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Cooperative Synchronization in Distributed Microgrid Control de Ali Bidram

Cooperative Synchronization in Distributed Microgrid Control: Advances in Industrial Control

Autor Ali Bidram, Vahidreza Nasirian, Ali Davoudi, Frank L. Lewis
en Limba Engleză Hardback – 3 mar 2017

În volumul Cooperative Synchronization in Distributed Microgrid Control, descoperim o abordare tehnică riguroasă a arhitecturilor de control pentru rețelele energetice moderne. Metodologia centrală se concentrează pe tranziția de la sistemele de control centralizate, vulnerabile la puncte unice de defecțiune, către sisteme multi-agent capabile de auto-organizare și sincronizare cooperativă. Subliniem faptul că autorii nu se limitează la o descriere conceptuală, ci fundamentează fiecare algoritm prin demonstrații matematice stricte și simulări care confirmă stabilitatea sistemului în scenarii reale de operare.

Structura lucrării este una progresivă, facilitând înțelegerea mecanismelor complexe prin etape logice. Începem cu fundamentele modelării microrețelelor și bazele sistemelor multi-agent, piloni esențiali pentru a înțelege capitolele ulterioare dedicate controlului distribuit în AC. Un element distinctiv îl reprezintă secțiunile despre metodele avansate, precum controlul de tip „droop-free”, și extinderea acestor paradigme către microrețelele de curent continuu (DC). Ca și Magdi S. Mahmoud în Microgrid, autorii de față distilează experiența de cercetare în principii acționabile, însă pun un accent mult mai pronunțat pe sincronizarea matematică a agenților distribuiți pentru a asigura flexibilitatea și configurabilitatea rețelei. Găsim în această carte un echilibru între teoria sistemelor de control și aplicațiile practice în integrarea surselor de energie regenerabilă, oferind soluții pentru optimizarea sarcinii și menținerea stabilității tensiunii fără intervenție centralizată.

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Specificații

ISBN-13: 9783319508078
ISBN-10: 3319508075
Pagini: 260
Ilustrații: XVI, 242 p. 129 illus., 68 illus. in color.
Dimensiuni: 160 x 241 x 19 mm
Greutate: 0.61 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Advances in Industrial Control
Seria Advances in Industrial Control

Locul publicării:Cham, Switzerland

De ce să citești această carte

Această lucrare este esențială pentru inginerii electrici și cercetătorii care dezvoltă infrastructuri energetice reziliente. Cititorul câștigă o înțelegere profundă a modului în care algoritmii cooperativi pot gestiona generarea și stocarea energiei la nivel local. Este o resursă valoroasă deoarece oferă atât cadrul teoretic, cât și instrumentele de simulare necesare pentru a proiecta sisteme de control care nu colapsează la defectarea unei singure unități.

Despre autor

Echipa de autori este formată din experți recunoscuți în inginerie electrică și sisteme de control. Ali Bidram, Vahidreza Nasirian și Ali Davoudi au contribuții semnificative în domeniul electronicii de putere și al rețelelor inteligente. Frank L. Lewis este un nume de referință în teoria controlului, fiind membru IEEE și autor al unor lucrări fundamentale despre sisteme de control adaptiv și optim. Expertiza lor colectivă, reflectată în seria Advances in Industrial Control de la Springer, garantează o abordare academică de înalt nivel, ancorată în provocările actuale ale distribuției energiei.

Cuprins

Introduction.- Control and Modeling of Microgrids.- Background on Distributed Control of Multi-agent Systems.- Distributed Control of AC Microgrids.- Advanced Methods for Distributed Control of AC Microgrids.- Droop-Free Control of AC Microgrids.- Synchronization in DC Microgrids.

