Design and Development of Model Predictive Primary Control of Micro Grids: Simulation Examples in Matlab - Rilegato

Puvvula, Vidyasagar; Shanti Swarup, K.

Rilegato

ISBN 10: 9811958513 ISBN 13: 9789811958519

Casa editrice: Springer Nature, 2023

Riassunto

This book provides a design and development perspective MPC for micro-grid control, emphasizing step-by-step conversion of a nonlinear MPC to linear MPC preserving critical aspects of nonlinear MPC. The book discusses centralized and decentralized MPC control algorithms for a generic modern-day micro-grid consisting of vital essential constituents. It starts with the nonlinear MPC formulation for micro-grids. It also moves towards the linear time-invariant and linear time-variant approximations of the MPC for micro-grid control. The contents also discuss how the application of orthonormal special functions can improve computational complexity of MPC algorithms. It also highlights various auxiliary requirements like state estimator, disturbance compensator for robustness, selective harmonic eliminator for eliminating harmonics in the micro-grid, etc. These additional requirements are crucial for the successful online implementation of the MPC. In the end, the book shows how a well-designed MPC is superior in performance compared to the conventional micro-grid primary controllers discussed above. The key topics discussed in this book include – the detailed modeling of micro-grid components; operational modes in micro-grid and their control objectives; conventional micro-grid primary controllers; the importance of MPC as a micro-grid primary controller; understanding of MPC operation; nonlinear MPC formulation; linear approximations of MPC; application of special functions in the MPC formulation; and other online requirements for the MPC implementation. The examples in the book are available both from a calculation point of view and as MATLAB codes. This helps the students get acquainted with the subject first and then allows them to implement the subject they learn in software for further understanding and research.

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Informazioni sull?autore

Puvvula S R V R S S Vidyasagar completed his Ph.D. from Indian Institute of Technology (IIT) Madras. He completed his M.Tech. from National Institute of Technology (NIT) Calicut and B.Tech degree from RVR&JC Engineering College, India. His research interests are power systems, renewable energy, photovoltaics, smart grids, renewable energy technologies, and power systems modeling. He has several research papers in journals and conferences published to his credit.

K. Shanti Swarup is a faculty with the Department of Electrical Engineering, Indian Institute of Technology (IIT) Madras, India. Before joining the department as a visiting faculty member, he held positions at the Mitsubishi Electric Corporation, Osaka, Japan, and Kitami Institute of Technology, Hokkaido, Japan, serving as a visiting research scientist and visiting professor, respectively, from 1992to 1999. Since 2000, he has been a professor at IIT Madras. His research areas include power systems, smart grids, artificial intelligence, knowledge-based systems, computational intelligence, soft computing, Energy Management Systems (EMS), Supervisory Control and Data Acquisition (SCADA), power system automation, and network protection. He has done research projects with various industries like BHEL, Hitachi, Easun-MR, etc.

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 9811958513
• ISBN 13: 9789811958519
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 176
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania