Probabilistic Reactive Power Optimization of Distribution Network Considering Stochastic Wind Speed and Load

Abstract:

Based on the probabilistic loss model of distribution network and the improved hybrid particle swarm algorithm, a reactive power optimization algorithm is presented, which encompasses the effects of stochastic wind speed and load. Firstly, with the control vector dimension’s length augmented and with the probabilistic loss method built, the reactive power optimization model is presented. Secondly, with the Niche operations embedded into the original PSO, an improved hybrid PSO algorithm is presented. Lastly, the corresponding software system program is developed in VC++ language and on basis of SQL SERVER platform. While this software system being supplied into a case, the experimental data have proved that this algorithm possesses more adaptability. At the same time, compared with the RTS algorithm, the calculating process is speeded.

• Periodical: Advanced Materials Research (Volume 684)
• Pages: 676-679
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.684.676
• Online since: April 2013
• Authors: Shu Heng Chen, Luan Chen, Yong Chen
• Keywords: Particle Swarm Optimization Algorithm, Probabilistic Model, Reactive Power Optimization, Uncertainty, Wind Generation

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