Controlling study of D-STATCOM based on reinforcement learning adaptive PID

Distribution Static Compensator (DSTATCOM) is a shunt compensation device which is generally used to solve power quality problems in distribution systems. In distribution power system, these power quality problems mainly arise due to the pulsed loads, which causes the degradation of the entire system performance. The control strategy of DSTATCOM plays an important role to meet the objectives. A novel adaptive control strategy for the DSTATCOM is based on the Reinforcement Learning Adaptive PID (RLA-PID). With this control method, the compensator can stabilize the PCC voltage around a prescribed value. A distributes power system is developed in MATLAB environment, the validity of the method proposed is verified.