A distributed control design methodology for damping critical modes in power systems

Due to rapid growth of power demand and economical and environmental restrictions for transmission and generation expansion, future power systems will be operating close to their stability limits. Critical modes of the system that are near stability limits can be influenced by unpredictable contingencies and even lead to cascading failures and blackouts. Therefore, maintaining sufficient security margins will be highly dependent on a robust and reliable control infrastructure. In this paper, we proposed a distributed control scheme based on maximum eigenvalue minimization algorithm to improve the damping performance of the mode which is closest to stability limits or a desired performance limit. We also explored the effects of communication structure on controller performance and derived sufficient bounds on distributed feedback gains to guarantee a certain performance. Simulation results on a two-area four-machine test system demonstrates the effectiveness of the proposed controller.

[1]  Kevin Tomsovic,et al.  Residential customers elasticity estimation and clustering based on their contribution at incentive based demand response , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[2]  Charles R. Johnson,et al.  Matrix Analysis, 2nd Ed , 2012 .

[3]  Kevin Tomsovic,et al.  Designing the Next Generation of Real-Time Control, Communication, and Computations for Large Power Systems , 2005, Proceedings of the IEEE.

[4]  Azwirman Gusrialdi,et al.  Performance-oriented communication topology design for distributed control of interconnected systems , 2013, Math. Control. Signals Syst..

[5]  Saeed Mohajeryami,et al.  Study of effectiveness of under-excitation limiter in dynamic modeling of Diesel Generators , 2014, 2014 Power and Energy Conference at Illinois (PECI).

[6]  Kevin Tomsovic,et al.  Virtual Actuators for Wide-Area Damping Control of Power Systems , 2016, IEEE Transactions on Power Systems.

[7]  Sukumar Kamalasadan,et al.  Hybrid energy function based real-time optimal wide-area transient stability controller for power system stability , 2015, 2015 IEEE Industry Applications Society Annual Meeting.

[8]  Azwirman Gusrialdi,et al.  Performance-Oriented Distributed Control Design for Interconnected Systems , 2012 .

[9]  Kevin Tomsovic,et al.  Application of distributed control to mitigate disturbance propagations in large power networks , 2015, 2015 North American Power Symposium (NAPS).

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

[11]  Vahid Madani,et al.  Wide-Area Monitoring, Protection, and Control of Future Electric Power Networks , 2011, Proceedings of the IEEE.

[12]  Kevin Tomsovic,et al.  Distributed control design for damping inter-area oscillations in cyber-physical power networks , 2016 .

[13]  Yang Zhang,et al.  Design of Wide-Area Damping Controllers for Interarea Oscillations , 2008, IEEE Transactions on Power Systems.

[14]  S. Mehraeen,et al.  Optimal PMU placement for fault observability in distributed power system by using simultaneous voltage and current measurements , 2013, 2013 IEEE Power & Energy Society General Meeting.

[15]  Francesco Borrelli,et al.  Distributed LQR Design for Identical Dynamically Decoupled Systems , 2008, IEEE Transactions on Automatic Control.

[16]  Khosrow Moslehi,et al.  Power System Control Centers: Past, Present, and Future , 2005, Proceedings of the IEEE.

[17]  Sukumar Kamalasadan,et al.  Design and Real-Time Implementation of Optimal Power System Wide-Area System-Centric Controller Based on Temporal Difference Learning , 2016 .