Features of PSO – BFOA Based Increment Conductance Method with FPGA

Volume 7 Issue 1 December - February 2019

Research Paper

Features of PSO – BFOA Based Increment Conductance Method with FPGA

Ch. Venkateswara Rao* , S. S. Tulsiram**, B. Brahmaiah ***, Ch. Ramya****

* Lecturer, Department of Electrical and Electronics Engineering, Salalah College of Technology, Salalah, Oman.

** Dean and Professor, Department of Electrical and Electronics Engineering, Salalah College of Technology, GNITS, Hyderabad , Telangana, India.

*** Principal, Pydah College of Engineering and Technology, Visakhapatnam, Andhra Pradesh, India.

**** M.TechStudent, Department of Electrical and Electronics Engineering, Swarnandhra College of Engineering and Technology, Narasapuram, Andhra Pradesh, India.

Rao, V., Tulaisram, S.S., Brahmaiah, B., and Ramya. (2019). Features of PSO – BFOA Based Increment Conductance Method With FPGA. i-manager's Journal on Circuits and Systems , 7(1), 14-23. https://doi.org/10.26634/jcir.7.1.15391

Abstract

The global primary energy demands are increasing rapidly, which arrives at almost double the growth rate of energy consumption (Senjyu, Nakaji, Uezato, & Funabashi, 2005). An enhanced network-based control structure is essential, especially to get rid of the frequency deviations, power sharing errors, and stability concerns associated with the conservative droop control mainly in the micro grids (Jiang, Cao, Li, & Peng, 2012). One of the solutions for the issues is, to introduce renewable energy, among others PV and wind energy are clean and abundantly available in nature (Faranda & Leva, 2008). The Photovoltaic (PV) systems output power fluctuates according to the irradiation and temperature (weather conditions) (Kahrobaeian & Mohamed, 2015). Irregular PV output power results in frequency variations in the power systems, especially when the penetration is high. A photovoltaic (PV) array has nonlinear I-V (current-voltage) characteristics and its output power varies with solar insolation level, besides the ambient temperature. Only one point, called Maximum Power Point (MPP), exists on the P–V (power–voltage) curve, in which the power is maximum and the MPP fluctuates if there are changes in atmospheric conditions. The maximization of power output that takes place with greater efficiency becomes significant (Rao, Tulasiram, & Brahmaiah,2005). MPPT is the technique in use for extracting maximum power which is made available from the PV module (Subudhi & Pradhan, 2013). In this paper, a new hybrid algorithm is proposed combining the features of BFOA and Particle Swarm Optimization (PSO) for tuning PID controller, to give the better output from the solar power. PSO-BFOA based Incremental Conductance method to reduce sustained oscillations and fast searching of MPPT Computer simulations illustrate the effectiveness of the proposed approach compared to that of basic versions of PSO and BFO with FPGA. The results show that there are very good correlations between the controller parameters and the process parameters.