{"title":"鲁棒非线性MPC攻击下互联微电网的弹性控制","authors":"Sarah Braun, Sebastian Albrecht, S. Lucia","doi":"10.5220/0011316500003271","DOIUrl":null,"url":null,"abstract":": With the growing share of renewable energy sources, the uncertainty in power supply is increasing, on the one hand because of fluctuations in the renewables, but on the other hand also due to the threat of deliberate malicious attacks, which may become more prevalent due to the growing number of distributed generation units. It is thus essential that local microgrids are controlled in a robust manner in order to ensure stability and supply security even in the event of disturbances. To this end, we introduce a mathematical model for interconnected, physically coupled microgrids with renewable generation that are exposed to the risk of attacks. For optimal energy management and control, we present a resilient framework that combines a model-based method to identify occurring attacks and a model predictive control scheme to compute robust control inputs. We demonstrate the efficiency of the method for microgrid control in numerical experiments.","PeriodicalId":6436,"journal":{"name":"2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)","volume":"17 1","pages":"58-66"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Resilient Control of Interconnected Microgrids Under Attack by Robust Nonlinear MPC\",\"authors\":\"Sarah Braun, Sebastian Albrecht, S. Lucia\",\"doi\":\"10.5220/0011316500003271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": With the growing share of renewable energy sources, the uncertainty in power supply is increasing, on the one hand because of fluctuations in the renewables, but on the other hand also due to the threat of deliberate malicious attacks, which may become more prevalent due to the growing number of distributed generation units. It is thus essential that local microgrids are controlled in a robust manner in order to ensure stability and supply security even in the event of disturbances. To this end, we introduce a mathematical model for interconnected, physically coupled microgrids with renewable generation that are exposed to the risk of attacks. For optimal energy management and control, we present a resilient framework that combines a model-based method to identify occurring attacks and a model predictive control scheme to compute robust control inputs. We demonstrate the efficiency of the method for microgrid control in numerical experiments.\",\"PeriodicalId\":6436,\"journal\":{\"name\":\"2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)\",\"volume\":\"17 1\",\"pages\":\"58-66\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0011316500003271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0011316500003271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resilient Control of Interconnected Microgrids Under Attack by Robust Nonlinear MPC
: With the growing share of renewable energy sources, the uncertainty in power supply is increasing, on the one hand because of fluctuations in the renewables, but on the other hand also due to the threat of deliberate malicious attacks, which may become more prevalent due to the growing number of distributed generation units. It is thus essential that local microgrids are controlled in a robust manner in order to ensure stability and supply security even in the event of disturbances. To this end, we introduce a mathematical model for interconnected, physically coupled microgrids with renewable generation that are exposed to the risk of attacks. For optimal energy management and control, we present a resilient framework that combines a model-based method to identify occurring attacks and a model predictive control scheme to compute robust control inputs. We demonstrate the efficiency of the method for microgrid control in numerical experiments.