A Determination Method for Grading Capacity of Reactive Power Compensation Using AFSA to Refine Research

Abstract:

Reactive power is extremely important in the power system. To do reactive power compensation in place where reactive power is consumed a more reasonable approach. Traditional grading capacity of reactive power compensation determination methods are prone to sub or over-compensation. This paper firstly established a grading capacity of reactive power compensation optimization model; then introduced the artificial fish swarm algorithm(AFSA) method for grading capacity of reactive power compensation; finally the proposed algorithm is verified through an example and compared with those based on other optimization search algorithm. The results show that using AFSA to determine the classification of reactive power compensation capacity leads to higher efficiency.

• Periodical: Applied Mechanics and Materials (Volumes 448-453)
• Pages: 2398-2405
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.448-453.2398
• Online since: October 2013
• Authors: Run Ze Ma
• Keywords: Artificial Fish Swarm Algorithm, Grading Capacity, Optimization Search, Reactive Power Compensation

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