Modeling of Maximum Solar Power Tracking by Genetic Algorithm Method

Abstract

This paper presents a model of solar cell by using MATLAB SIMULINK. P-V, I-V and P-I characteristics were studied for various values of irradiance at constant temperature. Genetic Algorithm (GA) was used for maximum power point tracking (MPPT) of Photovolt aic (PV) system using the direct control method. The main objective of this paper is to find out the optimal angle, which is used for the positional control of solar module and optimal power tracking. The principle of GAs is searching for the maximum of fitness function and not for the minimum of power derivation; this gives more stability and minimize oscillation of output power around the maximum power point (MPP). The main contribution of the proposed scheme is the elimination of PI control loop which normally exists to manipulate the duty cycle. Simulation results indicate that the proposed controller outperforms the others method for all type of environmental conditions.

Simulation and Optimization of Gas Sweetening Plant of Iraq Majnoon Refinery

“…Genetic algorithms are used for probabilistic optimization methods, which indicate simulations of evolution, and there are some stages. Algorithm builds a sequence of events for a new population in that each individual in a present generation creates a new population [19]. Before, starting the optimization of the gas sweetening process, the optimization objectives, optimization variables and values of the optimization parameters need to be determined.…”