Electric Power System Applications of OptimizationA study of electric power system applications of optimization. It highlights essential trends in optimizational and genetic algorithms; linear programming; interior point methods of linear, quadratic, and non-linear systems; decomposition and Lagrange relaxation methods; unit commitment; optimal power flow; Var planning; and hands-on applications. |
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Very unhelpful book. I wonder how piracy is being monitored in America. This book has lots of plagiarise ideas. The author does not even know the what is in the book well. His graduate studnets plagiarise online resources to make up this book. Avoid this book at all cost, it is of no use!!!. I am saying so because I have taken the author's course in optimization in Howard U, DC and know very well that he does not write books but uses graduate students to plagiarise his books.
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good book..
Contents
Introduction | 1 |
Electric Power System Models | 19 |
PowerFlow Computations | 65 |
Constrained Optimization and Applications | 119 |
Linear Programming and Applications | 143 |
Interior Point Methods | 197 |
Nonlinear Programming | 229 |
Dynamic Programming | 257 |
Illustrative Example of the Decomposition Technique | 329 |
Conclusions | 336 |
References | 338 |
Optimal Power Flow | 339 |
OPFFuel Cost Minimization | 340 |
OPFActive Power Loss Minimization | 344 |
OPFVAr Planning | 349 |
OPFAdding Environmental Constraints | 358 |
Characteristics of Dynamic Programming | 260 |
Optimality | 261 |
Formulation of Dynamic Programming | 263 |
Backward and Forward Recursion | 268 |
Computational Procedure in Dynamic Programming | 278 |
Computational Economy in DP | 279 |
Conversion of a Final Value Problem into an Initial Value Problem | 282 |
Conclusions | 287 |
Problem Set | 288 |
References | 291 |
Lagrangian Relaxation | 293 |
Concepts | 294 |
The Subgradient Method for Setting the Dual Variables | 295 |
Setting Tk | 302 |
Comparison with Linear ProgrammingBased Bounds | 307 |
An Improved Relaxation | 309 |
Summary of Concepts | 310 |
Past Applications | 311 |
Summary | 313 |
Illustrative Examples | 320 |
Conclusions | 321 |
Problem Set | 322 |
References | 323 |
Decomposition Method | 325 |
Formulation of the Decomposition Problem | 326 |
Algorithm of Decomposition Technique | 328 |
Commonly Used Optimization Technique LP | 360 |
Commonly Used Optimization Technique NLP | 373 |
Illustrative Examples | 387 |
Conclusions | 394 |
Problem Set | 395 |
References | 397 |
Unit Commitment | 401 |
Formulation of Unit Commitment | 403 |
Optimization Methods | 406 |
Illustrative Example | 410 |
Updating ant in the Unit Commitment Problem | 422 |
Unit Commitment of Thermal Units Using Dynamic Programming | 425 |
Illustrative Problems | 434 |
Problem Set | 436 |
| 441 | |
Genetic Algorithms | 443 |
Definition and Concepts Used in Genetic Computation | 444 |
Genetic Algorithm Approach | 446 |
Theory of Genetic Algorithms | 449 |
The Schemata Theorem | 452 |
General Algorithm of Genetic Algorithms | 454 |
Application of Genetic Algorithms | 455 |
Application to Power Systems | 457 |
Illustrative Examples | 469 |
Epilog | 473 |
Common terms and phrases
active additional algorithm angle application approach assume basic bound bus voltages buses calculated called Consider constant constraints continuous converge cost decision defined depends determine dual dynamic programming electric elements equal equation example existing expressed feasible feasible solution Figure formulation frequency given hour illustrative incremental initial integer interior point involves iteration limits linear programming load loss matrix Maximize maximum Minimize multipliers nonlinear objective function obtained operating optimal optimal solution optimum output phase planning population positive power flow power system presented problem procedure quadratic reactive power referred represent reserve respectively result satisfy schedule selected shown simplex method slack solution solve specified stage Step studies Subject subproblems TABLE techniques tion transformer transmission unit unit commitment usually variables vector voltage
Bibliographic information
| Title | Electric Power System Applications of Optimization Power Engineering (Willis) |
| Author | James A. Momoh |
| Edition | illustrated |
| Publisher | CRC Press, 2000 |
| ISBN | 0824791053, 9780824791056 |
| Length | 494 pages |
| Subjects | › › Technology & Engineering / Electrical Technology & Engineering / Electronics / General Technology & Engineering / Power Resources / General |
| Export Citation | BiBTeX EndNote RefMan |