Huihui Song

  • Huihui Song received the Ph.D. degree in power electronics and electrical drive specialty from Harbin Institute of Technology, China, in 2012. Then she joined the power and renewable energy laboratory in the school of information and electrical engineering, Harbin Institute of Technology at Weihai, where she is presently an associate professor. Her research interests include nonlinear modeling and control of renewable energy system, energy storage system and Microgrid, and distributed control based on graph theory for networks.

     

    Academic Career:

    Mar. 2008-  Apr. 2012   Ph. D.  Power Electronics and Electrical Drive, Harbin Institute of Technology, China

    Apr. 2014- Now  Master’s  Supervisor. School of  Electrical Engineering and Automation.

    Aug. 2015- Now  Associate Professor.  School of  Electrical Engineering and Automation.

    Research Interests:

    Nonlinear control strategy of Renewable energy system, Energy Storage system & Microgrid

    Distributed control based on Multi-agent system in Power system & smart grid

    Recent research Projects:

    1. Hamiltonian Modeling and Energy-shaping Control of Doubly-fed Wind Power System, Jan. 2011-Dec. 2013 supported by NSFC.
    2. Switched Hamiltonian system modeling of doubly-fed wind power system and energy-shaping control strategy for its low voltage ride-through, Jan. 2015-Dec. 2017 supported by NSFC.
    3. Energy-shaping coordination control strategy for energy storage systems in microgrid, Jul. 2015-Jun. 2017 supported by NSCF-NRF.

    Publications:

    1. H. H. Song, Y. B. Qu*. Energy-based modeling and control of wind energy conversion system with DFIG, International Journal of Control,84(2), pp281-292, 2011(SCI)
    2. Y. B. Qu*, H. H. Song. Energy-based coordinated control of wind energy conversion system with DFIG, International Journal of Control, 84(12), pp2035-2045, 2011(SCI)
    3. H. H. Song, Y. B. Qu*. Energy-based excitation control of doubly-fed induction wind generator for optimum wind energy capture, Wind energy, 16, pp645-659, 2013 (SCI)
    4. 4. X. Li, H. H. Song, Y. B. Qu*, K. Wang. Global exponential stability for stochastic coupled systems on networks with Markovian switching, System & Control Letters, 62(6), pp468-474, 2013 (SCI)
    5. 5. H. Song, D. D. Chen, W. X. Li, Y. B. Qu*, Graph-theoretic approach to exponential synchronization of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays, Neurocomputing, 2016, 177:179-187 (SCI)

    6. H. H. Song, N. N. Xu, Y.B.Qu, W. X. Li*, Weighted input to state stability for delay coupled systems on networks, Applied Mathematical Modelling, 2016, (SCI)

    Electric power grid is the largest synchronized network engineered. It is composed of thousands of interconnected generators that run exactly at the same frequency, and delivers, through its transmission lines, electricity to hundreds of millions of users. For a microgrid in islanded mode, it is challenging to make it stabilize at the desired frequency. A new perspective, describing distributed energy resources (DERs) in microgrid as coupled oscillators is adopted, so that the frequency regulation problem of power networks is converted into oscillators synchronization problem of phase oscillators networks. A novel nonlinear distributed control strategy is derived to stabilize this coupled control system at the desired equilibrium. Simulation results confirm the effectiveness of the proposed approach.

     

 

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