DDPG-based optimization method with distributed energy participating in distribution network voltage regulation

Abstract

The invention discloses a DDPG-based optimization method with distributed energy participating in distribution network voltage regulation. A deterministic depth deterministic strategy gradient algorithm is applied to distributed energy participating in distribution network voltage regulation. As the adopted DDPG algorithm is a model-friendly algorithm, the original distributed energy participatingin distribution network voltage regulation optimization strategy applies a Markov decision process method to be converted to a strategic decision problem, and the versatility of the algorithm is improved. The sample training stability is improved through applying a target network, easier convergence is achieved, and the method has the advantages of higher feasibility and lower operating cost.

Description

Technical field [0001] The embodiment of the present invention relates to the technical field of power systems, and in particular to a method for DDPG-based distributed energy participation in voltage regulation optimization of a distribution network. Background technique [0002] With the rapid development of China's economy, the power consumption of power users has increased, and the requirements for voltage quality have become higher and higher. On the one hand, during the peak period of user power consumption, higher demand active power flows through the line, which causes large line losses, serious voltage drops, and low voltage problems; on the other hand, because the level of my country’s power distribution system construction is compared with that of power generation , The power transmission system is backward, causing the voltage quality problem of the distribution network to be more prominent. At present, the most common voltage quality problems are low voltage, voltage...

AI Technical Summary

Problems solved by technology

[0008] Existing research on grid-connected distributed power generation is mainly aimed at scenarios where power loads and distributed power generation are both static, or in the optimization of distributed power generation planning methods. Most of these studies are aimed at reducing network losses and reducing investment in distributed power generation. Or the operating cost is the objective function, which can optimize the grid connection related issues of distributed power generation to a certain extent in the planning stage, but the research on the optimal control method of distribution network voltage for the uncertainty of load level and distributed power output still needs to be improved urgently. Algorithms are highly dependent on the model

Images