Download Applied Mathematics for Restructured Electric Power Systems: by Joe H. Chow, Felix F. Wu, James A. Momoh PDF

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

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

Table of Contents

Cover

Applied arithmetic for Restructured electrical strength 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 strength and Voltage keep watch over matters in electrical energy Systems

1 Introduction
2 Reactive Power
three Reactive energy in Operations
four A basic Illustration
five demanding situations in Voltage keep watch over and comparable Security
6 Conclusions

3 identity of susceptible destinations utilizing Voltage balance Margin
Index

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

4 Bifurcation and Manifold established strategy for Voltage and Oscillatory
Stability evaluate and Control

1 Introduction
2 identity of Saddle Node, Hopf Bifurcation, and Damping
Margins
2.1 identity 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 additional Extensions
4.1 optimum margin boundary: expense established security
4.2 quick and gradual time scales
4.3 effect on strength procedure security
five learn Needs

5 online ATC overview for Large-Scale strength platforms: Framework and
Tool

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

6 Automating Operation of huge electrical strength platforms Over Broad
Ranges of Supply/Demand and gear Status

1 Introduction
2 electrical energy Grids as complicated community Systems
2.1 Assumptions underlying modern operation of hierarchical
systems
2.2 Implications of violating monotone response
2.3 the foremost 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 less than stress
3.2 a few attainable ideas and their shortcomings
four Multi-Layered Modeling, Estimation and keep an eye on method to
handling electrical strength Networks Over vast levels of Operating
Conditions
4.1 complete non-linear dynamics of electrical energy 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 nation estimators
5.2 Multi-layered keep an eye on approach
5.3 automatic temporary dispatch and unit dedication over
vast levels of stipulations and gear status
5.4 specific case: ultra-modern hierarchical control
6 Structural Spatial Aggregation: dealing with huge Network
Complexity through Systematic Estimation and Control
6.1 Quasi-stationary nation estimators
7 Conclusions and Open Questions

7 powerful keep watch over of enormous strength platforms through Convex Optimization

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

8 Instability tracking and keep watch over of strength 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 method with dynamic load
4.2 unmarried generator hooked up to an unlimited bus
4.3 Three-generator nine-bus energy system
five Conclusions and urged destiny Research
Appendix: Parameter Values for the turbines in Sections 4.1 and
4.2

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

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

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

1 Introduction
2 proof units and traditional Control
2.1 Static Compensators (STATCOM)
2.2 Static Synchronous sequence Compensator (SSSC)
2.3 Unified strength movement 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 established 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 keep an eye on units for Capacity
and safety Enhancement utilizing Metaheuristics

1 Introduction
2 challenge Formulation
2.1 the situation problem
2.2 The coordinated tuning problem
2.3 The mixed placement and tuning problem
three The Metaheuristcs Approach
four optimum security units Placement in Distribution Networks
4.1 Proposed approach
4.2 Genetic set of rules formulation
4.3 Computational results
five Coordinated Tuning of energy method 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 additional Developments
Appendix: Genetic Algorithms

12 Load Forecasting

1 Introduction
2 vital components for Forecasts
three Forecasting Methods
3.1 Medium- and long term load forecasting methods
3.2 non permanent load forecasting methods
four destiny study Directions
five Conclusions

13 self sustaining part research recommendations for strength method Load
Estimation

1 Introduction
2 self sufficient part Analysis
2.1 ICA resource estimation model
2.2 ICA resource assumptions
2.3 aim services for the maximization of source
independence
2.4 FastICA resource estimation algorithm
three program of ICA for Load Profile Estimation
3.1 Linear blending versions for load profile estimation
3.2 Preprocessing of load profile data
3.3 removing indeterminacy of ICs
3.4 FastICA established load profile estimation algorithm
four Case Studies
4.1 facts generation
4.2 mistakes measures
4.3 effects for lively 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 resources for Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence

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We hope that this ordering will serve best a reader intending to study all the articles. The first four articles (Chapters 2-5) are on power system stability. Sauer's article presents an introduction to power system reactive power stability, written in a fashion suitable for non-power engineers. , provides a method to find "weak" buses in a power system, which are vulnerable to voltage collapse. Such constraints can be accounted for dispatch and be considered for future reactive power support enhancement.

Therefore the sending-end VSMI should be used for ranking the voltage stability margin of the line. 9% as the operating point moves along the PV curves. 9%, which is considered to be very low. This indicates that there is no voltage stability margin available for this line to carry more power. This new approach was applied to the other parts of Entergy system for identifying the voltage stability weak locations. The simulation results show that the weak locations or critical transmission lines in the problem area were successfully identified using the proposed approach.

Similarly, Prabha Kundur says [9], "Voltage stability is the ability of a power system to maintain steady acceptable voltages at all buses in the system under normal operating conditions and after being subjected to a disturbance. " Prabha Kundur goes on to say, "The main factor causing instability is the inability of the power system to meet the demand for reactive power. '' These collective statements indicate how widely different the interpretation of the issue of "voltage collapse" can be.

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