DocumentCode
2469343
Title
Distribution network reconfiguration to reduce losses and enhance reliability using binary gravitational search algorithm
Author
Esmaeilian, Hamid Reza ; Fadaeinedjad, Roohollah ; Attari, Sayyed Mahmoud
Author_Institution
Grad. Univ. of Adv. Technol., Kerman, Iran
fYear
213
fDate
10-13 June 213
Firstpage
1
Lastpage
4
Abstract
The main aim of distribution companies is to reduce the cost of customer interruptions and energy losses in order to achieve optimal utilization of network. Network reconfiguration is an effective method to achieve this goal. This paper presents an algorithm for optimal network reconfiguration to reduce loss and improve reliability using Binary Gravitational Search Algorithm (BGSA) based on Graph Theory (GT). The cost function of optimization problem includes the overall annual cost of the network energy losses and Energy Not Supplied (ENS) to customers. The state enumeration method based on the Weibull- Markov stochastic model of the network components is used to assess the system reliability. The proposed method is performed on a real grid in province of Kerman, Iran. Simulation results show both loss reduction and reliability enhancement compared to the situation before reconfiguration.
Keywords
Markov processes; Weibull distribution; cost reduction; graph theory; losses; optimisation; power distribution economics; power distribution reliability; power grids; power system simulation; power utilisation; search problems; stochastic processes; BGSA; ENS; GT; Iran; Kerman; Weibull-Markov stochastic model; binary gravitational search algorithm; cost function reduction; customer interruption; distribution network reconfiguration; energy not supplied; graph theory; loss reduction; network energy loss; optimal network utilization; optimization problem; reliability enhancement; state enumeration method;
fLanguage
English
Publisher
iet
Conference_Titel
Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
Conference_Location
Stockholm
Electronic_ISBN
978-1-84919-732-8
Type
conf
DOI
10.1049/cp.2013.0703
Filename
6683306
Link To Document