Consideration effect of wind farms on the network reconfiguration in the distribution systems in an uncertain environment

Abstract

This article proposes a novel probabilistic Distribution Feeder Reconfiguration (DFR) based method to consider the uncertainty impacts into account with high accuracy. In order to achieve the set aim, different scenarios are generated to demonstrate the degree of uncertainty in the investigated elements which are known as the active and reactive load consumption and the active power generation of the wind power units. Notably, a normal Probability Density Function (PDF) based on the desired accuracy is divided into several class intervals for each uncertain parameter. Besides, the Weiball PDF is utilised for modelling wind generators and taking the variation impacts of the power production in wind generators. The proposed problem is solved based on Fuzzy Adaptive Modified Particle Swarm Optimisation to find the most optimal switching scheme during the Multi-objective DFR. Moreover, this paper holds two suggestions known as new mutation methods to adjust the inertia weight of PSO by the fuzzy rules to enhance its ability in global searching within the entire search space.

Keywords:

• Wind power plant (WPP)
• distribution feeder reconfiguration (DFR)
• multi-objective distribution feeder reconfiguration (MDFR)
• fuzzy adaptive modified particle swarm optimization (FAMPSO)
• probability density function (PDF)
• wind turbine (WT)

Acknowledgement

The authors would like to thank the "Islamic Azad University" for providing the opportunity of this research.