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mune <strong>to</strong> the single point of failure because<br />
t<strong>here</strong> is no central controller in the approach.<br />
Also the decentralized approach has more flexi‐<br />
bility and scalability compared <strong>to</strong> the central‐<br />
ized approach. However, the controllers in the<br />
decentralized system have limited access <strong>to</strong> the<br />
information of the system for control decisions.<br />
So, compared <strong>to</strong> the centralized approach, it is<br />
harder for the decentralized system <strong>to</strong> achieve<br />
the global optimal solution based on the limited<br />
information each controller has.<br />
Many of the proposed au<strong>to</strong>matic reconfiguration<br />
methodologies are developed for distribution<br />
system reconfiguration. The distribution system<br />
is usually reconfigured for res<strong>to</strong>ring the loads in<br />
the distribution system, decreasing the power<br />
loss in the distribution system, stabilizing the<br />
distribution system, etc.<br />
Schmidt et al [3] put forward a fast integer pro‐<br />
gramming based reconfiguration methodology<br />
<strong>to</strong> minimize the power loss in a distribution sys‐<br />
tem. The power loss in the distribution system is<br />
the electric power that is consumed by transmis‐<br />
sion equipments, such as transformers, cables,<br />
wires, etc. This methodology is only applicable <strong>to</strong><br />
radial power systems.<br />
Tzeng et al [4] proposed a feeder reconfiguration<br />
methodology for the distribution system. In that<br />
particular research, dynamic programming is<br />
used <strong>to</strong> find the optimal switching actions for<br />
load balancing in a distribution system. In a<br />
power system, the loads get electric power sup‐<br />
ply from load feeders. The load feeders that sup‐<br />
plies more loads need more current injections<br />
than those load feeder supplying lesser loads.<br />
This will cause the imbalanced current distribu‐<br />
tion in the power system. With the same loads<br />
supplied in the power system, the imbalanced<br />
current distribution in the power system leads <strong>to</strong><br />
more power loss than balanced current distribu‐<br />
tion in the power system. The imbalanced cur‐<br />
<strong>MIMET</strong> Technical Bulletin Volume 1 (2) 2010<br />
rent in the power system also leads <strong>to</strong> the over<br />
current problem and stability problem. The load<br />
feeders in the power system need <strong>to</strong> be bal‐<br />
anced by switching the circuit breakers and<br />
other switching devices so that the current dis‐<br />
tribution in the power system can be balanced..<br />
Gomes et al [5] proposed a heuristic reconfigura‐<br />
tion methodology <strong>to</strong> reduce the power loss in a<br />
distribution system. In this work, the optimal<br />
power flow and sensitivity analysis are used <strong>to</strong><br />
find the reconfiguration solution. This reconfigu‐<br />
ration methodology is only applicable <strong>to</strong> radial<br />
power systems.<br />
Hsu et al [6] proposed a reconfiguration method‐<br />
ology for transformer and feeder load balancing<br />
in a distribution system. When the number of<br />
loads that are supplied through a load feeder<br />
increases, the current injection <strong>to</strong> the load<br />
feeder increases. The current that flows through<br />
the transformer is connected <strong>to</strong> the load feeder<br />
increases, <strong>to</strong>o. It may lead <strong>to</strong> the risk of over cur‐<br />
rent on the transformers and the transmission<br />
lines in the system. The proposed reconfigura‐<br />
tion methodology is based on heuristic search.<br />
Another heuristic search based reconfiguration<br />
algorithm was proposed by Wu et al [51]. In the<br />
research, the reconfiguration methodology was<br />
applied <strong>to</strong> the radial power system for service<br />
res<strong>to</strong>ration, load balancing, and maintenance of<br />
the power system. Zhou, et al [7] put forward a<br />
heuristic reconfiguration methodology for distri‐<br />
bution system <strong>to</strong> reduce the operating cost in a<br />
real time operation environment. The operation<br />
cost in the power system is the power loss in the<br />
distribution system. The operation cost reduc‐<br />
tion is based on the long term operation of the<br />
power system.<br />
The knowledge based systems, such as expert<br />
systems, have also been applied <strong>to</strong> the recon‐<br />
figuration of power systems for a long time.<br />
| MARINE FRONTIER @ <strong>UniKL</strong><br />
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