Original scientific paper
https://doi.org/10.7305/automatika.2016.07.858
Study of Network Reconfiguration in Distribution Systems Using an Adaptive Modified Firefly Algorithm
Reza Sedaghati
; Beyza Branch, Islamic Azad University, Beyza, Iran
Mojtaba Hakimzadeh
; Department of Electrical Engineering, Ahram Branch, Islamic Azad University, Ahram, Iran
Hadi Fotoohabadi
; Department of Electrical Engineering, Dariun Branch, Islamic Azad University, Dariun, Iran
Ali Reza Rajabi
; Department of Electrical Engineering, Ahram Branch, Islamic Azad University, Ahram, Iran
Abstract
This paper suggests a new method based on the probabilistic load flow and Adaptive Modified Firefly Algorithm (AMFA) in order to evaluate the optimal management of the Distribution Feeder Reconfiguration (DFR) operation problems by considering a few Wind Turbines (WTs) in system and performance satisfaction of the proposed method is examined on the IEEE 32-bus standard test system. The significant objective functions in this paper includes: 1) Minimizing the total cost of active power losses in the network, 2) voltage profile improvement, 3) decreasing the present network total costs such as power production cost by the main network and distributed generations. Furthermore, a new stochastic solution based on Point Estimate Method (PEM) is proposed to effectively deal with the uncertainty related to the important random parameters such as active and reactive loads in addition to the wind speed variations. Thus, the suggested probabilistic framework must be considered in order to solve the reconfiguration problem with regard to uncertainties which caused by the wind turbines.
Keywords
Reconfiguration; Probabilistic load flow; Adaptive Modified Firefly Algorithm (AMFA)
Hrčak ID:
165485
URI
Publication date:
1.9.2016.
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