Title :
Controlling study of D-STATCOM based on reinforcement learning adaptive PID
Author :
Meng, Xing-Ping ; Wang, Hui ; Zhao, Liang ; Zhang, Hong
Author_Institution :
Dept. of Electr. Eng., Changchun Inst. of Technol., Changchun, China
Abstract :
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.
Keywords :
adaptive control; learning (artificial intelligence); learning systems; power distribution control; power supply quality; static VAr compensators; three-term control; D-STATCOM control; distribution power system; distribution static compensator; power quality; reinforcement learning adaptive PID control; shunt compensation device; Adaptive control; Automatic voltage control; Degradation; Learning; Power quality; Programmable control; Pulse power systems; STATCOM; System performance; Three-term control; DSTATCOM; Intelligent Control; Power quality; Reinforcement Learning Adaptive PID;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262681
