|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910637716103321 |
|
|
Autore |
Vidyasagar Puvvula |
|
|
Titolo |
Design and Development of Model Predictive Primary Control of Micro Grids : Simulation Examples in MATLAB / / by Puvvula Vidyasagar, K. Shanti Swarup |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2023.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (170 pages) : illustrations |
|
|
|
|
|
|
Collana |
|
Springer Tracts in Electrical and Electronics Engineering, , 2731-4219 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Electric power production |
Control engineering |
Electrical Power Engineering |
Mechanical Power Engineering |
Control and Systems Theory |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references. |
|
|
|
|
|
|
Nota di contenuto |
|
Chapter 1. Micro-grid Introduction and Overview -- Chapter 2. An Overview of Micro-grid Control -- Chapter 3. Mathematical Modelling of a Micro-grid -- Chapter 4. Introduction to Model Predictive Control -- Chapter 5. LTI-MPC for the Micro-grid Control -- Chapter 6. LTV-MPC with Extended “TAIL” -- Chapter 7. Special functions in the MPC formulation -- Chapter 8. Auxiliary Requirements for Real-time Implementation -- Chapter 9. Conclusion and Future Scope. . |
|
|
|
|
|
|
|
|
Sommario/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, |
|
|
|
|