Optimal design of cascaded control scheme for PV system using BFO algorithm

In this paper presents Bacteria Foraging Optimization (BFO) algorithm based approach to find the optimum design values for the Proportional-Integral (PI) Controllers in cascaded structure is presented. Tuning the values of four PI controllers is very complex when the system is difficult to express in terms of mathematical model due to system nonlinearity. Response surface methodology (RSM) is used to formulate a mathematical design which is required to apply optimization algorithm. To examine the performance of BFO algorithm in obtaining optimum values of multiple PI controllers, a grid connected Photovoltaic (PV) system is chosen. Transient performance of the PI controller with optimum design values is evaluated under grid fault conditions. The system is simulated using PSCAD/EMTDC. Simulation results have shown the validity of the optimal design values obtained from RSM-BFO approach under different disturbances and system parameter variations.

[1]  H. T,et al.  The future of PID control , 2001 .

[2]  Kevin M. Passino,et al.  Biomimicry of bacterial foraging for distributed optimization and control , 2002 .

[3]  Sukumar Mishra,et al.  A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation , 2005, IEEE Transactions on Evolutionary Computation.

[4]  Dale Farris,et al.  Design of Experiments With MiNITAB , 2005 .

[5]  Kiam Heong Ang,et al.  PID control system analysis and design , 2006, IEEE Control Systems.

[6]  Qing Song,et al.  A Neural Network Assisted Cascade Control System for Air Handling Unit , 2007, IEEE Transactions on Industrial Electronics.

[7]  A. Rubaai,et al.  Design and Implementation of Parallel Fuzzy PID Controller for High-Performance Brushless Motor Drives: An Integrated Environment for Rapid Control Prototyping , 2008, IEEE Transactions on Industry Applications.

[8]  Michael Starke,et al.  DC Distribution with Fuel Cells as Distributed Energy Resources , 2009 .

[9]  Marcelo Gradella Villalva,et al.  Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays , 2009, IEEE Transactions on Power Electronics.

[10]  Xiaodong Li,et al.  Species based evolutionary algorithms for multimodal optimization: A brief review , 2010, IEEE Congress on Evolutionary Computation.

[11]  Hany M. Hasanien,et al.  Particle Swarm Design Optimization of Transverse Flux Linear Motor for Weight Reduction and Improvement of Thrust Force , 2011, IEEE Transactions on Industrial Electronics.

[12]  B. Popadic,et al.  Tuning methods for PI controller - Comparison on a highly modular drive , 2013, 2013 4th International Youth Conference on Energy (IYCE).

[13]  Hany M. Hasanien,et al.  Harmony Search Algorithm-Based Controller Parameters Optimization for a Distributed-Generation System , 2015, IEEE Transactions on Power Delivery.