O. Sinchuk, T. Beridze, I. Sinchuk, V. Baranovskyi
{"title":"用非线性优化方法评价铁矿企业用户用电的仿真版本","authors":"O. Sinchuk, T. Beridze, I. Sinchuk, V. Baranovskyi","doi":"10.1109/MEES58014.2022.10005744","DOIUrl":null,"url":null,"abstract":"Efficiency of power consumption requires studying a number of problematic issues, the solution of which allows us to formulate and summarize regularities of this process. Analysis and synthesis of optimal indicators is the basis for a more in-depth interpretation of new facts obtained at the empirical level. This makes it possible to evaluate the process of electrical power consumption at energy-intensive enterprises, including mining ones in particular. The current level of electrification of mining production enables specifying a number of properties of this process in some general terms. Relevance of their study is due to an increase in power consumption efficiency at mining enterprises. These properties should undoubtedly be attributed primarily to efficiency of power supply and consumption. Simultaneously, an important aspect in conducting the research is the fact that increased efficiency of power consumption at mining enterprises is inextricably linked with the problem of evaluating changes in power consumption modes over time, which is essential and is determined by specifics of mining conditions. The research aims to develop a synergistic mathematical model for optimizing power consumption through total cost indices of power consumption by iron ore mines' consumers. On the basis of methodological foundations of synergetics and methodological approaches to nonlinear optimization, the authors' synergistic mathematical model is formed. By combining characteristics regarding power consumption at time intervals in options that represent power production by an enterprise itself and by external sources it is possible to develop a synergistic optimization model and offer a relevant solution method.","PeriodicalId":244144,"journal":{"name":"2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation Version of Evaluating Corporate Power Consumption by Consumers of Iron Ore Mines Using Nonlinear Optimization Means\",\"authors\":\"O. Sinchuk, T. Beridze, I. Sinchuk, V. Baranovskyi\",\"doi\":\"10.1109/MEES58014.2022.10005744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficiency of power consumption requires studying a number of problematic issues, the solution of which allows us to formulate and summarize regularities of this process. Analysis and synthesis of optimal indicators is the basis for a more in-depth interpretation of new facts obtained at the empirical level. This makes it possible to evaluate the process of electrical power consumption at energy-intensive enterprises, including mining ones in particular. The current level of electrification of mining production enables specifying a number of properties of this process in some general terms. Relevance of their study is due to an increase in power consumption efficiency at mining enterprises. These properties should undoubtedly be attributed primarily to efficiency of power supply and consumption. Simultaneously, an important aspect in conducting the research is the fact that increased efficiency of power consumption at mining enterprises is inextricably linked with the problem of evaluating changes in power consumption modes over time, which is essential and is determined by specifics of mining conditions. The research aims to develop a synergistic mathematical model for optimizing power consumption through total cost indices of power consumption by iron ore mines' consumers. On the basis of methodological foundations of synergetics and methodological approaches to nonlinear optimization, the authors' synergistic mathematical model is formed. By combining characteristics regarding power consumption at time intervals in options that represent power production by an enterprise itself and by external sources it is possible to develop a synergistic optimization model and offer a relevant solution method.\",\"PeriodicalId\":244144,\"journal\":{\"name\":\"2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)\",\"volume\":\"238 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEES58014.2022.10005744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEES58014.2022.10005744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation Version of Evaluating Corporate Power Consumption by Consumers of Iron Ore Mines Using Nonlinear Optimization Means
Efficiency of power consumption requires studying a number of problematic issues, the solution of which allows us to formulate and summarize regularities of this process. Analysis and synthesis of optimal indicators is the basis for a more in-depth interpretation of new facts obtained at the empirical level. This makes it possible to evaluate the process of electrical power consumption at energy-intensive enterprises, including mining ones in particular. The current level of electrification of mining production enables specifying a number of properties of this process in some general terms. Relevance of their study is due to an increase in power consumption efficiency at mining enterprises. These properties should undoubtedly be attributed primarily to efficiency of power supply and consumption. Simultaneously, an important aspect in conducting the research is the fact that increased efficiency of power consumption at mining enterprises is inextricably linked with the problem of evaluating changes in power consumption modes over time, which is essential and is determined by specifics of mining conditions. The research aims to develop a synergistic mathematical model for optimizing power consumption through total cost indices of power consumption by iron ore mines' consumers. On the basis of methodological foundations of synergetics and methodological approaches to nonlinear optimization, the authors' synergistic mathematical model is formed. By combining characteristics regarding power consumption at time intervals in options that represent power production by an enterprise itself and by external sources it is possible to develop a synergistic optimization model and offer a relevant solution method.