On-Line Transient Stability and Voltage Collapse Prediction Using Multi-Agent Technique

On-Line Transient Stability and Voltage Collapse Prediction Using Multi-Agent Technique

Info iconThis preview shows pages 1–12. Sign up to view the full content.

View Full Document Right Arrow Icon
On-Line Transient Stability and Voltage Collapse Prediction Using Multi-Agent Technique George G. Karady Ahmed A. Daoud Mansour A. Mohamed Fellow IEEE Visiting Scholar Electrical Engineering Dept., Electrical Engineering Dept., Arizona State University, Tempe, AZ, USA Suez Canal University, Port Said, Egypt ©2002 Arizona State University * *
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
ACKNOWLEDGEMENT Authors acknowledge the support of the EPRI-DoD project.
Background image of page 2
Introduction ± The modern electric power systems is vulnerable for faults, which can produce cascading outage. ± The most frequent fault scenario is a short circuit initiated transient stability problem . ± ± The transient instability can cause wide spread outages
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Problem Formulation ± In this study we assumed that a three-phase fault, occurs in a power system. ± The fault is cleared by the protection. ± After fault clearance, the system may oscillate and that results in the loss of synchronism of some generator or voltage collapse. ± This can initiate cascading failure
Background image of page 4
± The system stability can be maintained by switching off generators, but this may require load reduction in a latter state. ± A feasible remedial action is the fast valving of selected generators. ± This reduces the acceleration and oscillation of the generators without reduction of generation capacity. Problem Formulation
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Problem Formulation ± This paper propose a method for the prediction of: ± Transient instability ± Voltage instability ± Investigate the effectiveness the fast valving as a remedial action
Background image of page 6
Multi-Agent Technique ± Prediction Agent ± Predict system status after fault occurrence using measured data ± If generator instability is predicted the control agent is activated . ± Control Agent ± Select generators for fast valving ± Initiate fast valving
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Generators’ rotor Angle measurements ETMSP Fault Occurred Fault cleared at 0.12 sec. Measurement of generators rotor angles & velocities Prediction Agent (output ) System stable Control Agent (Fast Valving) Normal Operation NO NO YES YES Fig (1) Multi-agent technique
Background image of page 8
Prediction Agent Using Robotic Ball Catching ± In recent years, fast learning algorithms were developed in the robotics area. ± The robot measures the coordinate and speed of a moving object and predicts its future position within milliseconds. ± The moving object parameters are not needed for the prediction. ± This algorithm is adapted to predict generator instability
Background image of page 9

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Adapted Prediction Agent ± The moving object in ball catching algorithm is replaced by generator rotor angle. ± The vision system in robotic ball catching algorithm is replaced by measurements of rotor angle directly from generators in the power system.
Background image of page 10
Prediction Agent Operation ± The generator rotor angle, after a fault is measured for a predetermined time (0.5sec) ± Using this data a Coarse Tuning Algorithm predicts the approximate rotor angle.
Background image of page 11

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 12
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 45

On-Line Transient Stability and Voltage Collapse Prediction Using Multi-Agent Technique

This preview shows document pages 1 - 12. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online