Distributed solar power application effects on short circuit protection in distributed generation - new techniques for short circuit protection in distributed generation


TEKE A., Yildirim E.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.34, sa.4, ss.2141-2158, 2019 (SCI-Expanded) identifier identifier

Özet

Distributed generation is a new application field regarding electricity generation and distribution. As this application grows, the network will face new challenges. One of the candidates for problems that may arise is the possibility of malfunction of the current relay coordination. Circuit breakers may be triggered, although there are no faults. Circuit breakers that must be triggered in the event of a fault might not interrupt the circuit unexpectedly. The network protection systems may lose their function. SAIDI (System Average Interruption Duration Index), SAIFI (System Average Interruption Frequency Index) and EENS (Expected Energy Not Served) values of the network may increase. In this study; wide application of distributed generation (especially solar energy plants) in the future is investigated and the possible effects on the existing relay coordination are predicted. In the network topology where the solar power plants are connected, the branches are systematically investigated in terms of safety. In order to conduct this investigation, the superposition analysis was applied for the first time in distributed generation short-circuit analysis. The superposition analysis serve practical and easy ways to examine the effects of distributed generation on the distribution network. The literature survey shows that the IEEE 13-Node or IEEE 34-Node radial distribution test feeder topologies have been frequently used when the distribution network is examined. However, instead of using these topologies, an alternative topology which is sufficient and more useful for the required PSCAD simulation has been developed for the sake of simplicity, in this study. New applications are proposed that will help to reduce the adverse effects that are predicted / identified during all these simulations and investigation studies.