Cascade Control of Grid-Connected PV Systems Using TLBO-Based Fractional-Order PID

Cascade control is one of the most efficient systems for improving the performance of the conventional single-loop control, especially in the case of disturbances. Usually, controller parameters in the inner and the outer loops are identified in a strict sequence. This paper presents a novel cascade control strategy for grid-connected photovoltaic (PV) systems based on fractional-order PID (FOPID). Here, simultaneous tuning of the inner and the outer loop controllers is proposed. Teaching-learning-based optimization (TLBO) algorithm is employed to optimize the parameters of the FOPID controller. The superiority of the proposed TLBO-based FOPID controller has been demonstrated by comparing the results with recently published optimization techniques such as genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO). Simulations are conducted using MATLAB/Simulink software under different operating conditions for the purpose of verifying the effectiveness of the proposed control strategy. Results show that the performance of the proposed approach provides better dynamic responses and it outperforms the other control techniques.

[1]  Nusret Tan,et al.  Improved cascade control structure for enhanced performance , 2007 .

[2]  Houria Boumaaraf,et al.  A three-phase NPC grid-connected inverter for photovoltaic applications using neural network MPPT , 2015 .

[3]  M V Sadasivarao,et al.  PID Controller tuning of cascade control systems , 2013 .

[4]  Shantanu Das,et al.  Improved Model Reduction and Tuning of Fractional Order PIλDμ Controllers for Analytical Rule Extraction with Genetic Programming , 2012, ISA transactions.

[5]  A. Bouscayrol,et al.  Simulation of a Photovoltaic Conversion System using Energetic Macroscopic Representation , 2012, 2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC).

[6]  Gerry Dozier,et al.  Adapting Particle Swarm Optimizationto Dynamic Environments , 2001 .

[7]  Vadlamani Ravi,et al.  Particle Swarm Optimization Trained Class Association Rule Mining: Application to Phishing Detection , 2016, ICIA.

[8]  James Kennedy,et al.  Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[9]  M. Chidambaram,et al.  PID Controller tuning of cascade control systems using genetic algorithm , 2006 .

[10]  Y. Chen,et al.  Practical Tuning Rule Development for Fractional Order Proportional and Integral Controllers , 2008 .

[11]  Pradeep B. Deshpande,et al.  When to use cascade control , 1990 .

[12]  Ai Poh Loh,et al.  Relay feedback auto-tuning of cascade controllers , 1994, IEEE Trans. Control. Syst. Technol..

[13]  Mohamed Nejib Mansouri,et al.  Nonlinear Robust Backstepping Control for Three-Phase Grid-Connected PV Systems , 2018, Mathematical Problems in Engineering.

[14]  Frede Blaabjerg,et al.  Overview of Maximum Power Point Tracking Techniques for Photovoltaic Energy Production Systems , 2015 .

[15]  M. Sreedevi,et al.  Fuzzy PI Controller Based Grid-Connected PV System , 2011 .

[16]  Mahmud Iwan Solihin,et al.  Tuning of PID Controller Using Particle Swarm Optimization (PSO) , 2011 .

[17]  Thomas F. Edgar,et al.  Computer-aided process control system design using interactive graphics , 1981 .

[18]  T. H. I. Jaakola,et al.  Optimization by direct search and systematic reduction of the size of search region , 1973 .

[19]  M. C HIDAMBARAM.  Cascade controller tuning by relay auto tune method , 2004 .

[20]  John J. Grefenstette,et al.  Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[21]  Ivo Petras,et al.  Control quality enhancement by fractional order controllers , 1998 .

[22]  Duarte Valério,et al.  Tuning of fractional PID controllers with Ziegler-Nichols-type rules , 2006, Signal Process..

[23]  Ramon Vilanova,et al.  Robust tuning of Two-Degree-of-Freedom (2-DoF) PI/PID based cascade control systems , 2009 .

[24]  Sudhir Agashe,et al.  Experimental Analysis of Fractional PID Controller Parameters on Time Domain Specifications , 2017 .

[25]  Sunwon Park,et al.  PID controller tuning to obtain desired closed loop responses for cascade control systems , 1998 .

[26]  Tao Liu,et al.  Decoupling two-degree-of-freedom control strategy for cascade control systems , 2005 .

[27]  Kok Kiong Tan,et al.  Robust self-tuning PID controller for nonlinear systems , 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).

[28]  Chunguang Zhou,et al.  Particle swarm optimization for traveling salesman problem , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

[29]  R. Venkata Rao,et al.  Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..

[30]  W. Renhart,et al.  Pareto optimality and particle swarm optimization , 2004, IEEE Transactions on Magnetics.