Non-integer IMC based PID Design for Load Frequency Control of Power System Through Reduced Model Order

This paper deals with non-integer internal model control (FIMC) based proportional-integral-derivative(PID) design for load frequency control (LFC) of single area non-reheated thermal power system under parameter divergence and random load disturbance. Firstly, a fractional second order plus dead time(SOPDT) reduced system model is obtained using genetic algorithm through step error minimization. Secondly, a FIMC based PID controller is designed for single area power system based on reduced system model. Proposed controller is equipped with single area non-reheated thermal power system. The resulting controller is tested using MATLAB/SIMULINK under various conditions. The simulation results show that the controller can accommodate system parameter uncertainty and load disturbance. Further, simulation shows that it maintains robust performance as well as minimizes the effect of load fluctuations on frequency deviation. Finally, the proposed method applied to two area power system to show the effectiveness.

[1]  John Holland,et al.  Adaptation in Natural and Artificial Sys-tems: An Introductory Analysis with Applications to Biology , 1975 .

[2]  Evanghelos Zafiriou,et al.  Robust process control , 1987 .

[3]  Shunji Manabe,et al.  EARLY DEVELOPMENT OF FRACTIONAL ORDER CONTROL , 2003 .

[4]  Rachid Mansouri,et al.  Fractional IMC-PID-filter controllers design for non integer order systems , 2014 .

[5]  Wen Tan,et al.  Tuning of PID load frequency controller for power systems , 2009 .

[6]  Rabindra Kumar Sahu,et al.  Teaching learning based optimization algorithm for automatic generation control of power system using 2-DOF PID controller , 2016 .

[7]  Yogesh V. Hote,et al.  Load Frequency Control in Power Systems via Internal Model Control Scheme and Model-Order Reduction , 2013, IEEE Transactions on Power Systems.

[8]  Babu Narayanan,et al.  POWER SYSTEM STABILITY AND CONTROL , 2015 .

[9]  Krishan Arora,et al.  Automatic Generation Control for Interconnected Hydro-thermal System with the help of Conventional Controllers , 2012 .

[10]  Wen Tan,et al.  Unified Tuning of PID Load Frequency Controller for Power Systems via IMC , 2010, IEEE Transactions on Power Systems.

[11]  Bo Hu,et al.  On symbolic model order reduction , 2006, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[12]  Abdul Wahid Nasir,et al.  IMC Based Fractional Order Controller for Three Interacting Tank Process , 2017 .

[13]  Yang Mi,et al.  Decentralized Sliding Mode Load Frequency Control for Multi-Area Power Systems , 2013, IEEE Transactions on Power Systems.

[14]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[15]  Chia-Feng Juang,et al.  Load-frequency control by hybrid evolutionary fuzzy PI controller , 2006 .

[16]  Om P. Malik,et al.  Microprocessor-based adaptive load-frequency control , 1984 .

[17]  M. Morari,et al.  Internal model control: PID controller design , 1986 .

[18]  Zhidong Qi,et al.  Design of a new fractional order piλ-PDμ Controller for Fractional Order System Based on BFGS Algorithm , 2016, 2016 Chinese Control and Decision Conference (CCDC).

[19]  K. Han,et al.  Reduction of Transfer Functions by the Stability-Equation Method , 1979 .

[20]  Olle I. Elgerd,et al.  Electric Energy Systems Theory: An Introduction , 1972 .

[21]  YangQuan Chen,et al.  Fractional-order systems and control : fundamentals and applications , 2010 .

[22]  Saptarshi Das,et al.  Fractional Order AGC for Distributed Energy Resources Using Robust Optimization , 2016, IEEE Transactions on Smart Grid.

[23]  Faten H. Fahmy,et al.  Optimal Sizing and Economical Analysis of PV-Wind Hybrid Power System for Water Irrigation using Genetic Algorithm , 2017 .

[24]  Nasser Hosseinzadeh,et al.  Load Frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic Approach , 2014, IEEE Transactions on Power Systems.