Optimization
Application of Improved Salp Swarm Algorithm Based on MPPT for PV Systems under Partial Shading Conditions

Javad Farzaneh; Ali Karsaz

Volume 3, Issue 4 , September 2020, , Pages 407-414

http://dx.doi.org/10.22111/ieco.2020.31320.1200

Abstract
  Maximum Power Point Tracking (MPPT) is an important concept for both uniform solar irradiance and Partial Shading Conditions (PSCs). The paper presents an Improved Salp Swarm Algorithm (ISSA) for MPPT under PSCs. The proposed method benefits a fast convergence speed in tracking the Maximum Power Point ...  Read More

Optimization
Application of Artificial intelligence techniques for optimum design of hybrid grid-independent PV/WT/battery power system

Seyed Mahdi Hadad Baygi; Javad Farzaneh

Volume 3, Issue 3 , July 2020, , Pages 275-289

http://dx.doi.org/10.22111/ieco.2020.28603.1136

Abstract
  The idea of this paper is behind the development of sizing optimization model based on a new optimization algorithm to optimize the size of different stand-alone hybrid photovoltaic (PV)/wind turbine (WT)/battery system components to electrify a remote location including ten residential buildings located ...  Read More

Optimization
A novel fast maximum power point tracking for a PV system using hybrid PSO-ANFIS algorithm under partial shading conditions

Javad Farzaneh; Reza Keypour; Ali Karsaz

Volume 2, Issue 1 , January 2019, , Pages 47-58

http://dx.doi.org/10.22111/ieco.2018.25721.1056

Abstract
  It is highly expected that partially shaded condition (PSC) occurs due to the moving clouds in a large photovoltaic (PV) generation system (PGS). Several peaks can be seen in the P-V curve of a PGS under such PSC which decreases the efficiency of conventional maximum power point tracking (MPPT) methods. ...  Read More