{"title":"径向配电网中基于热电联产的DG多目标选择方法","authors":"P. Kayal, Animesh Sadhukhan, Jayanta K. Chandra","doi":"10.1109/ICICPI.2016.7859693","DOIUrl":null,"url":null,"abstract":"Distributed generation (DG) technology has become very noteworthy in modern power sector to meet the power demand in a sustainable mode. DG based on combined heat and power (CHP) technology offers concurrent generation of both electricity and heat from the same fuel for useful purposes. An encouraging method for optimal allocation of different types of CHP in distribution network via fuel cost reduction, mitigation of emission and maximization of heat generation is presented in this paper. Voltage stability indicator has been utilized to identify the prospective location of CHP units. Non-dominated sorting genetic algorithm II (NSGA-II) has been exploited to evaluate the trade off solutions to determine size of CHP units. Three types of diesel generator (Dg) and two types of microturbine (Mt) are incorporated in the analysis to highlight the effectiveness of the methodology in mixed DG scenario. To verify the efficacy of the proposed approach it has been tested on 33-node and 15-node distribution network. The result for both the systems confirms that the objectives are fulfilled suitably.","PeriodicalId":6501,"journal":{"name":"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)","volume":"86 1","pages":"152-157"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A multi-objective approach for selection of CHP based DG in radial distribution network\",\"authors\":\"P. Kayal, Animesh Sadhukhan, Jayanta K. Chandra\",\"doi\":\"10.1109/ICICPI.2016.7859693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed generation (DG) technology has become very noteworthy in modern power sector to meet the power demand in a sustainable mode. DG based on combined heat and power (CHP) technology offers concurrent generation of both electricity and heat from the same fuel for useful purposes. An encouraging method for optimal allocation of different types of CHP in distribution network via fuel cost reduction, mitigation of emission and maximization of heat generation is presented in this paper. Voltage stability indicator has been utilized to identify the prospective location of CHP units. Non-dominated sorting genetic algorithm II (NSGA-II) has been exploited to evaluate the trade off solutions to determine size of CHP units. Three types of diesel generator (Dg) and two types of microturbine (Mt) are incorporated in the analysis to highlight the effectiveness of the methodology in mixed DG scenario. To verify the efficacy of the proposed approach it has been tested on 33-node and 15-node distribution network. The result for both the systems confirms that the objectives are fulfilled suitably.\",\"PeriodicalId\":6501,\"journal\":{\"name\":\"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)\",\"volume\":\"86 1\",\"pages\":\"152-157\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICPI.2016.7859693\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICPI.2016.7859693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multi-objective approach for selection of CHP based DG in radial distribution network
Distributed generation (DG) technology has become very noteworthy in modern power sector to meet the power demand in a sustainable mode. DG based on combined heat and power (CHP) technology offers concurrent generation of both electricity and heat from the same fuel for useful purposes. An encouraging method for optimal allocation of different types of CHP in distribution network via fuel cost reduction, mitigation of emission and maximization of heat generation is presented in this paper. Voltage stability indicator has been utilized to identify the prospective location of CHP units. Non-dominated sorting genetic algorithm II (NSGA-II) has been exploited to evaluate the trade off solutions to determine size of CHP units. Three types of diesel generator (Dg) and two types of microturbine (Mt) are incorporated in the analysis to highlight the effectiveness of the methodology in mixed DG scenario. To verify the efficacy of the proposed approach it has been tested on 33-node and 15-node distribution network. The result for both the systems confirms that the objectives are fulfilled suitably.