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Frequency Regulation of Grid
Connected Solar PV System
Using Battery Storage
THE CAIN PROJECT
Supervisor: Dr. Ali Q. Al-Shetwi
1
Faisal Mohammed Ahamd 202011033
Fahad Thaar Alotaibi 202212014
Naif Abdullah Alsairy 202211219
2
Content
1 • Project Scope
2 • Problem Statement
3 • Objectives
4 • Previous works
5 • System Design
7 • Project Management
• Conclusion
3
Project Scope
 The scope of this project is to cover a comprehensive
exploration and implementation of technologies aimed
at enhancing the stability and performance of grid-
connected solar photovoltaic (PV) systems.
 High PV-enriched grid faces frequency instability,
voltage instability, and power quality issues following a
disturbance.
 Among these issues, frequency stability is a prominent
factor that needs careful consideration.
4
Problem Statement
 The increasing integration of solar photovoltaic systems
into the electrical grid represents a significant stride
toward sustainable energy sources.
 One of the critical issues confronting grid operators is the
impact of solar PV integration on frequency stability
within the power grid.
 Intermittency of Solar Power Generation
 Lack of Inertia in Solar PV Systems
 Grid Imbalance During Rapid Changes in Solar Generation
 Impact on Overall Grid Resilience
 Grid Reliability and Security
 Compliance with Regulatory Standards
5
Project description
 The proposed solution focuses on integrating battery
storage systems with solar PV installations to enhance
grid stability and mitigate frequency fluctuations.
 The core of the proposed solution involves the
integration of advanced battery storage systems with
grid-connected solar PV installations.
 These batteries serve as a dynamic energy buffer,
absorbing excess energy during periods of high solar
generation and releasing stored energy during periods
of low or variable generation.
6
Project Benefits
 The main benefits of this project are:
 Grid Stability Enhancement
 Improved Power Quality
 Integration of Renewable Energy
 Reduction in Grid Instabilities
 Enhanced Grid Resilience
 Reduced Dependence on Conventional Power
Plants
 Economic Benefits
 Environmental Impact
7
Related Works
Authors propose a gradient descent-based optimization
method to determine the optimum deloading of PV
systems.
The optimization considers both frequency response
constraints and operating cost constraints.
8
Related Works
 In this work the frequency regulation strategy of large-
scale battery energy storage in the power grid system
from the perspectives of battery energy storage.
 The droop control based on logistic function and the
virtual inertia control based on piecewise function are
proposed for battery energy storage frequency
regulation
System Design
9
9
Operation Modes: Charging
Mode
 During high solar irradiance, surplus energy is used to
charge the battery.
 Charging is controlled by a Maximum Power Point
Tracking (MPPT) algorithm to optimize the charging
efficiency.
10
10
Operation Modes: Discharging
Mode
 During periods of low solar irradiance or high energy
demand, the stored energy in the battery is discharged
to the grid.
 The discharging process is managed to maintain grid
frequency within acceptable limits.
11
11
Frequency control
12
12
Project management
13
13
Conclusion
14
14
 In the pursuit of a more sustainable and resilient energy
landscape, this project focusing on the frequency
regulation of a grid-connected solar photovoltaic (PV)
system utilizing battery storage has show-cased
significant advancements and contributions.
 As we reflect on the key findings and outcomes, several
crucial insights emerge, underscoring the importance of
this innovative endeavour.
Conclusion
15
15
 The Frequency regulation of grid-connected solar PV
system using battery storage project stands as a
demonstration to the transformative potential of
combining renewable energy and energy storage
technologies.
 As future work we propose to implement and test the
proposed system design on Matlab and evaluate its
performance.
16

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Frequency Regulation of Grid Connected Solar PV System Using Battery Storage System.ppt

  • 1. Frequency Regulation of Grid Connected Solar PV System Using Battery Storage THE CAIN PROJECT Supervisor: Dr. Ali Q. Al-Shetwi 1 Faisal Mohammed Ahamd 202011033 Fahad Thaar Alotaibi 202212014 Naif Abdullah Alsairy 202211219
  • 2. 2 Content 1 • Project Scope 2 • Problem Statement 3 • Objectives 4 • Previous works 5 • System Design 7 • Project Management • Conclusion
  • 3. 3 Project Scope  The scope of this project is to cover a comprehensive exploration and implementation of technologies aimed at enhancing the stability and performance of grid- connected solar photovoltaic (PV) systems.  High PV-enriched grid faces frequency instability, voltage instability, and power quality issues following a disturbance.  Among these issues, frequency stability is a prominent factor that needs careful consideration.
  • 4. 4 Problem Statement  The increasing integration of solar photovoltaic systems into the electrical grid represents a significant stride toward sustainable energy sources.  One of the critical issues confronting grid operators is the impact of solar PV integration on frequency stability within the power grid.  Intermittency of Solar Power Generation  Lack of Inertia in Solar PV Systems  Grid Imbalance During Rapid Changes in Solar Generation  Impact on Overall Grid Resilience  Grid Reliability and Security  Compliance with Regulatory Standards
  • 5. 5 Project description  The proposed solution focuses on integrating battery storage systems with solar PV installations to enhance grid stability and mitigate frequency fluctuations.  The core of the proposed solution involves the integration of advanced battery storage systems with grid-connected solar PV installations.  These batteries serve as a dynamic energy buffer, absorbing excess energy during periods of high solar generation and releasing stored energy during periods of low or variable generation.
  • 6. 6 Project Benefits  The main benefits of this project are:  Grid Stability Enhancement  Improved Power Quality  Integration of Renewable Energy  Reduction in Grid Instabilities  Enhanced Grid Resilience  Reduced Dependence on Conventional Power Plants  Economic Benefits  Environmental Impact
  • 7. 7 Related Works Authors propose a gradient descent-based optimization method to determine the optimum deloading of PV systems. The optimization considers both frequency response constraints and operating cost constraints.
  • 8. 8 Related Works  In this work the frequency regulation strategy of large- scale battery energy storage in the power grid system from the perspectives of battery energy storage.  The droop control based on logistic function and the virtual inertia control based on piecewise function are proposed for battery energy storage frequency regulation
  • 10. Operation Modes: Charging Mode  During high solar irradiance, surplus energy is used to charge the battery.  Charging is controlled by a Maximum Power Point Tracking (MPPT) algorithm to optimize the charging efficiency. 10 10
  • 11. Operation Modes: Discharging Mode  During periods of low solar irradiance or high energy demand, the stored energy in the battery is discharged to the grid.  The discharging process is managed to maintain grid frequency within acceptable limits. 11 11
  • 14. Conclusion 14 14  In the pursuit of a more sustainable and resilient energy landscape, this project focusing on the frequency regulation of a grid-connected solar photovoltaic (PV) system utilizing battery storage has show-cased significant advancements and contributions.  As we reflect on the key findings and outcomes, several crucial insights emerge, underscoring the importance of this innovative endeavour.
  • 15. Conclusion 15 15  The Frequency regulation of grid-connected solar PV system using battery storage project stands as a demonstration to the transformative potential of combining renewable energy and energy storage technologies.  As future work we propose to implement and test the proposed system design on Matlab and evaluate its performance.
  • 16. 16