Notă biografică

Ali Bidram received his Ph.D. degree from the University of Texas at Arlington in 2014. In his PhD, he was working on the distributed control of AC microgrids. Currently, he is a principal consultant in Quanta Technology, Canada and working in the field of power systems protection, microgrid control and automation, and grid integration of renewable energy resources. His areas of expertise lie within the power system control and automation, microgrid control, power system protection, and distributed control of multi-agent systems. Ali Bidram is an associate editor of IEEE Transactions on Industry Applications. He was the recipient of 2014 N. M. Stelmakh student research award.
Vahidreza Nasirian has joined TeraDiode, Inc. in 2016 as High-power Electrical Engineer, where he is currently appointed as the Product Manager for high-power laser diode drivers. He received Ph.D. from the University of Texas at Arlington in 2015. His research interests include the modeling and control of power electronics, control development for microgrids, renewable/ sustainable energy systems, transportation electrification, and control of multi-agent dynamic systems. Dr. Nasirian received IEEE Power and Energy Society Prize Paper Award in Jul. 2016, Best Paper Award from IEEE Transactions on Energy Conversion in Dec. 2015, and Best Symposium Paper Award from 8th Int’l Symposium on Resilient Control Systems in Aug. 2015. He was also the recipient of the UT-Arlington Graduate Dissertation Fellowship for summer 2015, the Carrizo Oil and Gas Inc. Graduate Research Fellowship for 2011–2013, and Iranian National Elites Foundation Fellowship for 2008–2010.
Ali Davoudi received his Ph.D. in Electrical and Computer Engineering from the University of Illinois, Urbana-Champaign, IL, USA, in 2010. He is currently an Associate Professor in the Electrical Engineering Department, University of Texas, Arlington, TX, USA. He was with Solar Bridge Technologies, Texas Instruments Inc., and Royal Philips Electronics. His research interests include various aspects of analysis and control of complex power electronics systems. Dr. Davoudi is an Associate Editor for the IEEE Transactions on Transportation Electrification and IEEE Transactions on Energy Conversion. He has received 2014 Ralph H. Lee Prize Paper Award from IEEE Transactions on Industry Applications, Best Paper Award from 2015 IEEE International Symposium on Resilient Control Systems, 2014-2015 Best Paper Award from IEEE Transactions on Energy Conversion, and 2016 Prize Paper Award from the IEEE Power and Energy Society.

Frank L. Lewis, Member, National Academy of Inventors. Fellow IEEE, Fellow IFAC, Fellow U.K. Institute of Measurement & Control, PE Texas, U.K. Chartered Engineer. UTA Distinguished Scholar Professor, UTA Distinguished Teaching Professor, and Moncrief-O’Donnell Chair at the University of Texas at Arlington Research Institute.  Qian Ren Thousand Talents Consulting Professor, Northeastern University, Shenyang, China. He obtained the Bachelor's Degree in Physics/EE and the MSEE at Rice University, the MS in Aeronautical Engineering from Univ. W. Florida, and the Ph.D. at Ga. Tech.  He works in feedback control, intelligent systems, cooperative control systems, and nonlinear systems.  He is author of 7 U.S. patents, numerous journal special issues, journal papers, and 20 books, including Optimal Control, Aircraft Control, Optimal Estimation, and Robot Manipulator Control which are used as university textbooks worldwide. He received the Fulbright Research Award, NSF Research Initiation Grant, ASEE Terman Award, Int. Neural Network Soc. Gabor Award, U.K. Inst Measurement & Control Honeywell Field Engineering Medal, IEEE Computational Intelligence Society Neural Networks Pioneer Award, AIAA Intelligent Systems Award.  Received Outstanding Service Award from Dallas IEEE Section, selected as Engineer of the year by Ft. Worth IEEE Section.  Was listed in Ft. Worth Business Press Top 200 Leaders in Manufacturing.  Texas Regents Outstanding Teaching Award 2013. He is Distinguished Visiting Professor at Nanjing University of Science & Technology and Project 111 Professor at Northeastern University in Shenyang, China.  Founding Member of the Board of Governors of the Mediterranean Control Association. 




Textul de pe ultima copertă

This book brings together emerging objectives and paradigms in the control of both AC and DC microgrids; further, it facilitates the integration of renewable-energy and distribution systems through localization of generation, storage and consumption. The control objectives in a microgrid are addressed through the hierarchical control structure. 
 
After providing a comprehensive survey on the state of the art in microgrid control, the book goes on to address the most recent control schemes for both AC and DC microgrids, which are based on the distributed cooperative control of multi-agent systems. The cooperative control structure discussed distributes the co-ordination and optimization tasks across all distributed generators. This does away with the need for a central controller, and the control system will not collapse in response to the outage of a single unit. This avoids adverse effects on system flexibility and configurability, as wellas the reliability concerns in connection with single points of failure that arise in traditional, centralized microgrid control schemes.

Rigorous proofs develop each control methodology covered in the book, and simulation examples are provided to justify all of the proposed algorithms. Given its extensive yet self-contained content, the book offers a comprehensive source of information for graduate students, academic researchers, and practicing engineers working in the field of microgrid control and optimization.
 
Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Caracteristici

Provides academic and practicing readers with a comprehensive survey of the control of microgrids Shows the reader how distributed control can provide greater flexibility, configurability and reliability in microgrid power systems Covers generation, storage and consumption in both DC and AC microgrids Includes supplementary material: sn.pub/extras