Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou
{"title":"基于模糊算法的新农村多能源配送网络优化规划","authors":"Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou","doi":"10.1186/s42162-025-00502-y","DOIUrl":null,"url":null,"abstract":"<div><p>With the increasing demand for renewable energy in new rural areas, the integration and optimization of multi-energy systems such as wind and photovoltaic have become a key issue in distribution network planning. Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. In this paper, the fuzzy algorithm is used to optimize the multi-energy distribution network, and the efficiency of the system is improved by real-time scheduling and load balancing. The results show that the fuzzy algorithm can effectively improve the utilization rate of renewable energy, reduce energy loss, and improve the stability and load matching degree of the system, which provides an optimization scheme for the new rural multi-energy system.</p></div>","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00502-y","citationCount":"0","resultStr":"{\"title\":\"Optimization planning of new rural multi-energy distribution network based on fuzzy algorithm\",\"authors\":\"Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou\",\"doi\":\"10.1186/s42162-025-00502-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>With the increasing demand for renewable energy in new rural areas, the integration and optimization of multi-energy systems such as wind and photovoltaic have become a key issue in distribution network planning. Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. In this paper, the fuzzy algorithm is used to optimize the multi-energy distribution network, and the efficiency of the system is improved by real-time scheduling and load balancing. The results show that the fuzzy algorithm can effectively improve the utilization rate of renewable energy, reduce energy loss, and improve the stability and load matching degree of the system, which provides an optimization scheme for the new rural multi-energy system.</p></div>\",\"PeriodicalId\":538,\"journal\":{\"name\":\"Energy Informatics\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00502-y\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/s42162-025-00502-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Energy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Informatics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1186/s42162-025-00502-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Energy","Score":null,"Total":0}
Optimization planning of new rural multi-energy distribution network based on fuzzy algorithm
With the increasing demand for renewable energy in new rural areas, the integration and optimization of multi-energy systems such as wind and photovoltaic have become a key issue in distribution network planning. Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. In this paper, the fuzzy algorithm is used to optimize the multi-energy distribution network, and the efficiency of the system is improved by real-time scheduling and load balancing. The results show that the fuzzy algorithm can effectively improve the utilization rate of renewable energy, reduce energy loss, and improve the stability and load matching degree of the system, which provides an optimization scheme for the new rural multi-energy system.