The dataset contains fundamental approaches regarding modeling individual photovoltaic (PV) solar cells, panels and combines into array and how to use experimental test data as typical curves to generate a mathematical model for a PV solar panel or array.
The work starts with a short overview of grid requirements for photovoltaic (PV) systems and control structures of grid-connected PV power systems. Advanced control strategies for PV power systems are presented next, to enhance the integration of this technology. The aim of this work is to investigate the response of the three-phase PV systems during symmetrical and asymmetrical grid faults.
The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.
The electric power system of a deep space vehicle is mission-critical, and needs to respond to faults intelligently and autonomously.
An algorithm to determine the optimal operation of such a system is presented in the paper: P. Kulkarni, D. Aliprantis, B. Loop and N. Wu, 'Autonomous Power Dispatch for a Deep Space Vehicle Power System,' Proc. 2020 IEEE Power and Energy Conf. at Illinois (PECI), Champaign, IL.
This dataset contains the complete information about the system used in the case studies in this paper.
I am an applied physics scientist and an elctric engineer, focusing on solar photovoltaic science and engineerings, in particular PV/storage smart powering system.
