2024 : 10 : 6
Hassan Bevrani

Hassan Bevrani

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 55913436700
HIndex:
Faculty: Faculty of Engineering
Address: Dept. Of Electrical and Computer Eng, University of Kurdistan, Allameh Hamdi Blvd, Sanandaj PO Box 416, P. C: 66177-15175, Kurdistan, Iran
Phone: +98-87-33624001

Research

Title
Virtual Dynamics Shaping in Renewable Integrated Power Grids
Type
Speech
Keywords
Virtual Dynamics, Renewable, Power Grids
Year
2021
Researchers Hassan Bevrani

Abstract

A key solution in response to the challenge of economical harvesting of electrical energy and considering the environmental issues, could be to integrate more and more distributed generators (DGs) and renewable energy sources (RESs) in the electric network. However, recent studies have investigated that relatively high DGs/RESs integration will have some negative impacts on power grid dynamics, power quality, frequency control, voltage regulation, as well as other control and operation issues. In consequence, this challenge significantly limits the rate of renewable power penetration as well as overall system stability margin. Decreasing system inertia, increasing uncertainties and highly dynamic variable nature of DGs and RESs are known as the main reasons. These impacts may increase for the dynamically week power grids at the penetration rates that are expected over the next several years. An idea towards stabilizing a grid with numerous distributed DGs/RESs is to compensate system inertia and weak dynamics, virtually. This may be established by a primary power source (e.g., DG or an energy storage) together with a smart controlled power electronics inverter/converter. This setup will then operate to emulate desirable dynamics, such as inertia and damping properties, by flexible shaping of its output active and reactive powers. This approach provides a promising solution to improve power grid stability and performance in the presence of a high penetration of DGs/RESs. In this speech, recent advances on power grid dynamics shaping using controlled power inverters will be emphasized.