HVDC Transmission Line Fault Identification: A Learning Based UAV Control Strategy

Electricity Transmission plays an imperative role in smooth provision of power to the consumers. High voltage direct current (HVDC) system has a lead over high alternate (HVAC) various aspects. As DC transmissions lines transmit electricity long distance, it is crucial find malfunctioning part line case faults occurrence. In this work, decision-making based unmanned aerial vehicle (UAV) control strategy presented for identifying fault location HVDC transmission lines. The technique developed on two layered systems, i.e., command station (Leader Agent) and UAV agents (Local Agents) control. Markov decision process (MDP) reward policy both defined mathematically been implemented MATLAB depict their behavior. resulting optimized through value iteration algorithm functions transition probabilities.