{"title":"Rule-based Control Strategy for a River-based Grid-connected Hydrokinetic System","authors":"S. P. Koko, K. Kusakana, H. Vermaak","doi":"10.1109/ICONIC.2018.8601293","DOIUrl":null,"url":null,"abstract":"This paper presents an optimal control algorithm for improving the reliability of a river-based grid-interactive hydrokinetic system. The aim is to guarantee a reliable system operation during load demand uncertainties. The proposed system consists of a micro-hydrokinetic pumped-hydro storage (MHK-PHS) system, modelled to supply electricity to a commercial load profile. The open-loop optimization-based approach resulted in an unmet load demand and excessive energy supply, due to load demand uncertainty. Hence, a rule-based control algorithm is presented to ensure that the load demand is reliably met at all times. Thus, the results prove that the developed rule-based control algorithm, allowed the commercial load demand to be reliably met by solving both the unmet load demand and excessive energy supply challenges.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIC.2018.8601293","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 presents an optimal control algorithm for improving the reliability of a river-based grid-interactive hydrokinetic system. The aim is to guarantee a reliable system operation during load demand uncertainties. The proposed system consists of a micro-hydrokinetic pumped-hydro storage (MHK-PHS) system, modelled to supply electricity to a commercial load profile. The open-loop optimization-based approach resulted in an unmet load demand and excessive energy supply, due to load demand uncertainty. Hence, a rule-based control algorithm is presented to ensure that the load demand is reliably met at all times. Thus, the results prove that the developed rule-based control algorithm, allowed the commercial load demand to be reliably met by solving both the unmet load demand and excessive energy supply challenges.