LEADER 04421nam  22005775  450 
001 9910637716103321
005 20230724135811.0
010   $a981-19-5852-1
024 7 $a10.1007/978-981-19-5852-6
035   $a(MiAaPQ)EBC7165747
035   $a(Au-PeEL)EBL7165747
035   $a(CKB)25913867000041
035   $a(DE-He213)978-981-19-5852-6
035   $a(PPN)267815743
035   $a(EXLCZ)9925913867000041
100   $a20221228d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDesign and Development of Model Predictive Primary Control of Micro Grids $eSimulation Examples in MATLAB /$fby Puvvula Vidyasagar, K. Shanti Swarup
205   $a1st ed. 2023.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023.
215   $a1 online resource (170 pages) $cillustrations
225 1 $aSpringer Tracts in Electrical and Electronics Engineering,$x2731-4219
311 08$aPrint version: Vidyasagar, Puvvula Design and Development of Model Predictive Primary Control of Micro Grids Singapore : Springer,c2023 9789811958519 
320   $aIncludes bibliographical references.
327   $aChapter 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. .
330   $aThis book provides a design and development perspective MPC for micro-grid control, emphasizing step-by-step conversion of a nonlinear MPC to linear MPC preserving critical aspects of nonlinear MPC. The book discusses centralized and decentralized MPC control algorithms for a generic modern-day micro-grid consisting of vital essential constituents. It starts with the nonlinear MPC formulation for micro-grids. It also moves towards the linear time-invariant and linear time-variant approximations of the MPC for micro-grid control. The contents also discuss how the application of orthonormal special functions can improve computational complexity of MPC algorithms. It also highlights various auxiliary requirements like state estimator, disturbance compensator for robustness, selective harmonic eliminator for eliminating harmonics in the micro-grid, etc. These additional requirements are crucial for the successful online implementation of the MPC. In the end, the book shows how a well-designed MPC is superior in performance compared to the conventional micro-grid primary controllers discussed above. The key topics discussed in this book include ? the detailed modeling of micro-grid components; operational modes in micro-grid and their control objectives; conventional micro-grid primary controllers; the importance of MPC as a micro-grid primary controller; understanding of MPC operation; nonlinear MPC formulation; linear approximations of MPC; application of special functions in the MPC formulation; and other online requirements for the MPC implementation. The examples in the book are available both from a calculation point of view and as MATLAB codes. This helps the students get acquainted with the subject first and then allows them to implement the subject they learn in software for further understanding and research.
410  0$aSpringer Tracts in Electrical and Electronics Engineering,$x2731-4219
606   $aElectric power production
606   $aControl engineering
606   $aElectrical Power Engineering
606   $aMechanical Power Engineering
606   $aControl and Systems Theory
615  0$aElectric power production.
615  0$aControl engineering.
615 14$aElectrical Power Engineering.
615 24$aMechanical Power Engineering.
615 24$aControl and Systems Theory.
676   $a621.31
700   $aVidyasagar$b Puvvula$01274420
702   $aShanti Swarup$b K.
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910637716103321
996   $aDesign and Development of Model Predictive Primary Control of Micro Grids$93566862
997   $aUNINA