Adaptive estimation of power system frequency deviation and its rate of change for calculating sudden power system overloads

Journal Article · Sun Apr 01 00:00:00 EST 1990 · IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (USA)

DOI:https://doi.org/10.1109/61.53060· OSTI ID:6737318

Girgis, A A; Peterson, W L ^[1]

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1. Clemson Univ., SC (USA). Dept. of Electrical and Computer Engineering

A new Kalman filtering-based technique is presented for estimating power system frequency deviation and its average rate of change during emergency operating conditions that may require load shedding. This method obtains the optimal estimate of the power system frequency deviation from noisy voltage samples and the best estimate of the mean system frequency deviation and its rate of change while accounting for low frequency synchronizing oscillations which occur during large disturbances. The proposed technique is a two stage algorithm which uses an adaptive extended Kalman filter in series with an adaptive linear Kalman filter.

• OSTI ID: 6737318
• Journal Information: IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (USA), Vol. 5:2; ISSN 0885-8977
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
29 ENERGY PLANNING
POLICY AND ECONOMY
POWER SYSTEMS
FREQUENCY MEASUREMENT
ALGORITHMS
COMPUTERIZED CONTROL SYSTEMS
FILTERS
LOAD MANAGEMENT
NOISE
ON-LINE MEASUREMENT SYSTEMS
RELAYS
CONTROL SYSTEMS
ELECTRICAL EQUIPMENT
ENERGY SYSTEMS
EQUIPMENT
MANAGEMENT
MATHEMATICAL LOGIC
ON-LINE SYSTEMS
240100* - Power Systems- (1990-)
990200 - Mathematics & Computers
296000 - Energy Planning & Policy- Electric Power