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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 />

88

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