Plants by optimising economic deliveries and emissions to get the scheduling of plants with the smallest emission values with minimum operating costs. The simulation results are identical to the Lagrange multiplier method. At each expenditure, there will be a decrease in the value of emissions in the results of the optimisation of Economic and Emissions Dispatch when compared to emissions in the optimisation of Economic Dispatch.","PeriodicalId":293979,"journal":{"name":"2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correlation and Comparison between Economic Dispatch with CO2 Emissions and Economic Emission Dispatch as Performance Optimization of Power Plants in Central Java Province with Particle Swarm Optimization (PSO) Methods\",\"authors\":\"Denis, E. W. Sinuraya, S. Handoko, Yosua Alvin Adi Soetrisno, Moh Samudro\",\"doi\":\"10.1109/ICETAS48360.2019.9117365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power Plants use the process of changing energy to produce electricity. The most substantial electricity generation costs are derived from fuel costs. Among the existing power plants, steam power plants with coal fuel are power plants that supply the most significant electrical energy needs because this type of power plant is very economical and capable of producing high capacity electricity. Behind all that, this steam power plant is a power plant with very high emission factors when compared to other power plants so that it will have an impact on the environment. Therefore, it is necessary to limit the operation of Steam Power Plants by optimising economic deliveries and emissions to get the scheduling of plants with the smallest emission values with minimum operating costs. The simulation results are identical to the Lagrange multiplier method. At each expenditure, there will be a decrease in the value of emissions in the results of the optimisation of Economic and Emissions Dispatch when compared to emissions in the optimisation of Economic Dispatch.\",\"PeriodicalId\":293979,\"journal\":{\"name\":\"2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETAS48360.2019.9117365\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETAS48360.2019.9117365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Correlation and Comparison between Economic Dispatch with CO2 Emissions and Economic Emission Dispatch as Performance Optimization of Power Plants in Central Java Province with Particle Swarm Optimization (PSO) Methods
Power Plants use the process of changing energy to produce electricity. The most substantial electricity generation costs are derived from fuel costs. Among the existing power plants, steam power plants with coal fuel are power plants that supply the most significant electrical energy needs because this type of power plant is very economical and capable of producing high capacity electricity. Behind all that, this steam power plant is a power plant with very high emission factors when compared to other power plants so that it will have an impact on the environment. Therefore, it is necessary to limit the operation of Steam Power Plants by optimising economic deliveries and emissions to get the scheduling of plants with the smallest emission values with minimum operating costs. The simulation results are identical to the Lagrange multiplier method. At each expenditure, there will be a decrease in the value of emissions in the results of the optimisation of Economic and Emissions Dispatch when compared to emissions in the optimisation of Economic Dispatch.