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Volume 59, 2018

Volume 58, 2017

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Study of Network Reconfiguration in Distribution Systems Using an Adaptive Modified Firefly Algorithm

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Study of Network Reconfiguration in Distribution Systems Using an Adaptive Modified Firefly Algorithm

Content Provider	Taylor & Francis Online
Author	Rajabi, Ali Reza Sedaghati, Reza Fotoohabadi, Hadi Hakimzadeh, Mojtaba
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.
Starting Page	27
Ending Page	36
Page Count	10
File Format	PDF HTM / HTML
ISSN	00051144 18483380
DOI	10.7305/automatika.2016.07.858
Journal	Automatika
Volume Number	57
Issue Number	1
Language	English
Publisher	Taylor & Francis
Publisher Date	2017-01-20
Access Restriction	Open
Subject Keyword	Reconfiguration Probabilistic Load Flow Adaptive Modified Firefly Algorithm (AMFA) Rekonfiguracija Vjerojatnosni model tereta Adaptivni modificirani firefly algoritam
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science

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