Open AccessReal‐time event identification using synchrophasor data from selected buses
Author(s) -
Kundu Pratim,
Pradhan Ashok Kumar
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.1100
Subject(s) - identification (biology) , event (particle physics) , computer science , real time computing , physics , botany , quantum mechanics , biology
Events such as fault, line tripping, and load change occur frequently in a large power system. Online identification of such events can assist in the initiation of remedial measures i.e., control signals for better system performance, adjusting relay setting for more reliable protection operation in network, etc. This paper proposes a synchronized data‐based method for real‐time detection of events in a network to improve situational awareness. Impedance‐based indices calculated using synchronized voltage and line current data obtained from the selected locations in a network are used for this purpose. A method for selection of synchrophasor measurement buses in a network is also developed. Impedance observed at various locations in a network is sensitive to any change in network condition. The proposed indices are set to analyse such variations and detect the disturbance region and type of disturbance in the network. The network is grouped into different subsystems and measurements from a set of buses are required for detecting an event. The method is developed to detect three types of events in a network: fault, line tripping and load change. Results for New England 39 bus system show the accuracy of the method in identifying disturbance events for real‐time applications.