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S. Ganesh

Bio: S. Ganesh is an academic researcher from Anna University. The author has contributed to research in topics: Soft computing. The author has an hindex of 1, co-authored 2 publications receiving 2 citations.

Papers
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S. Ganesh1, R. Kanimozhi1
01 Jan 2016
TL;DR: The proposed method is used to obtain the status of the switches through Ant Colony Optimisation (ACO) technique to minimize the system power loss and maximize voltage profile while satisfying operating constraints.
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.

1 citations

Proceedings ArticleDOI
S. Ganesh1, R. Kanimozhi1
25 May 2016
TL;DR: 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.

1 citations


Cited by
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Journal ArticleDOI
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.
Abstract: The multi objectives in electrical distribution system are service restoration and minimization of Ohmic losses. These objectives can be achieved by artificial ant colony optimization through reconfiguration. Service restoration is also a major aspect for reliable service. If any fault occurs in the system, faulted zone is isolated from healthy system. This originates discontinuity in power supply. To maintain the continuity in power supply there is a necessity to provide service to these loads from adjacent healthy feeders through reconfiguration without infringement of radiality, load balance and critical parameters. In distribution system Ohmic losses are 30 to 40 percent. In order to minimize these losses, there is a need for reconfiguration of the system and perform the power flow analysis to get bus voltages, branch currents and power losses (i.e. real or Ohmic or copper loss and reactive power loss). A direct load flow analysis is adopted in the proposed work. 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.

2 citations