Power System Frequency Control: Modeling and Advances

Front Cover
Power System Frequency Control: Modeling and Advances
Copyright
Contents
Contributors
Chapter 1: Fundamentals of load frequency control in power system
1.1. Basic concepts
1.2. AGC in a modern area power network
1.3. Power network frequency loop
1.3.1. Primary loop
1.3.2. Secondary loop
1.3.3. Emergency loop
1.4. Individual model of the AGC system
1.4.1. Generator model
1.4.2. Load model
1.4.3. Turbine model
1.4.4. Governor model
1.4.5. Tie-line model
1.5. Structure of the AGC system
1.5.1. Power system interconnection and its significance
1.5.2. Single-area model
1.5.3. Multiarea model
1.5.4. Multiarea extension model
Appendix 1: AGC parameters and values
References
Chapter 2: Controller design for load frequency control: Shortcomings and benefits
2.1. Introduction
2.2. Traditional control design
2.2.1. Control design with reheat
2.2.2. Extension of two area with reheat and HVDC-link
2.3. Shortcomings of the traditional controller
2.4. The need for an advanced control method
2.5. Controller
2.5.1. PI controller
2.5.2. PID controller
2.5.3. IDDF controller
2.5.4. TIDF controller
2.5.5. FOPID controller
2.6. Objective function
2.6.1. Area control error (ACE)
2.6.2. Integral absolute error (IAE)
2.6.3. Integral time absolute error (ITAE)
2.6.4. Integral square error (ISE)
2.6.5. Integral square error (ISE)
Appendix
[A] Matrix
[A] Matrix values
[B] Matrix
[B] Matrix values
Disturbances matrix [τ]
[τ] Matrix values
References
Chapter 3: Transient/sensitivity/stability analysis of load frequency control
3.1. Introduction
3.2. Transient analysis
3.2.1. Single-area AGC network
3.2.2. Two equal-area AGC network
3.2.3. Case-1: AC-link
3.2.4. Case-2: AC-DC link
3.2.5. Two-unequal area AGC network
3.2.6. AC-link
3.2.7. AC-DC link
3.2.8. Three area AGC network
3.2.9. Five area AGC network
3.3. Sensitivity analysis
3.3.1. Parameter variation
3.3.2. Random loading
3.4. Stability analysis
3.4.1. State-space analysis
3.4.2. Transfer function-based analysis
References
Chapter 4: Significance of ancillary devices for load frequency control
4.1. Introduction
4.2. Thyristor-controlled series capacitor (TCSC)
4.3. Static synchronous series compensator (SSSC)
4.4. Unified power flow controller (UPFC)
4.5. Interline power flow controller (IPFC)
4.6. Summary
References
Chapter 5: Challenges and viewpoints of load frequency control in deregulated power system
5.1. Introduction
5.2. Transient response analysis of AGC with a deregulated environment
5.2.1. Scenario-1: Unilateral transaction
5.2.2. Scenario-1: Bilateral transaction
5.2.3. Scenario-3: Contract violation
5.3. Summary
References
Chapter 6: Battery energy storage contribution to system frequency for grids with high renewable energy sources penetration
6.1. Introduction
6.2. The fast frequency regulation
6.2.1. The Italian fast reserve
6.3. The proposed methodology
6.3.1. The BESS model
6.3.2. Fast reserve by BESS in the Italian system
6.3.3. The selection of the frequency event
6.3.4. The imbalance reconstruction
6.3.5. The performed simulations
6.4. Results
6.4.1. Discussion
6.5. Conclusions
References
Chapter 7: The power grid load frequency control method combined with multiple types of energy storage system
7.1. Introduction
7.2. Model of load frequency control
7.2.1. Model of system frequency response
7.2.2. Model of LFC components
7.3. Model of PPS-HESS combined control
7.3.1. PPS control system
7.3.2. HESS control system
7.3.2.1. Battery FR model
7.3.2.2. Supercapacitor FR model
7.3.3. PPS-HESS control system
7.4. Design of controller
7.4.1. FOPID control
7.4.2. Optimization model
7.4.2.1. Optimization of the objective function
7.4.2.2. Optimization of processes
7.5. Analysis of simulation
7.5.1. Pumping operation
7.5.2. Generating operation
7.6. Conclusion
References
Chapter 8: Sophisticated dynamic frequency modeling: Higher order SFR model of hybrid power system with renewable generation
8.1. Introduction
8.2. Frequency dynamic response characteristics
8.3. Traditional second-order SFR model
8.4. Modeling and analysis of the higher order SFR model
8.4.1. The higher order SFR model
8.4.2. Influence analysis of model parameters
8.4.3. Parameters equivalence method of higher order SFR model
8.4.4. Simulation and analysis
8.4.4.1. Single-generator with load system
8.4.4.2. IEEE 3-generator 9-bus system
Case 1: Load disturbance
Case 2: Generator trip
8.5. Higher order SFR model of hybrid power systems
8.5.1. Parameters adjustment
8.5.2. Testing and analysis
Case: Sudden load disturbance
8.6. Correction of mixture proportion parameter in higher order SFR model
8.6.1. Higher order SFR model with mixture proportion parameter
8.6.1.1. Simplified hydraulic turbine speed control system
8.6.1.2. Wind turbine speed control system
8.6.1.3. Model with mixture proportion parameter
8.6.2. Parameter correction
8.6.3. Testing and analysis
8.6.3.1. Accuracy analysis of frequency response for load sudden change
Case 1
8.6.3.2. Model suitability analysis under different load disturbance
Case 2
8.6.3.3. Model suitability analysis under different power generation penetration
Case 3
8.7. Summary
Acknowledgment
References
Chapter 9: Application of neural network based variable fractional order PID controllers for load frequency control in is ...
