Furthermore, the study in presented an improved block-sparse adaptive Bayesian algorithm for completely controlling proportional-integral (PI) regulators in superconducting magnetic energy storage (SMES) devices. The results indicate that regulated SMES units can increase the power quality of wind farms.
Thus, the number of publications focusing on this topic keeps increasing with the rise of projects and funding. Superconductor materials are being envisaged for Superconducting Magnetic Energy Storage (SMES). It is among the most important energy storage systems particularly used in applications allowing to give stability to the electrical grids.
A SMES operating as a FACT was the first superconducting application operating in a grid. In the US, the Bonneville Power Authority used a 30 MJ SMES in the 1980s to damp the low-frequency power oscillations. This SMES operated in real grid conditions during about one year, with over 1200 hours of energy transfers.
Some application scenarios such as superconducting electric power cables and superconducting maglev trains for big cities, superconducting power station connected to renewable energy network, and liquid hydrogen or LNG cooled electric power generation/transmission/storage system at ports or power plants may achieve commercialization in the future.
The first step is to design a system so that the volume density of stored energy is maximum. A configuration for which the magnetic field inside the system is at all points as close as possible to its maximum value is then required. This value will be determined by the currents circulating in the superconducting materials.
This system is among the most important technology that can store energy through the flowing a current in a superconducting coil without resistive losses. The energy is then stored in act direct current (DC) electricity form which is a source of a DC magnetic field.