Power system simulation using semi-analytical methods / (Record no. 89470)
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fixed length control field | 10515cam a2200541 i 4500 |
001 - CONTROL NUMBER | |
control field | 1389487673 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250203174212.0 |
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fixed length control field | cr cnu---unuuu |
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fixed length control field | 230628s2024 njum ob u001 0 eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119988038 |
Qualifying information | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119988039 |
Qualifying information | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119988021 |
Qualifying information | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119988020 |
Qualifying information | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119988045 |
Qualifying information | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119988047 |
Qualifying information | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Cancelled/invalid ISBN | 9781119988014 |
Qualifying information | hardcover |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1002/9781119988045 |
Source of number or code | doi |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1389487673 |
037 ## - SOURCE OF ACQUISITION | |
Stock number | 10248025 |
Source of stock number/acquisition | IEEE |
042 ## - AUTHENTICATION CODE | |
Authentication code | pcc |
050 04 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | TK1005 |
Item number | .P7177 2024 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 621.3101/13 |
Edition number | 23/eng/20230630 |
245 00 - TITLE STATEMENT | |
Title | Power system simulation using semi-analytical methods / |
Statement of responsibility, etc | edited by Kai Sun. |
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc | Hoboken, New Jersey : |
Name of publisher, distributor, etc | John Wiley & Sons, Inc., |
Date of publication, distribution, etc | [2024] |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (xx, 348 pages) : |
Other physical details | illustrations (chiefly color) |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent. |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia. |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier. |
340 ## - PHYSICAL MEDIUM | |
-- | polychrome |
Source | rdacc |
Authority record control number or standard number | http://rdaregistry.info/termList/RDAColourContent/1003. |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc | Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. | |
Summary, etc | "The purpose of this book is to enhance the speed of time-domain simulations of bulk power systems by introducing a semi-analytical methodology that integrates various simulation techniques. This new approach differs from traditional simulations that use low-order numerical integrators. Instead, it employs a high-order analytical form that approximates the dynamic response of the system with improved accuracy. By embedding symbolic variables and parameters, the resulting semi-analytical solution allows for the decomposition of its computation into sequential or concurrent processes, reducing the time required for simulations. Additionally, a significant amount of computation can be performed offline before a simulation run is needed or be parallelized, making the simulations even faster. These semi-analytical methods can be integrated or interfaced with existing numerical integrators to create more robust power system simulators that can be used with high-performance parallel computers. The book is structured to provide a comprehensive and systematic coverage of such emerging methods for finding semi-analytical solutions and accelerating power system simulation, as documented in literature"-- |
Assigning source | Provided by publisher. |
505 0# - CONTENTS | |
