Fuel cells are considered as new kinds of clean energy sources. This study presents a
method for optimal unknown parameters identification of a Solid Oxide Fuel Cell (SOFC) …

Since installing solid oxide fuel cells (SOFCs)-based systems suffers from high expenses,
accurate and reliable modeling is heavily demanded to detect any design issue prior to the …

Recently, the renewable energy has been occupied a lot of attention around the world since
it presents cheap and sustainable energy. Consequently, its presence in power systems …

According to the increase of energy consumption, wind energy penetration in power
generation systems, the wind energy uncertainty and also, due to complex and nonlinear …

An accurate identification of the parameters of solid oxide fuel cell (SOFC) models is the first
step to provide a reliable design for an energy storage system using SOFC. Therefore, in the …

In this work, the Coyote Optimization Algorithm (COA) is implemented for estimating the
parameters of single and three-phase power transformers. The estimation process is …

Abstract Proton Exchange Membrane fuel cells (PEMFCs) are a promising renewable
energy source to convert the chemical reactions between hydrogen and oxygen into …

The first stage in designing an efficient solid oxide fuel cell (SOFC) model is to accurately
determine its unknown parameters. The modeling and analysis of the steady-state and …

Tasmanian devil optimization (TDO) algorithm represents one of the most recent
optimization algorithms that were introduced based on the nature behavior of Tasmanian …

This study is concerned with solving the optimal reactive power dispatch (ORPD) problem
considering the existence of renewable energy resources (RERs). The sensitivity analysis …