Naslov
Wind Power Monitoring and Control Based on Synchrophasor Measurement Data Mining

Autori
Klarić, Mario ; Kuzle, Igor ; Holjevac, Ninoslav

Izvornik
Energies (1996-1073) 11 (2018), 12; 3525, 23

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
smart grid ; wind power ; synchronized measurements ; PMU ; data mining

Sažetak
More and more countries and utilities are trying to develop smart grid projects to make transformation of their power infrastructure towards future grids with increased share of renewable energy production and near zero emissions. Intermittent nature of solar and wind power can in general cause large problems for power system control. In parallel to this process, the aging of existing infrastructure also imposes requirements to utility budgets in form of a need for the large capital investments in reconstruction or maintenance of key equipment. Synchrophasor and other synchronized measurements technologies are setting themselves as one of the solutions for larger wind power integration. With that aim, in this paper one possible solution for wind power control through data mining algorithms used on a large quantity of data gathered from phasor measurement units (PMU) is described. Developed model and algorithm are tested on IEEE 14 bus test system as well as on real measurements made on wind power plants currently in operation. One such wind power plant is connected to the distribution grid and the other one to the transmission grid. Results are analyzed and compared.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA