Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Maximum power point tracking (MPPT)


Design of a Boost Converter with MPPT Algorithm for a PV Generator Under Extreme Operating Conditions

Hussein A. Hussein; Ali J. Mahdi; Thamir M. Abdul-Wahhab

Engineering and Technology Journal, 2021, Volume 39, Issue 10, Pages 1473-1480
DOI: 10.30684/etj.v39i10.1888

Photovoltaic generators (PVGs) are one of the most popular renewable energy sources (RESs), which achieve 47% of RES in microgrids. The aim of this work is to design and simulate a PVG system with a rated power of about 1,621 kW at the standard test conditions (STC), i.e., 1,000 W/m2 and 25ºC. The main components of the proposed PVG are 12 PV panels connected in series (the peak power of a PV panel at STC is about 135 W). A DC-DC boost converter is proposed for implementing the maximum power point tracking (MPPT) algorithm. The proposed MPPT algorithm is tested under extreme conditions; a wide range of change in temperature, irradiance, and load variations. The boost converter is designed to verify stable power flow from the PVG to the load. The calculated and the simulation results using MATLAB/Simulink are in good agreements and the maximum efficiency of the implemented MPPT algorithm is about 99%.

Intelligent controller Design based on wind-solar system

Areeg F. Hussein; Hanan A. R. Akkar

Engineering and Technology Journal, 2021, Volume 39, Issue 2A, Pages 326-337
DOI: 10.30684/etj.v39i2A.1761

This paper presents an Intelligent controller designed to mastery the output power flow from the Solar System, the Wind system, the sum of the two systems or from the battery system, according to the Maximum power point tracking algorithm, to ensure the continuity of the output power at fast time response. The proposed controller has been designed using MATLAB m-file and trained with the different number of hidden neurons using two different algorithms to get as fast a response time with minimum Mean Square Error (MSE) as possible which resulted in six hidden neurons using Levenberg-Marquardt training algorithms.

Comparative Study of Perturb & Observe, Modified Perturb & Observe and Modified Incremental Conductance MPPT Techniques for PV Systems

Mohanad H. Mahmood; Inaam I. Ali; Oday A. Ahmed

Engineering and Technology Journal, 2020, Volume 38, Issue 4A, Pages 478-490
DOI: 10.30684/etj.v38i4A.329

This paper presents a modified maximum power point tracking algorithm (Modified MPPT) for PV systems based on incremental conductance (IC) algorithm. This method verified with the dynamic irradiance and sudden change of irradiance, the comparisons with conventional methods, for example, the perturbation and observation (P&O) and Modified perturbation and observation (Modified P&O) were performed. A photovoltaic (PV) panel was simulated and tested using MATLAB/Simulink based on PV panel at Power Electronics Laboratory. The results show that this method capable to find the maximum power point (MPP) under dynamic behavior faster than ( P&O) and Modified P&O). Reduced oscillation of MPP indicates enhanced efficiency, providing maximum power transfer to load