Lei Tang, Xifan Wang, Can Dang, Weijun Teng, Shenquan Liu, Pengwei Sun
{"title":"基于资本投资效率的电力电源结构优化","authors":"Lei Tang, Xifan Wang, Can Dang, Weijun Teng, Shenquan Liu, Pengwei Sun","doi":"10.1109/ICIEA.2016.7603840","DOIUrl":null,"url":null,"abstract":"In this paper, a novel electric power source structure optimization (EPSSO) scheme is proposed to achieve the sustainable development objectives of economic growth, electricity demand and environmental protection. Different from power generation expansion planning (PGEP), the proposed EPSSO method evaluates the optimal investment scheme for a long-term power generation expansion from the viewpoints of macro-economy. By adjusting the proportion of renewable power generating units at a more appropriate time, it can promote the efficiency of national capital with the constraint of CO2 emissions. The basic idea of this method is to combine the conventional objective function with the capital efficiency which is often used as a repressor of economic growth. At last, the genetic algorithm (GA) is used to solve the highly nonlinear combinatorial problem of EPSSO and a numerical case is present to demonstrate the feasibility of this scheme based on the background of China.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"19 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The electric power source structure optimization based on capital investment efficiency\",\"authors\":\"Lei Tang, Xifan Wang, Can Dang, Weijun Teng, Shenquan Liu, Pengwei Sun\",\"doi\":\"10.1109/ICIEA.2016.7603840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel electric power source structure optimization (EPSSO) scheme is proposed to achieve the sustainable development objectives of economic growth, electricity demand and environmental protection. Different from power generation expansion planning (PGEP), the proposed EPSSO method evaluates the optimal investment scheme for a long-term power generation expansion from the viewpoints of macro-economy. By adjusting the proportion of renewable power generating units at a more appropriate time, it can promote the efficiency of national capital with the constraint of CO2 emissions. The basic idea of this method is to combine the conventional objective function with the capital efficiency which is often used as a repressor of economic growth. At last, the genetic algorithm (GA) is used to solve the highly nonlinear combinatorial problem of EPSSO and a numerical case is present to demonstrate the feasibility of this scheme based on the background of China.\",\"PeriodicalId\":283114,\"journal\":{\"name\":\"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"19 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2016.7603840\",\"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 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2016.7603840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The electric power source structure optimization based on capital investment efficiency
In this paper, a novel electric power source structure optimization (EPSSO) scheme is proposed to achieve the sustainable development objectives of economic growth, electricity demand and environmental protection. Different from power generation expansion planning (PGEP), the proposed EPSSO method evaluates the optimal investment scheme for a long-term power generation expansion from the viewpoints of macro-economy. By adjusting the proportion of renewable power generating units at a more appropriate time, it can promote the efficiency of national capital with the constraint of CO2 emissions. The basic idea of this method is to combine the conventional objective function with the capital efficiency which is often used as a repressor of economic growth. At last, the genetic algorithm (GA) is used to solve the highly nonlinear combinatorial problem of EPSSO and a numerical case is present to demonstrate the feasibility of this scheme based on the background of China.