29 / 2023-09-23 15:34:06

Optimal Strategy of Power Grid Operation and Maintenance based on Artificial Neural Network

Power grid operation and maintenance,artificial neural network,reinforcement learning,uncertainty

3.Power system and automation > (1) Modeling, control and stability analysis in power system

Considering the uncertain characteristics of power grid operation, a reinforcement learning(RL) framework is designed to optimize power grid operation and maintenance. RL constructs an environment-dependent random behavior model. By using the running state of grid components for prediction and learning, the optimal decision-making behavior to maximize expected profits can be determined in an uncertain environment. Artificial neural network (ANN) tool is used to replace tabular representation of state-behavior value function, and a non-tabular RL algorithm integrated with ANN is designed to improve the adaptability of RL algorithm. Test results in small-scale power grid show that compared with reference Bellman optimality strategy, ANN has better Q-learning approximation ability, and collect valid information from predictive state of components, and can be used to support the optimal operation and maintenance strategy.