{"title":"Characteristic of Functional Subsystems of Electrical Grid Control Centers","authors":"D. Zolin, E. Ryzhkova","doi":"10.1109/UralCon49858.2020.9216313","DOIUrl":null,"url":null,"abstract":"This paper proposes a new design technology that uses a morphological matrix of the basic structures and their structural components to help develop a full-scale hierarchical IMS architecture based on automated process control systems at 110+ kV substations of 110 kV or 35 kV and 110 kV APCS's utilized by regional grid companies. To adopt advanced systems for diagnosis and power monitoring of 110+ kV output transformers, one needs to prove such adoption feasible, to use optics and SMART grid technologies; such adoption determines further grid development and serves better grid monitoring and automation. Equipment visualization helps evaluate its condition and decide reasonably on how to maintain it. The paper describes a novel method for displaying diagnostic data, which generates a cognitive graphical image of a code matrix on the address space of the ROM; the image shows normalized equivalents of multiple optimal control states to save 5% to 40% of electricity making the equipment more energy-efficient at minimum energy costs. To effectively implement the diagnostic system and to use state-of-the-art method for monitoring the main equipment of the power grid complex, one needs a uniform integrated approach to diagnostics based on proven and methodologically sound technological solutions that enable condition-appropriate maintenance and repair.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UralCon49858.2020.9216313","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
This paper proposes a new design technology that uses a morphological matrix of the basic structures and their structural components to help develop a full-scale hierarchical IMS architecture based on automated process control systems at 110+ kV substations of 110 kV or 35 kV and 110 kV APCS's utilized by regional grid companies. To adopt advanced systems for diagnosis and power monitoring of 110+ kV output transformers, one needs to prove such adoption feasible, to use optics and SMART grid technologies; such adoption determines further grid development and serves better grid monitoring and automation. Equipment visualization helps evaluate its condition and decide reasonably on how to maintain it. The paper describes a novel method for displaying diagnostic data, which generates a cognitive graphical image of a code matrix on the address space of the ROM; the image shows normalized equivalents of multiple optimal control states to save 5% to 40% of electricity making the equipment more energy-efficient at minimum energy costs. To effectively implement the diagnostic system and to use state-of-the-art method for monitoring the main equipment of the power grid complex, one needs a uniform integrated approach to diagnostics based on proven and methodologically sound technological solutions that enable condition-appropriate maintenance and repair.