Overview of recent control technologies for future power systems

Abstract The increasing integration of renewable power generation in power systems poses new challenges to power system control. In this article, we describe a multi-layer power system control architecture that addresses these challenges and comprises economic planning, supervisory power control, as well as voltage and frequency control as main layers. Several parts of this architecture have already been developed and tested on diverse components including building energy management, micro grid management and wind park control. We provide an overview of these applications and indicate white spots in this control architecture that require further research.

[1]  P. Kundur,et al.  Power system stability and control , 1994 .

[2]  Lingfeng Wang,et al.  Stochastic combined heat and power dispatch based on multi-objective particle swarm optimization , 2006 .

[3]  Manfred Morari,et al.  Use of model predictive control and weather forecasts for energy efficient building climate control , 2012 .

[4]  Jochen Schäfer,et al.  Smart Operation of CHP Units , 2012 .

[5]  Jochen Schäfer,et al.  Optimal control of combined heat and power units under varying thermal loads , 2014 .

[6]  Louay M. Chamra,et al.  Cost-optimized real-time operation of CHP systems , 2009 .

[7]  Sandra Hirche,et al.  Alternating Direction Method of Multipliers for decentralized electric vehicle charging control , 2013, 52nd IEEE Conference on Decision and Control.

[8]  Petr Stluka,et al.  Advanced HVAC Control: Theory vs. Reality , 2011 .

[9]  Hussain Shareef,et al.  A review on voltage control methods for active distribution networks , 2012 .

[10]  Andrei Szabo,et al.  Control as a Key Technology for the Grid Integration of Renewables , 2011 .

[11]  Michael Chertkov,et al.  Sparsity-Promoting Optimal Wide-Area Control of Power Networks , 2013, IEEE Transactions on Power Systems.

[12]  Frank Allgöwer,et al.  Decentralized state feedback control for interconnected systems with application to power systems , 2014 .

[13]  Farrokh Janabi-Sharifi,et al.  Theory and applications of HVAC control systems – A review of model predictive control (MPC) , 2014 .

[14]  E. Kholodova,et al.  Combined central and local control of reactive power in electrical grids with distributed generation , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).

[15]  Michael Metzger,et al.  New principles of operating electrical distribution networks with a high degree of decentralized generation , 2009 .

[16]  S. Massoud Amin,et al.  A control and communications architecture for a secure and reconfigurable power distribution system: An analysis and case study , 2011 .

[17]  Stefano Bracco,et al.  A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators , 2014 .

[18]  Fu Lin,et al.  Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers , 2011, IEEE Transactions on Automatic Control.

[19]  François Maréchal,et al.  Predictive optimal management method for the control of polygeneration systems , 2009, Comput. Chem. Eng..

[20]  Andrei Szabo,et al.  Voltage control for Distributed Energy Resources - The value of coordination , 2014, 2014 IEEE International Energy Conference (ENERGYCON).

[21]  Rudolf Sollacher,et al.  Predictive Decision Support to Protect Power Systems against Wind Farm Drop Outs , 2015, 2015 IEEE Eindhoven PowerTech.