Modelling 132 kV Substation for Surge Arrester Studies

Design of 132 / 33 KV Substation

Metal-oxide surge arrester model for fast transient simulations

Metal-oxide surge arresters have dynamic characteristics that are significant for overvoltage coordination studies involving fast front surges. Several models with acceptable accuracy have been proposed to simulate this frequency-dependent behavior. Difficulties arise in the calculation and adjustment of the model parameters: in some cases iterative procedures are required, in others the necess...

Sensitivity Assessment of Lightning Protection Device Aging Effect on Distribution Substation Insulation

 Insufficient electrical endurance of equipment and insulation failure against overvoltage is one of the most effective reasons for failure the power line. Lightening, switching or other disruptive parameters can cause line outage or distribution substation failure. There are different devices used to improve the safety, reliability, and power quality of the system. Surge arresters are one of t...

Surge Arrester Simulation in Fourier Transients Programs of Transmission Systems

The importance of simulating surge arresters in fast transients programs stems from their useful property as a means of controlling switching overvoltages in EHV and UHV systems. The paper proposes a surge arrester model to be used in conjunction with a transient program based on Fourier transform technique. The validity of the proposed model is demonstrated by computational results.

Estimation of parameters of metal-oxide surge arrester models using Big Bang-Big Crunch and Hybrid Big Bang-Big Crunch algorithms

Metal oxide surge arrester accurate modeling and its parameter identification are very important for insulation coordination studies, arrester allocation and system reliability. Since quality and reliability of lightning performance studies can be improved with the more efficient representation of the arresters´ dynamic behavior. In this paper, Big Bang – Big Crunch and Hybrid Big Bang – Big Cr...