Intraday Load Coordinated Scheduling Strategies under Orderly Electricity Consumption Scenario

This study introduces an optimized strategy for user selection and intraday load management in provincial and local grids, focusing on orderly electricity consumption. It employs a Contextual Multi-Armed Bandit model and the LinUCB algorithm to enhance demand response and grid efficiency. The framework includes a 10kV feeder load model and strategies for load control and recovery. The LinUCB algorithm, in particular, improves user participation and regret reduction, leading to more effective grid coordination. The study demonstrates the algorithm's efficiency in real-time grid management, offering a practical approach to power grid operations.