ATC Estimation Approach Applying Co-Evolutionary Strategy

Abstract:

Under electricity market environment, it is very important how to calculate available transfer capacity (ATC) of power grids with high speed and precision, and how to ensure its safety and stability. In order to resolve the issue more effectively and operate the power systems more efficiently, in this paper an co-evolutionary strategy is proposed for ATC estimation based on particle swarm optimization (PSO) and artificial fish swarm algorithm (AFSA), where PSO and AFSA are respectively improved to boost the efficiency. In the end, simulation studies show that the proposed method is capable of estimating ATC with high speed and sufficient precision.

• Periodical: Applied Mechanics and Materials (Volumes 423-426)
• Pages: 2275-2290
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.423-426.2275
• Online since: September 2013
• Authors: Ai Ping Chai*
• Keywords: AFSA Algorithm, Co-Evolutionary Strategy, PSO, Transmission Capacity

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