9.1. Introduction
9.2. Isolated HMG configuration and mathematical modeling
9.2.1. System structure
9.2.2. WTG model
9.2.3. PV model
9.2.4. FC model
9.2.5. DLC model
9.2.6. Frequency deviation model
9.3. (FO)PID controllers, actions, and tuning rules
9.3.1. Control actions
9.3.2. Tuning rules
9.4. The proposed (FO)PID-based LFC: Multiagent NN-based online tuning approach
9.4.1. Coordinated control strategy
9.4.2. NN-based online tuner
9.4.3. SRL-based training for multiple agents
9.5. Simulation results
9.6. Conclusion
Acknowledgments
References
Chapter 10: Coordinated tuning of MMC-HVDC interconnection links and PEM electrolyzers for fast frequency support in&spi
10.1. Introduction
10.2. Theoretical background
10.2.1. Modeling and control of the MMC-HVDC links
10.2.2. Modeling and control of PEM electrolyzers
10.3. Optimization problem formulation
10.4. The mean variance optimization algorithm
10.5. The test system
10.6. Simulation study and results
10.6.1. Simulation method and workflow
10.6.2. Simulation Event and Operational Scenarios
10.6.3. Optimization results
10.6.3.1. Scenario 1
10.6.3.2. Scenario 2
10.6.3.3. Scenario 3
10.6.3.4. Scenario 4
10.7. Discussion
10.8. Conclusions
References
Chapter 11: Under-frequency load shedding control: From stage-wise to continuous
11.1. Introduction
11.2. Under-frequency load shedding: Concepts and cases
11.2.1. Conventional under-frequency load shedding
11.2.2. Some cases with UFLS activated
11.2.3. From stage-wise scheme to continuous scheme
11.3. Performance of continuous under-frequency load shedding
11.3.1. Analytical frequency response with continuous UFLS
11.3.2. Characteristic of continuous UFLS
11.4. Implementation of continuous under-frequency load shedding
11.4.1. Impact of nonlinear factors on continuous UFLS
11.4.2. Improved continuous UFLS scheme
11.4.3. Implementation with precise load control
11.4.4. Tuning of continuous UFLS
11.5. Applications
11.6. Conclusions
References
Chapter 12: Emergency active-power balancing scheme for load frequency control
12.1. Introduction
12.2. Electric-power system response to active-power imbalance
12.2.1. Synchronous machine
12.2.2. Active-power imbalance distribution
12.2.3. Consumption
12.2.4. Converter-interfaced generation
12.3. Emergency active-power balancing
12.3.1. Measurements
12.3.2. Methodology
12.3.2.1. Conventional
12.3.2.2. Imbalance estimation
12.3.2.3. System frequency response model
12.3.2.4. Predictive techniques
12.3.2.5. Other advanced techniques
12.3.3. Actions
12.4. Challenges and a way forward
12.4.1. Challenges
12.4.2. Recommendations for the future
References
Chapter 13: Keeping an eye on the load frequency control implementation using LabVIEW platform
13.1. Introduction
13.2. Overview of LabVIEW
13.3. Elements and functions
13.3.1. Wires
13.3.2. Structures
13.3.3. Control palette
13.3.4. Function palette
13.3.5. Tool palette
13.3.6. Arrays
13.4. Control system toolbox
13.5. Case study
13.5.1. Transient analysis
13.5.1.1. Test network 1
13.5.1.2. Test network 2
13.5.1.3. Test network 3
13.5.1.4. Stability analysis of proposed LFC model realized in Labview
References
Chapter 14: An overview of the real-time digital simulation platform and realization of multiarea multisource load f
14.1. Introduction
14.2. Real-time emulator
14.3. Why use real-time simulation
14.4. RT-LAB system architecture
14.4.1. Software architecture
14.5. Real-time validation steps
14.5.1. Execution process
14.6. Real-time study using OPAL-RT
14.7. Conclusions
References
Chapter 15: Design and testing capabilities of low-inertia energy system-based frequency control using Typhoon HIL real-tim
15.1. Introduction
15.2. Type of real-time configurations in Typhoon HIL environment
15.3. Cost and fidelity analysis of different configurations
15.3.1. Frequency measurements and studies in Typhoon HIL
15.4. Flow chart of workflow for Typhoon HIL real-time simulation
15.5. Communication protocols
15.6. Results and analysis: Active distribution network under study
15.7. Conclusion
References
Index
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