Simulation and Analysis of Improved Incremental Conductance Algorithm with Ann Based Solar Pv System

Abstract

An adaptive and optimal control strategy for a solar photovoltaic (PV) system is proposed in this paper. The control strategy ensures that the solar PV panel is always perpendicular to sunlight and simultaneously operated at its maximum power point (MPP) for continuously harvesting maximum power. The proposed control strategy is the control combination between the solar tracker (ST) and MPP tracker (MPPT) that can greatly improve the generated electricity from solar PV systems. Regarding the ST system, the paper presents two drive approaches including open- and closed-loop drives. Additionally, the paper also proposes an improved incremental conductance (InC) algorithm for enhancing the speed of the MPP tracking of a solar PV panel under various atmospheric conditions as well as guaranteeing that the operating point always moves towards the MPP using this proposed algorithm. Here we are using ANN controller compared to other controllers i.e. ANN is non-paramateric model while most of statistical methods are parametric model that need higher background of statistic. In addition, using the ANN controller for a nonlinear system allows for a reduction of uncertain effects in the system control and improve the efficiency the simulation results shows the effectiveness of the proposal under various atmospheric conditions.