Operational performance of a PV generator feeding DC shunt and induction motors with MPPT

This paper presented the transient and operational behavior of a parallel Combination of DC Shunt Motor and IM fed by a photovoltaic generator at different solar irradiance levels. The maximum power point of current/voltage (I/V) characteristic of the PV generator was achieved for different solar intensities, by utilizing an open circuit voltage method. The nonlinear operational behavior of (I/V) characteristics of the PV generator at various solar intensities and the magnetization curve of the ferromagnetic material of the DC shunt motor were both modeled by high order polynomial mathematical expressions. The study investigated the response of the system at different solar irradiance levels and changing the torque loads for both motors and then following step change in solar intensity levels with fixed loading torques for both motors. All numerical simulations were executed using MATLAB software

A PV powered DC shunt motor: Study of dynamic analysis using maximum power Point-Based fuzzy logic controller

Solar cells absorb sun light and convert it into electricity. However, the infrastructure of solar cells, their initial cost, energy conversion and efficiency could raise some challenges and concerns. This is because of the current-voltage properties of solar cells which are strongly dependent on the solar radiation and the ambient temperature level. This further causes fluctuations in the photovoltaic (PV) output power. In this article, a novel scheme is proposed to improve the PV system efficiency. This is achieved by using tracker techniques to calculate the maximum power point tracking (MPPT) where the energy can be safely passed to the load under suitable conditions. The scheme is further enhanced by investigating a PV generator and a direct-current (DC) shunt motor using a fuzzy logic controller (FLC) method for monitoring and tracking the maximum power point. A power electronics system based on boost DC-to-DC converter is used along with the PV module to raise the performance by the shift of the converter control input duty cycle. Evaluations were made to analyze the dynamical behavior and the steady state performance of the direct current shunt motor obtained from the PV module using MATLAB SIMULINK. 2022 The Author(s)The publication of this article was funded by Qatar National Library.Scopu

Parameter Estimation of Vehicle Batteries in V2G Systems: An Exogenous Function-Based Approach

The rapid introduction of electric vehicles (EVs) in the transportation market has initiated the concept of vehicle-to-grid (V2G) technology in smart grids. However, where V2G technology is intended to facilitate the power grid ancillary services, it could also have an adverse effect on the aging of battery packs in EVs. This is due to the instant depletion of power during the charge and discharge cycles, which could eventually impact the structural complexity and electrochemical operations in the battery pack. To address this situation, a median expectation-based regression approach is proposed for parameter estimation of vehicle batteries in V2G systems. The proposed method is built on the property of uncertainty prediction of Gaussian processes for parameter estimation while considering the cell variations as an exogenous function. First, a median expectation-based Gaussian process model is derived to predict the fused and individual cell variations of a battery pack. Second, a magnitude-squared coherence model is developed by the error matrix to detect and isolate each variation. This is obtained by extracting the cross-spectral densities for the measurements. The proposed regression-based approach is evaluated using experimental measurements collected from lithium-ion battery pack in EVs. The parametric analysis of the battery pack has been verified using D-SAT Chroma 8000ATS hardware platform. Performance evaluation shows an accurate estimation of these dynamics even in the presence of injected faults. 1982-2012 IEEE.Scopu