{"title":"Design and Optimization of Power Harvesting and Distribution for Offshore Wind Farms Using Semi-Physical Simulation","authors":"E. Solomin, Ting Hou, Xiaotong Ma, Yiran Sun","doi":"10.1109/UralCon49858.2020.9216244","DOIUrl":null,"url":null,"abstract":"In this paper we have studied the software system of the semi-physical simulation training system for wind turbines, along with the optimizing of yawing and power distribution for offshore wind turbines considering long-term fatigue loading. The semi-physical simulation platform is based on doubly-fed wind turbines. The semi-physics terms refers to the need for usage of actual physical objects or controllers in the simulation system. One of the most vulnerable modes for the load affecting is yawing process. Since the yawing errors may strongly affect the strength loading, the study of mechanical and electrical, as well as fatigue properties, is very important. To reduce maintenance frequency, we proposed an optimized power distribution for balancing fatigue differences between wind turbines, and adopted the consistency algorithm in the multi-agent system (MAS), using the fatigue value of the wind turbine as the consistency variable to solve the problems with different fatigue values.","PeriodicalId":230353,"journal":{"name":"2020 International Ural Conference on Electrical Power Engineering (UralCon)","volume":"17 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/UralCon49858.2020.9216244","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
In this paper we have studied the software system of the semi-physical simulation training system for wind turbines, along with the optimizing of yawing and power distribution for offshore wind turbines considering long-term fatigue loading. The semi-physical simulation platform is based on doubly-fed wind turbines. The semi-physics terms refers to the need for usage of actual physical objects or controllers in the simulation system. One of the most vulnerable modes for the load affecting is yawing process. Since the yawing errors may strongly affect the strength loading, the study of mechanical and electrical, as well as fatigue properties, is very important. To reduce maintenance frequency, we proposed an optimized power distribution for balancing fatigue differences between wind turbines, and adopted the consistency algorithm in the multi-agent system (MAS), using the fatigue value of the wind turbine as the consistency variable to solve the problems with different fatigue values.