Proceedings ArticleDOI
An effective soft computing technique for network reconfiguration in distribution system
S. Ganesh,R. Kanimozhi +1 more
- pp 1-6
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TLDR
In this article, a method for network reconfiguration to minimize the system power loss and maximize voltage profile while satisfying operating constraints is proposed, which is tested on a 33-bus distribution system with five different kinds of load levels.Abstract:
This paper proposes a method for network reconfiguration to minimize the system power loss and maximize voltage profile while satisfying operating constraints. The proposed method is used to obtain the status of the switches through Ant Colony Optimisation (ACO) technique. The backward forward sweep method is used to calculate the power flow in a radial distribution system and the power loss reduction is done by using the ACO. The effectiveness of the proposed method is demonstrated on 33-bus single feeder distribution network using MATLAB. The proposed algorithm is tested on a 33-bus distribution system with five different kinds of load levels.read more
Citations
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Journal ArticleDOI
AACO technique for solving multiobjectives in electrical distribution system
P. Ravi Babu,Srivani Molughu +1 more
TL;DR: In this paper four feeder test system used for service restoration and IEEE 33 bus, IEEE 69 bus test systems for minimization of Ohmic losses have been obtained.
References
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Journal ArticleDOI
A new algorithm for the reconfiguration of distribution feeders for loss minimization
Swapan Kumar Goswami,S.K. Basu +1 more
TL;DR: In this article, a power-flow-minimum heuristic algorithm for determining the minimum loss configuration of radial distribution networks is presented. But the algorithm is based on the concept of optimum flow pattern which is determined by solving the KVL and KCL (Kirchoff's voltage and current laws) equations of the network.
Journal ArticleDOI
Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm
TL;DR: A harmony search algorithm (HSA) is proposed to solve the network reconfiguration problem to get optimal switching combination in the network which results in minimum loss and is observed that the proposed method performed well compared to the other methods in terms of the quality of solution.
Journal ArticleDOI
Artificial neural-network based feeder reconfiguration for loss reduction in distribution systems
TL;DR: Strategies are proposed to reconfigure the feeder in distribution systems by using artificial neural networks (ANNs) with mapping ability to reduce the power loss according to the variation of load pattern.
Journal ArticleDOI
Distribution system reconfiguration using a modified Tabu Search algorithm
TL;DR: In this article, a modified Tabu Search (MTS) algorithm is used to reconfigure distribution systems so that active power losses are globally minimized with turning on/off sectionalizing switches.
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