A Novel Time Synchronization Method for Smart Grid Based on Improved Wolf Colony Algorithm-Cuckoo Search Optimized Fuzzy PID Controller

This paper develops a high-precision time synchronization control method based on IEEE 1588 protocol. A novel control technique based on the hybridization of the improved wolf colony algorithm and cuckoo search algorithm (hybrid IWCA-CS) is used to dynamically adjust the fuzzy PID controller parameters to reduce the error of the master-slave clock. To make better performance of the conventional wolf colony algorithm (WCA), it is improved by using the Bloch coordinate encoding to determine the initial population and adding inertial weights to balance the search ability of the algorithm. The proposed hybrid IWCA-CS combines the best attributes of WCA’s global search and local search of cuckoo search (CS). In optimizing benchmark function experiments, the proposed hybrid IWCA-CS presents a superior performance compared to other soft computing methods. Furthermore, the hybrid IWCA-CS optimized controllers with different structures are presented to demonstrate its dynamic response characteristics. The results show that IWCA-CS tuned fuzzy PID controller shows the best dynamic performance as compared to PID/PI controllers. And the IWCA-CS based fuzzy PID controller is less sensitive to step load disturbance and parameter changes. Finally, the effectiveness of the proposed time synchronization control method in this paper over published methods is further confirmed by employing in power information collection system (PICS).