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Lightning and Power Transmission Lines. EE --- Term Paper By ---. Outline of Presentation. The Thunderstorm The Lightning Discharge (Stages) Lightning Currents and Related Parameters Protection of Power-Transmission Effect of Lightning on Power Transmission systems. The Thunderstorm.
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Lightning and Power Transmission Lines EE --- Term Paper By ---
Outline of Presentation • The Thunderstorm • The Lightning Discharge (Stages) • Lightning Currents and Related Parameters • Protection of Power-Transmission • Effect of Lightning on Power Transmission systems
The Thunderstorm • Global Distribution of Thunderstorms • The Thundercloud • Point-Discharge Currents • The Lightning Discharge
The Thundercloud • Two main classes: heat storms and frontal storms • Heat storm in tropics and mountain areas • Frontal storms in temperate regions • Characterized by the electrical charge of water droplets.
Point-Discharge Currents Electrostatic field distribution about vertical lightning conductor (could induce lightning discharge)
The Lightning Discharge (Stages) • Temporal Development of Flash to Ground • Mature Stage • The Leader Stroke • The Dart Leader
Lightning Currents and Related Parameters • Lightning Currents • Average lightning current amplitude is 25 kA (lowest 2kA, highest recorded 270 kA) • Frequency of Lightning Discharges (flash density) • Varies from place to place • Measured in thunderstorm days and lightning flash density • Lightning flash density for Greece = 3.7 (most recent data)
Protection of Power-Transmission Systems • Reasons for Protection • Avoid power disruptions • Lightning protection methods • The Air Terminal (overhead conductors) • Tower Impedance (ability of tower to resist lightning) • The Buried Earth System (underground grid of conductors) • Protective Leakage Paths-Pipe-Pipe Gaps (utilizes a gap between conductors) • Underground Cables (Utilizes insulation of the earth) • Lightning Arresters (acts as over-voltage release valves)
Effect of Lightning on Power Transmission systems • Lightning Location • Prediction of Lightning Activities
Lightning Location • Use of magnetic link locators, lightning counters location within country-wide networks • Recorded by Meteorological Services and Power distribution companies over time • Empirical formula for calculation of lightning flash density correlate well with actual flash density obtain from magnetic counters (most recent data obtained from Greece and Japan)
Prediction of Lightning Activities • Prediction based on a variety of methods • Modeling of lightning parameters • Prediction based on neural networks • Prediction based on fuzzy neural networks • All based on data obtained from lightning location from meteorological and power services.
Prediction based on Fuzzy Neural Networks • New technique used in Japan • Gave better prediction of lighting strike compared to neural networks • Limitations: only predicts lightning strike few hours before the strike.
Conclusions • Thunderstorms occur at highest at the equatorial belt and decreases towards the poles. Local thunderstorm activity varies from year to year. • Lightning data is available from the meteorological services of countries in the form of flash maps showing isokeraunic lines, i.e. lines joining areas have the same number of thunderstorm days. • The mechanism of light formation and discharge involves electrical charging of water droplets within a cloud leading to a dipole. The electrical field thus produces causes a cloud to cloud lightning discharge or a cloud to earth discharge. • The average lightning current of about 25 kA.
Conclusions continued • The earth flash density varies in different parts of the world with the earth flash density estimated at 1 to 2 flashes per 10 thunderstorm days. • A variety of protection mechanism exist for the lightning protection of transmission lines including ground conductors(air terminals), counterpoise , pipe-pipe gap, down-lead, grounding systems, underground cables and lightning arresters.
Conclusions continued • Traditional methods of lightning monitoring include the use of magnetic link direction finders and lightning counters. • Correlation between lightning data obtained from meteorological lightning networks and those obtained using standard formula show good agreement. • More modern methods have focused on lighting prediction using neural network and fuzzy neural network techniques, but these only provide prediction a couple of hours before the lightning strike.
End of Presentation Thank You