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

Control
Innovative Hybrid Backward Input Estimation and Data Fusion for High Maneuvering Target Tracking

Ali Karsaz; Amin Adineh

Volume 2, Issue 4 , October 2019, , Pages 305-318

http://dx.doi.org/10.22111/ieco.2019.26172.1066

Abstract
  Abstract: A hybrid unknown input estimation based on a new two-sample backward model and data fusion for high maneuvering target tracking is proposed. This new approach is based on the consideration of more than one state and input components from the current single observation. These extracted state ...  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