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Journal of Applied Sciences
  Year: 2014 | Volume: 14 | Issue: 14 | Page No.: 1600-1605
DOI: 10.3923/jas.2014.1600.1605
 
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Optimal Sizing of Shunt Capacitors and its Placement in Unbalanced Radial Distribution Network for Power Loss Reduction Using Evolutionary Programming

K. Muthukumar and S. Jayalalitha

Abstract:
Distribution systems are the end nodes that connect the consumers and the power utility. Power loss in distribution lines are high due to unbalance loads and unequal conductor sizes, causes a large voltage drop along the feeder lines. Hence the consumers at end nodes are affected by low voltage problem. Voltage at different nodes of the distribution network must be controlled by controlling the reactive power flow. Reactive power can be injected near to the consumer end by connecting shunt capacitors to reduce the reactive component of line current and hence voltage drops. Identification of optimal location and shunt capacitor size renders enhancement in voltage profile, power loss reduction etc. Evolutionary Programming (EP) approach is adopted to find out best possible size of the capacitors to be placed for minimizing the active power loss. Voltage Stability Index (VSI) is computed for all nodes to indicate the potential point for reactive power compensation. EP uses the fitness function information directly, instead of its derivatives which makes EP, a highly flexible and robust when compared with the conventional optimization methods. The proposed technique is implemented on modified IEEE 13-bus unbalanced radial distribution system by removing the voltage regulator from the standard IEEE 13 bus test system.The simulation results shows that the proposed method can reduce power losses which highlight the capability of the proposed technique for minimizing the power loss in distribution systems.
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How to cite this article:

K. Muthukumar and S. Jayalalitha, 2014. Optimal Sizing of Shunt Capacitors and its Placement in Unbalanced Radial Distribution Network for Power Loss Reduction Using Evolutionary Programming. Journal of Applied Sciences, 14: 1600-1605.

DOI: 10.3923/jas.2014.1600.1605

URL: https://scialert.net/abstract/?doi=jas.2014.1600.1605

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