{"title":"Hierarchical Control Structure for Optimising Building Microgrid Self-consumption","authors":"Daniela Yassuda Yamashita, I. Vechiu, J. Gaubert","doi":"10.1109/SEST.2019.8849054","DOIUrl":null,"url":null,"abstract":"Renewable energy sources are increasingly deployed as distributed generators, restructuring the traditional electrical grid toward smart grids. Their intermittent power generation makes difficult the development of a complete carbon-free MicroGrid. Hence, aiming to keep the safe operation of a building MicroGrid (BMG) under stochastic variations in the power imbalance while respecting the requirements imposed by grid regulation to maximise self-consumption, a three-level energy management system was designed. The BMG main grid interaction aspects are assured by the two upper control level throughout a hierarchical model predictive control, whereas the power sharing among all electric vehicles is ensured via a deterministic state machine. The entire hierarchical control structure was tested through simulation in MATLAB under different scenarios. Results prove that the proposed control allows the BMG to keep its self-consumption index within expected boundaries despite environmental disturbances.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEST.2019.8849054","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
Renewable energy sources are increasingly deployed as distributed generators, restructuring the traditional electrical grid toward smart grids. Their intermittent power generation makes difficult the development of a complete carbon-free MicroGrid. Hence, aiming to keep the safe operation of a building MicroGrid (BMG) under stochastic variations in the power imbalance while respecting the requirements imposed by grid regulation to maximise self-consumption, a three-level energy management system was designed. The BMG main grid interaction aspects are assured by the two upper control level throughout a hierarchical model predictive control, whereas the power sharing among all electric vehicles is ensured via a deterministic state machine. The entire hierarchical control structure was tested through simulation in MATLAB under different scenarios. Results prove that the proposed control allows the BMG to keep its self-consumption index within expected boundaries despite environmental disturbances.