Bandlapalli Shabnam1, Dr. N. Visali2

1PG-Scholar, Department of EEE, JNTUA College of Engineering (Autonomous) Ananthapuramu, India.

2Professor & HOD, Department of EEE, JNTUA College of Engineering (Autonomous) Ananthapuramu, India.



            With the population growth, depletion of fossil fuels and evolution of electrical Vehicles, the demand for the electrical energy by using renewable energy resources have been increased. Here the solar renewable energy is used. A solar based microgrid can be operated in standalone mode or can be connected to main grid using Point of Common Coupling (PCC). Synchronisation and power quality becomes main concern when connected to main grid. Here Intelligent control techniques are proposed for the efficient operation of solar based Microgrid. Maximum Power Point Tracking (MPPT) technique is used to obtain the maximum power from PV array due to solar irradiation problem. Generally, Perturb and Observation (P&O) Technique is used but by using this MPPT technique the power at maximum power point has more oscillations. To overcome the above problem Particle Swarm Optimisation (PSO) technique is proposed for maximum power tracking. By using this PSO based MPPT the oscillations at MPP are reduced. To obtain the efficient operation of microgrid different controllers are used in PQ control mode. Generally, PI controller is used but the voltages and frequencies of inverter and grid are getting unbalanced. So, to maintain the balance between grid and inverter voltages and frequencies, Adaptive Neuro Interface System (ANFIS) controller is proposed. Also, the energy storage system is used along with solar system as the solar energy is not available all the day. This model is simulated in Simulink / MATLAB.

keywords: Solar based Microgrid, Particle Swarm Optimisation (PSO) MPPT technique, Adaptive Neuro interface System (ANFIS) controller, energy storage system.