Optimal power flow calculation system and method based on deep reinforcement learning optimization particle swarm algorithm

Abstract

The invention discloses an optimal power flow calculation system and method based on a deep reinforcement learning optimization particle swarm algorithm. The invention discloses an optimal power flow calculation system based on a deep reinforcement learning optimization particle swarm optimization algorithm, and the system comprises a historical optimal power flow optimization function construction module which obtains historical power data in a historical power system, and constructs a historical optimal power flow optimization function; the actor network model training module randomly initializes particle swarm algorithm parameters, and adopts a deep reinforcement learning algorithm to train an actor network model; the target power flow optimization function construction module extracts target power data in the target power system and constructs a target power flow optimization function; a target optimal power flow optimization function solving module obtains a target optimal power flow optimization function by adopting an actor network model according to the target power flow optimization function; the operation parameter adjusting module adjusts the operation parameters of the target power system according to the target optimal power flow optimization function, and the workload of manually adjusting the parameters is reduced through automatic parameter adjustment.

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