Reliability Margin Decision Method of Multi-region Transmission Channel Based on Depth Deterministic Strategy Gradient

In order to optimize the decision-making model of multi-region transmission channel margin, the optimal decision-making model aiming at the maximum net income of each region is first constructed, and then the decision-making physical model of multi-region transmission channel margin is constructed considering the influence of uncertainties such as wind power and load fluctuation. In view of the high and continuous dimensions of the decision variables of the model, the multi-agent depth deterministic strategy gradient algorithm is used to solve the problem of slow convergence of traditional multi-agent reinforcement learning algorithms. Finally, the simulation results of IEEE118 nodes verify the effectiveness of the multi-agent depth deterministic strategy gradient algorithm for solving multi-region TRM decision problems..