Novel Method for Coordinated Control of Active Distribution Network Parti-tioning Based on Deep Deterministic Policy Gradient Algorithm
With the continuous proliferation and application of distributed new energy sources in the power distribution network,traditional distribution network control methods are no longer able to meet the increasingly complex demands of active distribution network control.To ad-dress this issue,the article proposes a novel control method based on deep learning technology.Firstly,a new active distribution network zoning method is designed to solve the problem of lo-cal active power balance caused by fluctuations of new energy within the active distribution net-work.Subsequently,a multi-layer optimization control Markov decision model for the new ac-tive distribution network is established.Finally,the optimization model is solved using the deep deterministic policy gradient algorithm.Simulation results show that the proposed method can effectively respond to the control demands of the new active distribution network and enhance its control level.
New active distribution networkdynamic zoningartificial intelligencecollabora-tive controldistributed energy resources
万方数据
维普
