New PDF release: Applied Mathematics for Restructured Electric Power Systems:

By Joe H. Chow, Felix F. Wu, James A. Momoh

ISBN-10: 0387234705

ISBN-13: 9780387234700

Utilized arithmetic for Restructured electrical energy structures: Optimization, keep an eye on, and Computational Intelligence contains chapters in accordance with paintings provided at a countrywide technology origin workshop equipped in November 2003. The subject of the workshop was once using utilized arithmetic to resolve tough energy method difficulties. The components incorporated keep watch over, optimization, and computational intelligence. as well as the introductory bankruptcy, this publication contains 12 chapters written through popular specialists of their revered fields. each one bankruptcy follows a three-part structure: (1) an outline of an immense strength approach challenge or difficulties, (2) the present perform and/or specific examine ways, and (3) destiny learn instructions. jointly, the technical components mentioned are voltage and oscillatory balance, energy procedure protection margins, hierarchical and decentralized regulate, balance tracking, embedded optimization, neural community keep watch over with adaptive critic structure, regulate tuning utilizing genetic algorithms, and cargo forecasting and part prediction. This quantity is meant for strength structures researchers and pros charged with fixing electrical and tool procedure problems.

Table of Contents

Cover

Applied arithmetic for Restructured electrical energy Systems:
Optimization, regulate, and Computational Intelligence

Copyright - ISBN: 0387234705

Contents

List of Figures

List of Tables

Preface

Contributing Authors

1 utilized arithmetic for Restructured electrical strength Systems

1 Introduction
2 Workshop Presentations
three Synopses of the Articles during this Compilation
four Conclusions

2 Reactive energy and Voltage keep watch over concerns in electrical energy Systems

1 Introduction
2 Reactive Power
three Reactive energy in Operations
four A basic Illustration
five demanding situations in Voltage regulate and similar Security
6 Conclusions

3 id of vulnerable destinations utilizing Voltage balance Margin
Index

1 Introduction
2 simple Mathematical Model
three program of the hot strategy to huge Scale energy Systems
four Simulation Results
five Conclusions
6 destiny Work

4 Bifurcation and Manifold dependent strategy for Voltage and Oscillatory
Stability evaluation and Control

1 Introduction
2 identity of Saddle Node, Hopf Bifurcation, and Damping
Margins
2.1 id of serious eigenvalue
2.2 Damping margin identification
2.3 Example
three Tracing Margin Boundaries
3.1 Boundary predictor
3.2 Boundary corrector
3.3 Computation result
four extra Extensions
4.1 optimum margin boundary: expense established security
4.2 quickly and gradual time scales
4.3 effect on strength method security
five learn Needs

5 online ATC evaluate for Large-Scale energy platforms: Framework and
Tool

1 Introduction
2 move Capability
three Transaction-Dependent ATC
four approach Modeling
five establish serious Contingencies for Static Security
6 Estimating Load Margins to nostril Points
7 Estimating Load Margins to Static defense Violations
eight determine serious Contingencies for Dynamic Security
nine resolution Algorithm
10 Numerical Studies
eleven Conclusions

6 Automating Operation of huge electrical energy platforms Over Broad
Ranges of Supply/Demand and kit Status

1 Introduction
2 electrical strength Grids as advanced community Systems
2.1 Assumptions underlying latest operation of hierarchical
systems
2.2 Implications of violating monotone response
2.3 the most important problem: tracking and keep watch over outside
monotone reaction approach conditions
three present working perform: difficulties and Open Questions
3.1 old difficulties of working below stress
3.2 a few attainable ideas and their shortcomings
four Multi-Layered Modeling, Estimation and regulate technique to
coping with electrical strength Networks Over extensive levels of Operating
Conditions
4.1 complete non-linear dynamics of electrical strength systems
4.2 Disturbance- and control-driven multi-layered models
4.3 A large-scale quasi-stationary model
4.4 Multi-layered process constraints
five Multi-Layered Estimation and Control
5.1 Quasi-stationary country estimators
5.2 Multi-layered keep an eye on approach
5.3 automatic temporary dispatch and unit dedication over
huge levels of stipulations and kit status
5.4 specific case: latest hierarchical control
6 Structural Spatial Aggregation: dealing with huge Network
Complexity by way of Systematic Estimation and Control
6.1 Quasi-stationary nation estimators
7 Conclusions and Open Questions

7 powerful keep an eye on of huge energy platforms through Convex Optimization

1 Introduction
2 Exciter keep an eye on layout utilizing Linear Matrix Inequalities
three a few Simulation Results
four New examine Directions
4.1 layout of decentralized output control
4.2 Coordinated layout of energy process stabilizers and robust
feedback
4.3 keep an eye on layout with details trade between
subsystems
five Conclusions

