{"title":"可扩展控制分配:多相系统模块化多电平变换器的实时优化电流控制","authors":"Grégoire Le Goff, M. Fadel, M. Bodson","doi":"10.1109/speedam53979.2022.9842095","DOIUrl":null,"url":null,"abstract":"The main novelty of this paper is to introduce a new real-time optimized control allocation (CA) method of the currents scalable to any modular multilevel converter (MMC). It can be adapted to an MMC of any number of phases and (a) submodules (SM) without having to undergo changes in the control algorithm. First the scalable state-space model of the MMC currents is presented end than, this minimal order model is used to develop the scalable current control allocation method. The control allocation is computed by fast real-time optimization using linear programming and quadratic programming (b) algorithms. Three control allocation methods are Hardware-In- the-Loop tested for polyphase AC systems from 3 up to 101 phases, showing their ability to guarantee the current reference tracking as well as the scalability of the tracking performance. A comparison between the resolution methods highlights the benefits and pitfalls of each.","PeriodicalId":365235,"journal":{"name":"2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Scalable Control Allocation: Real-time Optimized Current Control in the Modular Multilevel Converter for Polyphase Systems\",\"authors\":\"Grégoire Le Goff, M. Fadel, M. Bodson\",\"doi\":\"10.1109/speedam53979.2022.9842095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main novelty of this paper is to introduce a new real-time optimized control allocation (CA) method of the currents scalable to any modular multilevel converter (MMC). It can be adapted to an MMC of any number of phases and (a) submodules (SM) without having to undergo changes in the control algorithm. First the scalable state-space model of the MMC currents is presented end than, this minimal order model is used to develop the scalable current control allocation method. The control allocation is computed by fast real-time optimization using linear programming and quadratic programming (b) algorithms. Three control allocation methods are Hardware-In- the-Loop tested for polyphase AC systems from 3 up to 101 phases, showing their ability to guarantee the current reference tracking as well as the scalability of the tracking performance. A comparison between the resolution methods highlights the benefits and pitfalls of each.\",\"PeriodicalId\":365235,\"journal\":{\"name\":\"2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/speedam53979.2022.9842095\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/speedam53979.2022.9842095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scalable Control Allocation: Real-time Optimized Current Control in the Modular Multilevel Converter for Polyphase Systems
The main novelty of this paper is to introduce a new real-time optimized control allocation (CA) method of the currents scalable to any modular multilevel converter (MMC). It can be adapted to an MMC of any number of phases and (a) submodules (SM) without having to undergo changes in the control algorithm. First the scalable state-space model of the MMC currents is presented end than, this minimal order model is used to develop the scalable current control allocation method. The control allocation is computed by fast real-time optimization using linear programming and quadratic programming (b) algorithms. Three control allocation methods are Hardware-In- the-Loop tested for polyphase AC systems from 3 up to 101 phases, showing their ability to guarantee the current reference tracking as well as the scalability of the tracking performance. A comparison between the resolution methods highlights the benefits and pitfalls of each.