Influence of FACTS Device Implementation on Performance of Distribution Network with Integrated Renewable Energy Sources

Filip Relić, Predrag Marić, Hrvoje Glavaš and Ivica Petrović
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Filip Relić: HEP Distribution System Operator Ltd., Elektra Sisak, 44000 Sisak, Croatia
Predrag Marić: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, University of Osijek, 31000 Osijek, Croatia
Hrvoje Glavaš: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, University of Osijek, 31000 Osijek, Croatia
Ivica Petrović: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, University of Osijek, 31000 Osijek, Croatia

Energies, 2020, vol. 13, issue 20, 1-15

Abstract: In the modern power system, Flexible Alternating Current Transmission System (FACTS) devices are widely used. An increased share of the distributed generation (DG) and the development of microgrids change the power flows in the existing distribution networks as well as a conventional power flow direction from the transmission to the distribution network level which may affect the overall stability aspects. The paper shows the FACTS devices’ implementation influence on the performance of the distribution network with integrated renewable energy sources (RES) observing the aspects of the oscillatory stability and the low-voltage motor starting. The FACTS devices, in particular the static var compensators (SVC), have been allocated according to a novel algorithm proposed in the paper. The algorithm uses an iterative process to determine an optimal location for implementation and rating power of SVC considering active power losses minimization, improvement of the voltage profile and maximizing return of investment (ROI) of FACTS devices. Novel constraints—transformer station construction constraint, SVC industrial nominal power value constraint and the constraint of distribution system operator (DSO) economic willingness to investment in the distribution network development are considered in the proposed algorithm. The analysis has been performed on 20 kV rural distribution network model in DIgSILENT PowerFactory software.

Keywords: distribution network; renewable energy sources; FACTS; oscillatory stability; motor starting (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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