Power system event detection and localization—A new approach

• Published in: Electric power systems research 2023-10, Vol.223, p.109553, Article 109553
• Main Authors: Aalam, Mir Khadim, Shubhanga, K.N.
• Format: Article
• Language: English
• Subjects: Event detection; Loss of synchronism; PAD; PMU; WAMS
• ISSN: 0378-7796; 1873-2046
• DOI: 10.1016/j.epsr.2023.109553

Time-synchronized estimates acquired using the Wide Area Measurement System (WAMS) have substantially helped enhance the health of the modern power grid. WAMS data when used in conjunction with appropriate tools can aid in the timely detection of power system events. With the continuous expansion of the WAMS network, identification of events and narrowing down on their location is emerging as a serious challenge for power system operators. Therefore, in this paper an event detection and localization tool is developed which analyzes data obtained from multiple Phasor Measurement Units (PMUs) installed throughout the WAMS network in order to identify the occurrence of an event. The effectiveness of this tool is demonstrated using practical signals from the ISO-NE power system and simulation based signals obtained from a 4-machine 10-bus system. Occurrence of an event is flagged by comparing the wavelet energy and standard deviation values of a PMU signal against a threshold. An event localization algorithm based on the number of PMUs involved in the event detection stage is proposed. Based on the presented algorithm, disturbances are classified as local or wide-spread events. Finally, a method to identify a loss-of-synchronism condition using phase angle difference (PAD) signals obtained across transmission lines is also proposed. •An event detection, localization and classification method is proposed.•Multiple-PMU data is processed in order to identify the occurrence of an event.•Events are classified employing the “considerable excursion” criteria.•Method to predict loss-of-synchronism condition using PAD signals is also proposed.