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Research

 

Research Themes

 

1Research Areas (Smart Grid Technology)

  • Data Analytics and Intelligent Computation (big data and machine learning)
    • Application of WAMS, big data and signal processing technology in enhancing power system situational awareness (event detection and preventive control)
    • Application of WAMS/PMU and Data Mining/Machine Learning in power system stability margin prediction and operational coordination
    • Energy (Demand/Wind/Solar) forecasting techniques
    • Efficiency improvement of simulation tools
    • Cyber-Physical System Experiment and Simulation
    • Proactive and Predictive Maintenance

 

  • Intelligent Control and Intelligent Optimization
    • Utilize fully distributed control strategy for EV/DER/ESS to be connected to the distribution network/micro-grid to regulate system frequency and voltage and for VSG/VESS to provide dynamic support (intelligent demand side response)
    • Optimal dispatch and control of distributed generations and smart loads based on various constraints of distribution network/Micro-grid with typical uncertainties
    • Electricity, gas and heat energy coordination and synergy in microgrid market
    • Peer to peer transactive energy trading by using new IT technologies
    • Minimization of transmission loss of hybrid AC/VSC-MTDC grids

 

  • Grid Integration of Renewable Energy Sources/Distributed Energy Resources and Power Electronic Converters
    • Apply FACTS/ESS/HVDC/VSG technology to improve system stability, control and operation
      • Hybrid ESS sizing and design to maintain power balancing and system frequency
      • Normal/special HVDC technologies to improve system stability
      • Damping torque analysis of hybrid AC/VSC-HVDC grids and POD controller design
    • Impact assessment of renewable energy integration/penetration
      • Deterministic analysis of power system dynamics considering the controllability/inflexibility of RESs
      • Probabilistic/stochastic analysis of power system dynamics and operation considering the variability/uncertainties of RESs
      • Enhancement of FRT capability of wind power generation

 

 

 

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