Research on frequency modulation of thermal power units combined with compressed air energy storage based on model predictive control

 

Enhancing Grid Stability: Integrating Thermal Power Units with Compressed Air Energy Storage via Model Predictive Control

Introduction

As the global energy landscape shifts towards renewable sources, maintaining grid stability becomes increasingly challenging. Traditional thermal power units, known for their steady output, struggle to adapt swiftly to the variability introduced by renewables. Integrating Compressed Air Energy Storage (CAES) systems with these units, managed through Model Predictive Control (MPC), offers a promising solution to this challenge.


Understanding the Components

Thermal Power Units: These are conventional power plants that generate electricity by converting heat energy, typically from fossil fuels, into electrical energy. While reliable, their response to rapid load changes is limited.

Compressed Air Energy Storage (CAES): CAES systems store energy by compressing air and storing it in underground caverns or tanks. During peak demand, the compressed air is released to drive turbines, generating electricity. This method allows for large-scale energy storage and quick response times.

Model Predictive Control (MPC): MPC is an advanced control strategy that uses a model of the system to predict future behavior and optimize control actions accordingly. In the context of power systems, MPC can manage the coordination between thermal units and CAES to ensure optimal performance.

The Synergy of Integration

By combining thermal power units with CAES and managing them through MPC, the system can:

  • Enhance Frequency Regulation: CAES can quickly inject or absorb power, compensating for the slower response of thermal units, thus maintaining grid frequency within desired limits.

  • Optimize Energy Dispatch: MPC can forecast demand and adjust the output of both thermal units and CAES, ensuring efficient energy use and reducing operational costs.

  • Improve System Reliability: The integrated system can better handle sudden load changes or renewable energy fluctuations, reducing the risk of blackouts.

Visual Representation

To better understand the integration, consider the following schematic:

Model Predictive Control with Adaptive Control and Supervisory Optimization

Figure: A schematic representation of MPC managing the integration between thermal power units and CAES.

Case Studies and Research

Recent studies have explored this integration:

  • A study on Joint Frequency Modulation Control Method for Energy Storage Thermal Power Units Based on SOC Prediction highlights the benefits of combining thermal units with energy storage for frequency regulation.

  • Research on Simulation of the Primary Frequency Modulation Process of Thermal Power Units with the Auxiliary of Flywheel Energy Storage demonstrates the effectiveness of energy storage in enhancing the frequency response of thermal units.

Conclusion

Integrating thermal power units with CAES, managed through MPC, presents a robust solution to the challenges posed by renewable energy integration. This synergy enhances grid stability, optimizes energy dispatch, and improves overall system reliability.


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