{"title":"FMPC-VMD Based Control Strategy for Tracking Generation Plans of Multi-type Energy Storage System","authors":"Xi Qi, Xiangjun Li, Shan He","doi":"10.1109/CICED.2018.8592371","DOIUrl":null,"url":null,"abstract":"To take full advantage of the complementary nature of multi-type energy storage and maximally increase the capability of tracking the scheduled PV power output, a charging-discharging control strategy combining Fuzzy-Model Predictive Control (FMPC) and Variational Mode Decomposition (VMD) for a energy storage system (ESS) is proposed. Firstly, the total energy storage load can be obtained based on FMPC algorithm. Then, power allocation between multi-type power storage is achieved with VMD. A simulation analysis, taking a typical PV output as an actual data sample, showed that the proposed FMPC-VMD control method for the multi-type BESS is uniquely flexible and adaptable in achieving the control effect of improving the capability of tracking the scheduled PV power output.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 China International Conference on Electricity Distribution (CICED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICED.2018.8592371","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
To take full advantage of the complementary nature of multi-type energy storage and maximally increase the capability of tracking the scheduled PV power output, a charging-discharging control strategy combining Fuzzy-Model Predictive Control (FMPC) and Variational Mode Decomposition (VMD) for a energy storage system (ESS) is proposed. Firstly, the total energy storage load can be obtained based on FMPC algorithm. Then, power allocation between multi-type power storage is achieved with VMD. A simulation analysis, taking a typical PV output as an actual data sample, showed that the proposed FMPC-VMD control method for the multi-type BESS is uniquely flexible and adaptable in achieving the control effect of improving the capability of tracking the scheduled PV power output.
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