Voltage Sag Compensation with DVR in Power Distribution System Based on Improved Cuckoo Search Tree-Fuzzy Rule Based Classifier Algorithm

Document Type: Research Paper


1 Electrical Power Engineering Department, Shahid Chamran university of Ahvaz ,Ahvaz, Iran

2 Electrical Engineering Department, Shahid Chamran University, Ahvaz, Iran


A new technique presents to improve the performance of dynamic voltage restorer (DVR) for voltage sag mitigation. This control scheme is based on cuckoo search algorithm with tree fuzzy rule based classifier (CSA-TFRC). CSA is used for optimizing the output of TFRC so the classification output of the network is enhanced. While, the combination of cuckoo search algorithm, fuzzy and decision tree classifier can create a hybrid classifier. Here, Fuzzy and decision tree algorithm will be sufficiently combined with cuckoo search algorithm. The proposed CSA-TFRC algorithm based DVR is simulated in MATLAB software with comparison of traditional DVR and neuro-fuzzy based DVR. Results show the ability of proposed algorithm to detect the voltage sag and make a fast compensation deals.