Decentralized Power Agreement for Improved Frequency Response in Interconnected Power Systems

Maintaining grid frequency close to the nominal value is one of the fundamental objectives of electric power operations. In this paper, we develop a decentralized control algorithm to improve the frequency response in case of sudden loss of generation in an interconnected grid. We propose a Cyber-Physical Architecture that requires minimal information exchange between control areas to reduce the frequency deviation from the nominal, in a distributed manner and also act on a much faster time scale as compared to traditional frequency regulation schemes. To achieve this, a decentralized Power Agreement protocol is proposed and analyzed. Finally simulations are performed to demonstrate the effectiveness of proposed protocol in improving both transient and steady state performance of the system.

[1]  Yi Guo,et al.  Nonlinear decentralized control of large-scale power systems , 2000, Autom..

[2]  Na Li,et al.  Optimal demand response based on utility maximization in power networks , 2011, 2011 IEEE Power and Energy Society General Meeting.

[3]  R. Murray,et al.  Decentralized Multi-Agent Optimization via Dual Decomposition , 2011 .

[4]  Magnus Egerstedt,et al.  Graph Theoretic Methods in Multiagent Networks , 2010, Princeton Series in Applied Mathematics.

[5]  Santiago Grijalva,et al.  Prosumer-based control architecture for the future electricity grid , 2011, 2011 IEEE International Conference on Control Applications (CCA).

[6]  Magnus Egerstedt,et al.  Distributed Power Allocation in Prosumer Networks , 2012 .

[7]  Claudio De Persis,et al.  An internal model approach to (optimal) frequency regulation in power grids with time-varying voltages , 2014, Autom..

[8]  D. Siljak,et al.  Robust Decentralized Turbine/Governor Control Using Linear Matrix Inequalities , 2002, IEEE Power Engineering Review.

[9]  Peter W. Sauer,et al.  Power System Dynamics and Stability , 1997 .

[10]  Magnus Egerstedt,et al.  From algorithms to architectures in cyber-physical networks , 2015 .

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

[12]  Magnus Egerstedt,et al.  Distributed Frequency Control of Prosumer-Based Electric Energy Systems , 2014, IEEE Transactions on Power Systems.

[13]  Karl Henrik Johansson,et al.  Distributed vs. centralized power systems frequency control , 2013, 2013 European Control Conference (ECC).

[14]  L. Armijo.  Minimization of functions having Lipschitz continuous first partial derivatives. , 1966 .

[15]  Enrique Mallada,et al.  Distributed frequency control for stability and economic dispatch in power networks , 2015, 2015 American Control Conference (ACC).