Dwiana Hendrawati, Brainvendra Widi Dionova, Sahid, Jafar Mukhlis, A. Khoryanton
{"title":"Design of Wind Turbines Power Coefficient On Wind Farm Based Centralized Control","authors":"Dwiana Hendrawati, Brainvendra Widi Dionova, Sahid, Jafar Mukhlis, A. Khoryanton","doi":"10.1109/ISITIA52817.2021.9502251","DOIUrl":null,"url":null,"abstract":"Wind Farm (WF) is a group of wind turbines at the same location to generate electricity simultaneously. Wake effect (WE) is one of the main factors in designing WF optimally. The effects of WE can be known from the decrease in speed in some turbines that occur as a result of interaction between turbines on WF. This issue may cause a decrease in output power on the WF. To solve the problem, power coefficient (Cp) control is carried out on all turbines in the WF. This proposed research designed Centralized Control to detect cp per turbine, modify Cp values, and obtain optimal Cp values on each turbine that could increase velocity deficit or increase WF output power. Data communication to and from the controller can be done with dcs (Distributed Control System). The processing of Cp data on the controller uses the firefly algorithm, which is limited by the number of iterations and the error value for its convergence. After simulating the implementation of Cp optimization values, the result is a decrease in velocity deficit or a 6% increase in WF power.","PeriodicalId":161240,"journal":{"name":"2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITIA52817.2021.9502251","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
Wind Farm (WF) is a group of wind turbines at the same location to generate electricity simultaneously. Wake effect (WE) is one of the main factors in designing WF optimally. The effects of WE can be known from the decrease in speed in some turbines that occur as a result of interaction between turbines on WF. This issue may cause a decrease in output power on the WF. To solve the problem, power coefficient (Cp) control is carried out on all turbines in the WF. This proposed research designed Centralized Control to detect cp per turbine, modify Cp values, and obtain optimal Cp values on each turbine that could increase velocity deficit or increase WF output power. Data communication to and from the controller can be done with dcs (Distributed Control System). The processing of Cp data on the controller uses the firefly algorithm, which is limited by the number of iterations and the error value for its convergence. After simulating the implementation of Cp optimization values, the result is a decrease in velocity deficit or a 6% increase in WF power.