About Professor David John Hill

Professor David Hill’s research involves many technical challenges, as the electrical power system of the future will be enormously complex. He enjoys this work because he is interested in complex dynamic networks - how they are modelled, analysed, controlled and planned - so a large electrical power system with its associated energy sources, storage and loads provides him with challenges in all these areas.

Professor David Hill has pursued numerous research topics within the areas of control systems, power systems, complex dynamical networks and stability analysis over his career. Current work is now mainly on control and planning of future carbon-constrained energy networks, which uses aspects of all these areas. Thus he supervises postgraduate research in power system modeling, analysis, control (or smarter grids) and planning, particularly relating to issues of renewable power, storage and other new technologies. For students interested in more basic science aspects, he has projects in the areas of distributed control, complex networks and stability theory.

Professor David Hill has made fundamental contributions to many areas of electrical engineering and systems science which has been recognized by election to five prestigious Fellowships and Academies.  In particular, he played a major role in establishing basic tools for nonlinear interconnected systems stability analysis, constructive nonlinear control, decentralized adaptive control, power system stability analysis using network-based and bifurcation methods, market-based power system expansion, dynamical voltage stability analysis, global stability control, power system load modeling, dynamic learning control, synchronism in complex networks (with non-identical nodes), stability of switched and impulsive networks and gain analysis of nonlinear networks.

His primary aim lately is to prove that a power grid can deliver reliable electricity with zero carbon emissions for reasonable cost. Many statements along these lines are not fully justified and ignore important issues such as grid structure, stability and security. Towards this goal his main project areas are on stability of power systems with renewables, demand-side distributed control, planning (generation and network expansion) future grids as well as some fundamental approaches such as how to use learning to scale coordination control algorithms.

Selected publications

  • Z-Y.Dong, J-H.Zhao and D.J.Hill, "Numerical simulation for stochastic transient stability assessment," IEEE Trans on Power Systems, Vol.27, No.4, November 2012, pp.1741-1749.
  • D.J.Hill, T.Liu and G.Verbic, "Smart grids as distributed learning control," Proceedings 2012 PES General Meeting, Invited Panel on Distributed control - bringing together the power and control communities, San Diego, July 2012.
  • J.Zhao, D.J.Hill and T.Liu,"Synchronization of dynamical networks with non-identical nodes: criteria and control," IEEE Transactions Circuits and Systems-I, Vol.58, No.3, March 2011, pp.584-594.
  • G.Chen, Z-Y.Dong, D.J.Hill, G-H.Zhang and K-Q.Hua, "Attack structural vulnerability of power grids: a hybrid approach based on complex networks," Physica A, Vol.389, pp.595-603, 2010.
  • C.Wang and D.J.Hill, Deterministic Learning Theory for Identification, Recognition and Control, CRC Press, 2009.
  • X-M.Sun, J.Zhao and D.J.Hill, "Stability and L2 -gain analysis for switched delay systems: a delay-dependent method," Automatica, Vol.42, pp.1769-1774, 2006.
  • D.J.Hill et.al, "Global control of complex power systems", in G.Chen, D.J.Hill and X.Yu (eds.), Bifurcation Control: Theory and Applications, Lecture Notes in Control and Information Sciences, Springer-Verlag, August 2003.
  • R. Fang and D.J.Hill, "A new strategy for transmission expansion in competitive electricity markets", IEEE Transactions of Power Systems, Vol. 18, No. 1, pp.374-380, February 2003.
  • Y.Guo, D.J.Hill and Y.Wang, "Global transient stability and voltage regulation for power systems", IEEE Transactions of Power Systems, Vol.16, No.4, pp.678-688, November 2001.
  • D.J.Hill, "Nonlinear dynamic load models with recovery for voltage stability studies", IEEE Transactions of Power Systems, Vol. 8, No. 1, pp. 166-176, February 1993.