{"title":"Mathematical Model of a Micro Grid for a Hybrid Autonomous Station Based on Renewable Energy Sources for the Republic of Ingushetia","authors":"G. Titova, M. Malsagov","doi":"10.1109/SmartIndustryCon57312.2023.10110814","DOIUrl":null,"url":null,"abstract":"Part of the Russian population lives in small settlements in remote areas in remote areas at long distances from each other and is not connected to centralized power systems. For the peasant farms of the Republic of Ingushetia, the issues of creating an autonomous power supply system in the highlands, independent of external circumstances, are relevant for the life and development of economic activity. microgeneration based on renewable energy sources for the trade of goods and services on the international market with a certificate of \"green\" energy makes the products of enterprises more competitive. The classification of microgenerating hybrid systems based on renewable energy sources is presented. Optimization of the internal structure of microgenerating hybrid systems by types and installed capacity for each type of equipment included in the autonomous electrical complex has been carried out. The problem of finding the value of objective functions for optimal combinations of equipment, taking into account the parameters of reliability and capital costs of an autonomous power supply system, is formulated. A parametric model and algorithm of an optimal microgenerating hybrid system based on renewable energy sources have been developed.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Part of the Russian population lives in small settlements in remote areas in remote areas at long distances from each other and is not connected to centralized power systems. For the peasant farms of the Republic of Ingushetia, the issues of creating an autonomous power supply system in the highlands, independent of external circumstances, are relevant for the life and development of economic activity. microgeneration based on renewable energy sources for the trade of goods and services on the international market with a certificate of "green" energy makes the products of enterprises more competitive. The classification of microgenerating hybrid systems based on renewable energy sources is presented. Optimization of the internal structure of microgenerating hybrid systems by types and installed capacity for each type of equipment included in the autonomous electrical complex has been carried out. The problem of finding the value of objective functions for optimal combinations of equipment, taking into account the parameters of reliability and capital costs of an autonomous power supply system, is formulated. A parametric model and algorithm of an optimal microgenerating hybrid system based on renewable energy sources have been developed.