Wind Power Monitoring and Control Based on Synchrophasor Measurement Data Mining

Mario Klarić, Igor Kuzle and Ninoslav Holjevac
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Mario Klarić: Manufacturing and Construction, Dalekovod JSC for Engineering, Zagreb 10000, Croatia
Igor Kuzle: Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb 10000, Croatia
Ninoslav Holjevac: Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb 10000, Croatia

Energies, 2018, vol. 11, issue 12, 1-23

Abstract: 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. The intermittent nature of solar and wind power can in general cause large problems for power system control. Parallel to this process, the aging of existing infrastructure also imposes requirements to utility budgets in the form of a need for large capital investments in reconstruction or maintenance of key equipment. Synchrophasor and other synchronized measurement 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 an 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.

Keywords: smart grid; wind power; synchronized measurements; PMU; data mining (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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