Feedback Particle Swarm Optimization for Shipboard Power System Restoration

Abstract:

The fast network restoration is required to restore the Shipboard power system (SPS) to near pre-fault condition for proper functioning. This paper proposed an improved Particle Swarm Optimization for restoration of shipboard power system. Firstly, we proposed an improvement strategy of S-Curve Decreasing Inertia Weight. Secondly, the feedback mechanism was introduced to improve the algorithm rate of convergence. Particle swarm optimization algorithm enables to find the optimal combination of loads that can be supplied after the occurrence of the fault, considering the priorities of the loads and the constraint of balance between the total load and total generation. The proposed method is applied to a naval shipboard power system model.

• Periodical: Advanced Materials Research (Volumes 1070-1072)
• Pages: 1902-1905
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.1902
• Online since: December 2014
• Authors: Yang Chen*, Yan Cheng Liu, Chuan Wang
• Keywords: Feedback Mechanism, Particle Swarm Optimization (PSO), Restoration, Shipboard Power Systems (SPS)

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