8 Instability tracking and keep an eye on of energy Systems

1 Introduction
2 Participation Factors
2.1 Modal participation factors
2.2 Input-to-state participation factors
three Precursor-Based Monitoring
four Case Studies
4.1 Single-generator procedure with dynamic load
4.2 unmarried generator hooked up to an unlimited bus
4.3 Three-generator nine-bus strength system
five Conclusions and advised destiny Research
Appendix: Parameter Values for the turbines in Sections 4.1 and
4.2

9 Dynamic Embedded Optimization and capturing equipment for strength System
Performance Assessment

1 Introduction
2 Model
2.1 Hybrid systems
2.2 Trajectory sensitivities
three Dynamic Embedded Optimization
four taking pictures Methods
4.1 restrict cycles
4.2 Grazing phenomena
five demanding situations in Dynamic functionality Enhancement
6 Conclusions

10 Computational Intelligence strategies For keep an eye on of evidence Devices

1 Introduction
2 proof units and standard Control
2.1 Static Compensators (STATCOM)
2.2 Static Synchronous sequence Compensator (SSSC)
2.3 Unified energy circulation Controller (UPFC)
three Adaptive Neurocontrol of proof Devices
3.1 Neuroidentifier
3.2 Neurocontroller
3.3 wanted reaction predictor
3.4 Adaptive neurocontrol of a STATCOM dependent energy system
3.5 Adaptive neurocontrol of a UPFC dependent energy system
four optimum Neurocontrol with Adaptive Critic Designs
4.1 optimum DHP neurocontrol of a Static Synchronous Series
Compensator (SSSC)
five Conclusions
6 destiny Research

11 Placement and Coordinated Tuning of regulate units for Capacity
and safeguard Enhancement utilizing Metaheuristics

1 Introduction
2 challenge Formulation
2.1 the location problem
2.2 The coordinated tuning problem
2.3 The mixed placement and tuning problem
three The Metaheuristcs Approach
four optimum safeguard units Placement in Distribution Networks
4.1 Proposed approach
4.2 Genetic set of rules formulation
4.3 Computational results
five Coordinated Tuning of strength approach Controls
5.1 challenge formulation
5.2 strong tuning utilizing GAs
5.3 attempt results
5.4 suggestions sign selection
5.5 strong decentralized control
5.6 Time simulation results
6 Conclusions and extra Developments
Appendix: Genetic Algorithms

12 Load Forecasting

1 Introduction
2 very important elements for Forecasts
three Forecasting Methods
3.1 Medium- and long term load forecasting methods
3.2 temporary load forecasting methods
four destiny learn Directions
five Conclusions

13 self reliant part research strategies for strength procedure Load
Estimation

1 Introduction
2 self sufficient part Analysis
2.1 ICA resource estimation model
2.2 ICA resource assumptions
2.3 goal features for the maximization of source
independence
2.4 FastICA resource estimation algorithm
three program of ICA for Load Profile Estimation
3.1 Linear blending types for load profile estimation
3.2 Preprocessing of load profile data
3.3 casting off indeterminacy of ICs
3.4 FastICA dependent load profile estimation algorithm
four Case Studies
4.1 facts generation
4.2 blunders measures
4.3 effects for energetic load profile estimation
4.4 effects for reactive load profile estimation
4.5 effects for harmonic load profile estimation
five Conclusions
6 destiny Research

Index

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Extra info for Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence

Sample text

Simplify large scale power system to equivalent two-bus system. As the voltage stability problem is mostly a local area problem, the system can be represented by a two-bus system for the given transmission line, provided the following conditions are kept the same. 1 The sending-end voltage E,. 2 The receiving-end voltage Er. 3 The angular difference between the sending- and receiving-end bus voltages. + jQ,. 5 The receiving-end power flow of P, + jQ,. u. 2 The X / R ratio of the source impedance from the equivalent sendingend infinite bus to the sending-end bus is equal to that of the transmission line.

The equations for the mathematical formulation of the new approach are shown in Section 3. The application of the method to a large scale power system is described in Section 4. Simulation results are presented in Section 5. Conclusions are given in Section 6. 2. Basic Mathematical Model The basic concepts of this new approach can be explained with a simple two-bus system. 1. 1. A simple two-bus system. 1 has an infinite bus with the voltage of E,, a load bus with the voltage of E,, and a transmission line with the impedance of j X .

The reactive power into the line from the shunt capacitance charging is exactly equal to the reactive power consumed by the series inductance losses. 1. 1. 0 SIL. 0 SIL is the "ideal" loading for a transmission line. In very early work on the analysis of transmission line loading capabilities, St. Clair created a composite curve which provided the maximum loading for transmission lines in terms of SIL and line length in miles [7]. The bounds on loading in the St. Clair curve consider three phenomena - thermal, voltage, and stability.

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Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence by Joe H. Chow, Felix F. Wu, James A. Momoh


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