Research on Reactive Power Optimization Based on Genetic Algorithms in Distribution Network

Lin Yuan Wang

doi:10.4028/www.scientific.net/AMM.644-650.2476

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Research on Reactive Power Optimization Based on...

Research on Reactive Power Optimization Based on Genetic Algorithms in Distribution Network

Abstract:

The reactive power optimization is formulated based on genetic algorithms in distribution net work. SGA has defects of slow convergence and being prone to immature convergence. In order to eliminate the defects, an improved GA is proposed in this thesis. CIP scheme is presented, which can guarantee diversity of the population by designing the initial population to obtain all the values within the definition area. A parameter called individual distributing degree is defined to describe how individuals are distributed in the definition area. Adaptive mutation rate is defined as an exponential function of the retained generations of the Elitism, and it is in inverse proportion to individual distribution degree. It accelerates the convergent process.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2476-2478

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2476

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Online since:

September 2014

Authors:

Lin Yuan Wang*

Keywords:

Distribution Network, Improved Genetic Algorithm (IGA), Reactive Power Optimization

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* - Corresponding Author

References

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