High Precision Time Synchronization Algorithm for Smart Grid Based on Adaptive Filtering with Modified Particle Swarm Optimization

Abstract:

The time synchronization network provides time benchmark tasks for various services in electric power system. With the development of the power grid, the applications require more and more accurate time synchronization precision. In this paper, a method of time synchronization based on adaptive filtering with a modified particle swarm optimization (MPSO-AF) was presented to satisfy the high precision and high security requirements of the time synchronization for smart grid. The modified PSO was introduced for tuning the weight coefficients of the adaptive filter to improve the filtering property. The proposed MPSO-AF hybrid algorithm can combine the advantageous properties of the modified PSO and the adaptive filtering algorithm to enhance the performance of the time synchronization. A comparison of simulation results shows the optimization efficacy of the algorithm.

• Periodical: Advanced Materials Research (Volumes 860-863)
• Pages: 2501-2506
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.860-863.2501
• Online since: December 2013
• Authors: Wen Hua Han*, Xiao Hui Shen
• Keywords: Adaptive Filtering, IEEE1588, PSO, Smart Grid (SG), Time Synchronization

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