A Hydro Power Plant Linear Parameter Varying Control Framework

This paper presents a Linear Parameter Varying (LPV) control methodology for a hydro power plant for potentially superior smart grid implementations. The hydro power plant is assumed to be decomposable to its subsystems whose characteristics may involve different dynamical behaviors related to a real-time time-varying parameter that can be measurable in future periods. The nonlinear hydro plant dynamics are expressed in terms of a polytopic parameter-dependent model to efficiently characterize the plant dynamical changes, and the associated LPV controller synthesis perspectives are detailed. The LPV model closed loop controller synthesis and simulation results illustrate the effectiveness of the framework for nonlinear power plant optimization.

[1]  M. Khammash,et al.  Decentralized power system stabilizer design using linear parameter varying approach , 2004, IEEE Transactions on Power Systems.

[2]  Qiang Lu,et al.  Decentralized nonlinear optimal excitation control , 1996 .

[3]  Muhittin Yilmaz,et al.  ROBUST SYSTEMS THEORY APPLICATIONS TO MACROECONOMIC STABILIZATION PROBLEMS , 2005 .

[4]  S. V. Jayaram Kumar,et al.  LOAD FREQUENCY CONTROL FOR A TWO AREA INTERCONNECTED POWER SYSTEM USING ROBUST GENETIC ALGORITHM CONTROLLER , 2008 .

[5]  Anjali Singhal,et al.  Software models for Smart Grid , 2012, 2012 First International Workshop on Software Engineering Challenges for the Smart Grid (SE-SmartGrids).

[6]  S.P. Singh,et al.  Simulation of reduced order hydro turbine models to study its hydraulic transient characteristics , 2005, 2005 Pakistan Section Multitopic Conference.

[7]  Prakash Ranganathan,et al.  Agent-Oriented Designs for a Self Healing Smart Grid , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[8]  Olivier Sename,et al.  An LPV control approach for a fuel cell power generator air supply system , 2012, 2012 American Control Conference (ACC).

[9]  Ahmed M. Kassem,et al.  Robust control of an isolated hybrid wind-diesel power system using Linear Quadratic Gaussian approach , 2011 .

[10]  Naren Reddy Dhansri,et al.  "A Smart Grid Robust Optimization Framework" , 2012, Complex Adaptive Systems.

[11]  M.A. Nekoui,et al.  Load frequency control in interconnected power system using modified dynamic neural networks , 2007, 2007 Mediterranean Conference on Control & Automation.

[12]  J. N. Garcez,et al.  A connectionist approach to hydroturbine speed control parameters tuning using artificial neural network , 1995, 38th Midwest Symposium on Circuits and Systems. Proceedings.

[13]  Ian A. Hiskens,et al.  Achieving Controllability of Electric Loads , 2011, Proceedings of the IEEE.

[14]  Michael Buchholz,et al.  Identification of a bilinear and parameter-varying model for lithium-ion batteries by subspace methods , 2013, 2013 American Control Conference.

[15]  Drid Said,et al.  Linear parameter varying induction motor control with two-degree-of freedom controller , 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives.

[16]  Rong He,et al.  LPV modelling and gain-scheduled control approach for the transient stabilization of power systems , 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

[17]  M. Yilmaz,et al.  A Smart Grid Intelligent Control Framework , 2012, 2012 IEEE Green Technologies Conference.

[18]  K. Tomsovic,et al.  Application of linear matrix inequalities for load frequency control with communication delays , 2004, IEEE Transactions on Power Systems.

[19]  C. Warren,et al.  An innovative approach to smart automation testing at National Grid , 2012, PES T&D 2012.