RT Journal Article
A1 Jerneja Bogovic
AD Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, Ljubljana, Slovenia
A1 Urban Rudez
AD Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, Ljubljana, Slovenia
A1 Rafael Mihalic
AD Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, Ljubljana, Slovenia

PB iet
T1 Probability-based approach for parametrisation of traditional underfrequency load-shedding schemes
JN IET Generation, Transmission & Distribution
VO 9
IS 16
SP 2625
OP 2632
AB Underfrequency load shedding (UFLS) is one of the measures performed when an emergency situation occurs in the power system in order to prevent system collapse. Owing to its importance, a lot of effort is dedicated to research and development of the optimal UFLS. Therefore, several different approaches are available to improve the so-called traditional UFLS schemes into more sophisticated adaptive schemes. On the other hand, the literature lacks a systematic analysis of traditional UFLS schemes, which still present the majority within all UFLS schemes actually used in real power systems. For that reason, the probabilistic power flow is used to quantify the level of performance of many different configurations of traditional UFLS schemes (varied both in the number of shedding steps as well as their size) in the whole variety of operating conditions. With the use of probability power flow the probability density function of active-power imbalance is calculated. The obtained results enable to extract those configurations that yield the best results in most probable events and at the same time avoid giving too much attention on poor performance during less probable system conditions. The results were obtained by performing dynamic simulations on the north-western part of a Slovenian power system.
K1 probability approach
K1 probability density function
K1 UFLS parametrisation
K1 probabilistic power flow
K1 underfrequency load-shedding scheme
K1 Slovenian power system
K1 adaptive scheme
K1 active-power imbalance
DO https://doi.org/10.1049/iet-gtd.2015.0533
UL https://digital-library.theiet.org/;jsessionid=g8la8c47c3kpq.x-iet-live-01content/journals/10.1049/iet-gtd.2015.0533
LA English
SN 1751-8687
YR 2015
OL EN