Formatted contents note | PREFACE -- by Kai Sun -- -- 1 POWER SYSTEM SIMULATION: FROM NUMERICAL TO SEMI-ANALYTICAL -- by Kai Sun -- -- 1.1 Timescales of Simulation 4 -- 1.2 Power System Models 7 -- 1.2.1 Overview 7 -- 1.2.2 Generator Models 10 -- 1.2.3 Controller Models 13 -- 1.2.4 Load Models 18 -- 1.2.5 Network Model 21 -- 1.2.6 Classical Power System Model 22 -- 1.3 Numerical Simulation 25 -- 1.3.1 Explicit Integration Methods 26 -- 1.3.2 Implicit Integration Methods 29 -- 1.3.3 Solving Differential-Algebraic Equations 33 -- 1.4 Semi-Analytical Simulation 35 -- 1.4.1 Drawbacks with Numerical Simulations 35 -- 1.4.2 Emerging Methods for Semi-Analytical Power System Simulation 36 -- 1.4.3 Approaches to Semi-Analytical Solutions 38 -- 1.4.4 Forms of Semi-Analytical Solutions 46 -- 1.4.5 Schemes on Semi-Analytical Power System Simulation 48 -- 1.5 Parallel Power System Simulation 50 -- 1.5.1 Parallelization in Space 51 -- 1.5.2 Parallelization in Time 52 -- 1.5.3 Parallelization of Semi-Analytical Solutions 55 -- 1.6 Final Remark 56 -- References 57 -- -- 2 POWER SYSTEM SIMULATION USING POWER SERIES-BASED SEMI-ANALYTICAL METHOD -- by Bin Wang -- -- 2.1. Power Series-Based SAS for Simulating Power System ODEs -- 2.1.1. Power Series-Based SAS for ODEs -- 2.1.2. SAS-Based Fault-on Trajectory Simulation and Its Application in Direct Methods -- 2.2. Power Series-Based SAS for Simulating Power System DAEs -- 2.2.1. Power Series-Based SAS for Power System DAEs -- 2.2.2. SAS-Based Simulation of Power System DAEs -- 2.3. Adaptive Time-Stepping Method for SAS-Based -- 2.3.1. Error-Rate Upper Bound -- 2.3.2. Adaptive Time-Stepping for SAS-Based Simulation -- 2.4. Numerical Examples -- 2.4.1. SAS vs. RK4 and BDF -- 2.4.2. SAS Derivation -- 2.4.3. Application of SAS-Based Simulation on Polish 2383-Bus Power System -- -- -- 3 POWER SYSTEM SIMULATION USING DIFFERENTIAL TRANSFORMATION METHOD by Yang Liu -- -- 3.1 Introduction to Differential Transformation 1 -- 3.2 Solving the Ordinary Differential Equation Model 6 -- 3.2.1 Derivation Process 6 -- 3.2.2 Solution Algorithm 11 -- 3.2.3 Case Study 13 -- 3.3 Solving the Differential-Algebraic Equation Model 22 -- 3.3.1 Basic Idea 22 -- 3.3.2 Derivation Process 24 -- 3.3.3 Solution Algorithm 27 -- 3.3.4 Case Study 28 -- 3.4 Broader Applications 32 -- 3.5 Conclusions and Future Directions 33 -- References 34 -- -- 4 ACCELERATED POWER SYSTEM SIMULATION USING ANALYTIC CONTINUATION TECHNIQUES -- by Chengxi Liu -- -- 4.1 Introduction to Analytic Continuation 3 -- 4.1.1 Direct Method (or matrix method) 5 -- 4.1.2 Continued fractions (i.e. Viskovatov method) 7 -- 4.2 Finding Semi-Analytical Solutions Using Pad�e Approximants 8 -- 4.2.1 Semi-Analytical Solution Using Pad�e Approximants 8 -- 4.2.2 Pad�e Approximants of Power System Differential Equations 11 -- 4.2.3 Examples 13 -- 4.3 Fast Power System Simulation Using Continued Fractions 19 -- 4.3.1 The Proposed Two-Stage Simulation Scheme 20 -- 4.3.2 Continued Fractions-Based Semi-Analytical Solutions 22 -- 4.3.3 Adaptive Time Interval Based on Priori Error Bound of Continued Fractions 25 -- 4.3.4 Examples 28 -- 4.4 Conclusions 33 -- References 33 -- -- 5 POWER SYSTEM SIMULATION USING MULTI-STAGE ADOMIAN DECOMPOSITION METHODS -- by Nan Duan -- -- 5.1 Introduction to Adomian Decomposition Method 2 -- 5.1.1 Solving Deterministic Differential Equations 2 -- 5.1.2 Solving Stochastic Differential Equations 3 -- 5.2 Adomian Decomposition of Deterministic Power System Models 3 -- 5.2.1 Applying Adomian Decomposition Method to Power Systems 3 -- 5.2.2 Convergence and Time Window of Accuracy 6 -- 5.2.3 Adaptive Time Window 11 -- 5.2.4 Simulation Scheme 11 -- 5.2.5 Examples 14 -- 5.3 Adomian Decomposition of Stochastic Power System Models 27 -- 5.3.1 Single Machine Infinite Bus System with a Stochastic Load 27 -- 5.3.2 Examples 30 -- 5.4 Large-scale Power System Simulations Using Adomian Decomposition Method 33 -- References 34 -- -- 6 APPLICATION OF HOMOTOPY METHODS IN POWER SYSTEMS SIMULATIONS -- by Gurunath Gurrala and Francis C Joseph -- -- 6.1. Introduction -- 6.2. The Homotopy Method -- 6.3. Application of Homotopy methods to Power Systems -- 6.3.1. Generator Model for Transient Stability -- 6.4. Multimachine Simulations -- 6.4.1. Impact of Number of Terms Considered -- 6.4.2. Effect of c -- 6.5. Application of Homotopy for Error Estimation -- 6.5.1. Adaptive Step Size Adjustment based Modified Euler -- 6.5.2. Non-Iterative Adaptive Step Size Adjustment -- 6.5.3. Simulation