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Energy management

Innovative Power System Design for Renewable Energy Integration

Strategic Insights

— 2 min read

Research from the North China Electric Power University has explored the need for novel power systems that primarily rely on renewable energy sources, crucial for China's pursuit of carbon peaking and neutrality targets. The study proposes an innovative charge-discharge control methodology to integrate compressed air energy storage systems with thermal power units, enhancing frequency modulation capabilities and mitigating power fluctuations. This approach aims to fortify the power system's resilience and stability, facilitating a smooth transition towards renewable energy dominance.

Key Takeaways:

  • The research introduces a novel power system design that integrates thermal power units with compressed air energy storage systems to enhance frequency modulation capabilities.
  • The proposed control strategy utilizes model predictive control (MPC) to refine the energy charge and discharge process, taking into account the state of charge (SOC) of the compressed air energy storage system.
  • The study evaluates the effectiveness of the proposed strategy under two scenarios: step disturbance and continuous disturbance.
  • Results show a 21.9% reduction in maximum frequency deviation following step disturbances and a 52.2% decrease in steady-state frequency deviation.
  • The proposed strategy also mitigates TPU output power fluctuations under continuous disturbances, reducing them by 37.5%.
  • The research highlights the potential of the proposed methodology in alleviating the frequency modulation burden on TPUs, contributing to their secure and stable operation in the evolving power system landscape.
  • The study establishes fundamental transfer function models for thermal power units and the compressed air energy storage system to simulate and evaluate the frequency modulation model of a two-area power grid.
  • The power adaptive allocation strategy is formulated with nonlinear signal decomposition techniques, enabling adaptive power distribution between TPUs and CAES.
  • The research concludes that the proposed strategy is more effective than traditional TPU-only frequency modulation, demonstrating its potential in supporting the integration of renewable energy sources.

Statistics:

  • 21.9% reduction in maximum frequency deviation following step disturbances
  • 52.2% decrease in steady-state frequency deviation
  • 37.5% mitigation of TPU output power fluctuations under continuous disturbances
  • 2 scenarios evaluated: step disturbance and continuous disturbance
  • 2-area power grid simulation model developed
  • 4 fundamental transfer function models established: for TPU and CAES systems
  • 1 control strategy proposed: using model predictive control (MPC)
  • 1 power adaptive allocation strategy formulated: with nonlinear signal decomposition techniques

Sources:

  • Research on frequency modulation of thermal power units combined with compressed air energy storage based on model predictive control. International Journal of Electrical Power & Energy Systems, 2025, 168():110646.
  • International Journal of Electrical Power & Energy Systems. Publisher: Elsevier.
  • A free version of this journal article is available at https://doi-org.sdpl.idm.oclc.org/10.1016/j.ijepes.2025.110646.

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