Risk management analysis with the help of lightning strike mapping around 500 k-v grid station using artificial intelligence technique

Lightning has been one of the major problems for insulation design of power systems and it is still one of the main causes of forced outages in transmission and distribution lines. It is necessary to protect the power apparatus from over volts in electric system caused by lightning over voltages. Artificial intelligence (AI) techniques, such as expert system (ES), fuzzy logic (FL), and artificial neural network (ANN), and genetic algorithm (GA), techniques can solve complex engineering problems which are difficult to solve by traditional methods. This research focuses on (AI) technique i.e. fuzzy logic on mapping the lightning strike area around 500 k-v Grid station based on; level of strike (high, medium, low) and category of lightning (positive cloud-to-ground, negative cloud-to-ground, flash).Predefined areas around 500k-v Sheikh muhammadi Grid station Peshawar is chosen as a case study. This research will be helpful in risk management and lightning protection analysis by determining the area and characterizing the lightning strikes around the Grid station.