Ke Chen, Hongjie Gu, Jiaqi Wang, Chengxin Zhang, Zhangchi Ying
{"title":"考虑新能源并网的综合能源优化协调规划算法","authors":"Ke Chen, Hongjie Gu, Jiaqi Wang, Chengxin Zhang, Zhangchi Ying","doi":"10.1109/ICID54526.2021.00054","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of large energy consumption caused by premature convergence of comprehensive energy scheduling algorithm, a comprehensive energy optimal coordination planning algorithm considering new energy grid connection is proposed. The power output models of wind power station, photovoltaic power station, cascade hydropower station and thermal power plant are established to determine their power characteristics. Considering the new energy grid connection, construct the joint distribution function, calculate the correlation coefficient between wind power generation and photovoltaic power generation, and establish a comprehensive power generation mode. By setting the objective function and constraints, the comprehensive energy joint control model is constructed, and the optimal coordinated programming algorithm is designed to solve the objective function to meet the load demand of users. The example analysis results show that under the condition of roughly the same solution time, compared with the coordinated planning algorithm based on multi-objective difference and dynamic programming, the algorithm designed in this paper has less energy consumption of thermal power plants and water consumption of cascade hydropower stations, and can realize the optimal operation of the whole power system.","PeriodicalId":266232,"journal":{"name":"2021 2nd International Conference on Intelligent Design (ICID)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comprehensive Energy Optimal Coordinated Planning Algorithm Considering New Energy Grid Connection\",\"authors\":\"Ke Chen, Hongjie Gu, Jiaqi Wang, Chengxin Zhang, Zhangchi Ying\",\"doi\":\"10.1109/ICID54526.2021.00054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the problem of large energy consumption caused by premature convergence of comprehensive energy scheduling algorithm, a comprehensive energy optimal coordination planning algorithm considering new energy grid connection is proposed. The power output models of wind power station, photovoltaic power station, cascade hydropower station and thermal power plant are established to determine their power characteristics. Considering the new energy grid connection, construct the joint distribution function, calculate the correlation coefficient between wind power generation and photovoltaic power generation, and establish a comprehensive power generation mode. By setting the objective function and constraints, the comprehensive energy joint control model is constructed, and the optimal coordinated programming algorithm is designed to solve the objective function to meet the load demand of users. The example analysis results show that under the condition of roughly the same solution time, compared with the coordinated planning algorithm based on multi-objective difference and dynamic programming, the algorithm designed in this paper has less energy consumption of thermal power plants and water consumption of cascade hydropower stations, and can realize the optimal operation of the whole power system.\",\"PeriodicalId\":266232,\"journal\":{\"name\":\"2021 2nd International Conference on Intelligent Design (ICID)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Intelligent Design (ICID)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICID54526.2021.00054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Intelligent Design (ICID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICID54526.2021.00054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comprehensive Energy Optimal Coordinated Planning Algorithm Considering New Energy Grid Connection
In order to solve the problem of large energy consumption caused by premature convergence of comprehensive energy scheduling algorithm, a comprehensive energy optimal coordination planning algorithm considering new energy grid connection is proposed. The power output models of wind power station, photovoltaic power station, cascade hydropower station and thermal power plant are established to determine their power characteristics. Considering the new energy grid connection, construct the joint distribution function, calculate the correlation coefficient between wind power generation and photovoltaic power generation, and establish a comprehensive power generation mode. By setting the objective function and constraints, the comprehensive energy joint control model is constructed, and the optimal coordinated programming algorithm is designed to solve the objective function to meet the load demand of users. The example analysis results show that under the condition of roughly the same solution time, compared with the coordinated planning algorithm based on multi-objective difference and dynamic programming, the algorithm designed in this paper has less energy consumption of thermal power plants and water consumption of cascade hydropower stations, and can realize the optimal operation of the whole power system.