Distribution System

Distribution system research focuses on optimizing the efficient and reliable delivery of electricity, addressing challenges posed by increasing renewable energy integration and fluctuating demand. Current research emphasizes the development of advanced forecasting models (e.g., using GCN-LSTMs, deep neural networks) and control algorithms (e.g., reinforcement learning, multi-agent systems) to manage voltage stability, minimize power losses, and enhance grid resilience. These advancements are crucial for improving grid operation, enabling greater renewable energy penetration, and ensuring reliable power delivery to consumers, with applications ranging from fault detection and location to optimal placement of grid infrastructure.