Julian Gaidukov, G. Glazyrin, V. Glazyrin, S. Eroshenko
{"title":"Control Algorithms and Optimization Method of the Hydroelectric Power Plant’s Microprocessing Joint Power Control","authors":"Julian Gaidukov, G. Glazyrin, V. Glazyrin, S. Eroshenko","doi":"10.1109/USEC50097.2020.9281275","DOIUrl":null,"url":null,"abstract":"This paper addresses the construction of a hydroelectric power plant’s microprocessing joint power control. The structure of a microprocessing joint power control and the hydraulic units control strategy are proposed. The authors of the study have developed hardware and software for the microprocessing joint power control. A new method for calculating the optimal distribution of active load between generators is set forward, based on the dependences of the specific increment in water rate on the power. The developed microprocessing joint power control was put into operation at three hydroelectric power plants in the Siberian Federal District, Russia. The analysis of the joint power control showed that the application of the proposed method makes it possible to determine the optimal load distribution at each control step with sufficient accuracy. Testing the optimization algorithm operation based on the proposed method in the joint power controls of these hydroelectric power plants showed the possibility and efficiency of its application in microprocessing controllers.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Ural Smart Energy Conference (USEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USEC50097.2020.9281275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper addresses the construction of a hydroelectric power plant’s microprocessing joint power control. The structure of a microprocessing joint power control and the hydraulic units control strategy are proposed. The authors of the study have developed hardware and software for the microprocessing joint power control. A new method for calculating the optimal distribution of active load between generators is set forward, based on the dependences of the specific increment in water rate on the power. The developed microprocessing joint power control was put into operation at three hydroelectric power plants in the Siberian Federal District, Russia. The analysis of the joint power control showed that the application of the proposed method makes it possible to determine the optimal load distribution at each control step with sufficient accuracy. Testing the optimization algorithm operation based on the proposed method in the joint power controls of these hydroelectric power plants showed the possibility and efficiency of its application in microprocessing controllers.