Hydro plant network control LPV framework

This paper presents a network controlled Linear Parameter Varying (LPV) control framework for a hydro power plant. The linearized plant dynamics is assumed to be controlled via remote controller operations over communication networks. The controller action to hydro plant and the plant output to controller input signals are assumed to be transmitted over different networks with a bounded network delay and associated packet drops. As the network delay is modeled as a Pade approximation, the control system signal transmissions over the networks are modeled as an LPV system such that the accurately received packets and lost packets are used as the real-time time-varying parameter that can be measurable in future periods. The communication network LPV characteristics are expressed in terms of a polytopic parameter-dependent model to efficiently characterize the overall network operations for received and lost packages, and the associated LPV controller synthesis perspectives are detailed. The networked controlled LPV controller synthesis and simulation results clearly demonstrate the effectiveness of the framework for networked control system delay and packet loss issues on stability and performance.

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

[2]  Mo-Yuen Chow,et al.  Networked Control System: Overview and Research Trends , 2010, IEEE Transactions on Industrial Electronics.

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

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

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

[6]  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.

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

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

[9]  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.

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

[11]  Rong He,et al.  LPV modelling and gain-scheduled control approach for the transient stabilization of power systems , 2009, ICIEA 2009.

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

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

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

[15]  Fangzheng Gao,et al.  H∞ control of networked control systems with stochastic time delay and packet dropout , 2011, 2011 Chinese Control and Decision Conference (CCDC).

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

[17]  Kun Ji,et al.  Control Strategies for Distributed Real-Time Control With Time Delays and Packets Losses , 2004 .

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

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

[20]  Muhittin Yilmaz,et al.  A Hydro Power Plant Linear Parameter Varying Control Framework , 2014, 2014 Sixth Annual IEEE Green Technologies Conference.

[21]  Subhrakanti Dey,et al.  Stability of Kalman filtering with Markovian packet losses , 2007, Autom..

[22]  Jing Wu,et al.  Design of Networked Control Systems With Packet Dropouts , 2007, IEEE Transactions on Automatic Control.