Results -- 6.5.4. Tracking of LTE -- 6.5.5. Accuracy with Variation of Desired LTE -- 6.5.6. Computational Time and Speedup -- 6.6. Summary -- -- 7 UTILIZING SEMI-ANALYTICAL METHODS IN PARALLEL-IN-TIME POWER SYSTEM SIMULATIONS -- by Byungkwon Park -- -- 7.1. Introduction to the Parallel-in-Time (Parareal Algorithm) Simulation -- 7.1.1. Overview of Parareal Algorithm -- 7.1.2. The derivation of Parareal algorithm -- 7.1.3. Implementation of Parareal Algorithm -- 7.2. Examination of Semi-Analytical Solution Methods in the Parareal Algorithm -- 7.2.1. Adomian Decomposition Method -- 7.2.2. Homotopy Analysis Method -- 7.2.3. Summary -- 7.3. Numerical Case Study -- 7.3.1. Validation of Parareal Algorithm -- 7.3.2. Benefits of Semi-Analytical Solution methods -- 7.3.3. Results with the High Performance Computing Platform -- 7.3.4. Results with Variable Order Variable Step Adaptive Parareal algorithm -- 7.4. Conclusions -- -- 8 POWER SYSTEM SIMULATION USING HOLOMORPHIC EMBEDDING METHODS -- by Rui Yao, Kai Sun, and Feng Qiu -- -- 8.1. Holomorphic Embedding from Steady State to Dynamics -- 8.1.1. Holomorphic embedding formulations -- 8.1.2. VSA using holomorphic embedding -- 8.1.3. Test cases -- 8.1.4. Summary of the Section -- 8.2. Generic Holomorphic Embedding for Dynamic Security Analysis -- 8.2.1. General holomorphic embedding -- 8.2.2. Solve state after instant switches -- 8.2.3. Overall Dynamic simulation process -- 8.2.4. Test cases -- 8.2.5. Summary of Section -- 8.3. Extended-term Hybrid Simulation -- 8.3.1. Steady-state & Dynamic Hybrid Simulation -- 8.3.2. Extended-term Simulation Framework -- 8.3.3. Experiments -- 8.3.4. Summary of Section -- 8.4. Robust Parallel or Distributed Simulation -- 8.4.1. Steady-state contingency analysis: problem formulation and state of the art -- 8.4.2. Partitioned holomorphic embedding (PHE) -- 8.4.3. Parallel and Distributed Computation -- 8.4.4. Experiment on large-scale system -- 8.4.5. Summary of Section -- -- -- Index. |
506 ## - RESTRICTIONS ON ACCESS NOTE | |
Terms governing access | Available to OhioLINK libraries. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Electric power systems |
Authority record control number | https://id.loc.gov/authorities/subjects/sh85041921 |
General subdivision | Computer simulation. |
Authority record control number | https://id.loc.gov/authorities/subjects/sh99005300. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Electric power systems |
Authority record control number | https://id.loc.gov/authorities/subjects/sh85041921 |
General subdivision | Simulation methods. |
Authority record control number | https://id.loc.gov/authorities/subjects/sh99005303. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Electric power systems |
General subdivision | Mathematical models. |
Authority record control number | https://id.loc.gov/authorities/subjects/sh2008102904. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Sun, Kai, |
Dates associated with a name | 1976- |
Authority record control number | https://id.loc.gov/authorities/names/no2018100872 |
Relator term | editor. |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | Ohio Library and Information Network. |
Authority record control number | https://id.loc.gov/authorities/names/no95058981. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Print version: |
Title | Power system simulation using semi-analytical methods |
Place, publisher, and date of publication | Hoboken, New Jersey : Wiley-IEEE Press, [2024] |
International Standard Book Number | 9781119988014 |
Record control number | (DLC) 2023025316. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Public note | Connect to resource |
Uniform Resource Identifier | https://rave.ohiolink.edu/ebooks/ebc2/9781119988045 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Public note | Connect to resource |
Uniform Resource Identifier | https://onlinelibrary.wiley.com/doi/book/10.1002/9781119988045 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Public note | Connect to resource (off-campus) |
Uniform Resource Identifier | https://go.ohiolink.edu/goto?url=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119988045 |
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