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Distributed Generation (DG) Capacity Planning for Composite Distribution System using Monte Carlo Simulation and Artificial Neural Network

Rachna Shingode

Abstract


This paper gives a taxonomical evaluation on distributed era (DG) planning within the distribute on electricity Community from exceptional electricity system performances such as minimization of real and reactive power loss, enhance electricity gadget load capacity, decorate power machine balance, decorate strength device reliability, beautify strength gadget security, beautify available power transfer capacity, enhance energy gadget oscillations, extra flexible operation and bandwidth, decorate voltage profile, lessen short circuit ability of line, greater real and reactive electricity aid and environmental friendly (green residence gases) point of view. This paper also provides the contemporary fame of DG making plans in a dispensed energy community. This survey article could be very plenty beneficial for scientific men and women, business folks and researchers in the field of DG making plans in distribution power device networks.


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The network limitation has not been considered in this work which may be considered in future work.

Voltage stability in distribution system may be determined.

Probability of failure gives probable time for which load exceed the capacity. The algorithm of this paper may be extended to obtain other reliability indices e.g. expected demand not supplied (ENDS), expected energy not supplied (EENS).

References:

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Y.G. Hegazy, M.M.A. Salama, A. Y. Chikhani, “Adequacy Assessment of Distributed Generation Systems, Vol. 18, No. 1, Feb., 2003” PP.48-52.

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Power System Res. 71(2004), PP.119-128.

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T. Ackermann, G. Andersson, K.L.Soder,”Distributed Generation: Adefinition, “Electric Power System Res. Vol.57, PP.195-204, 2001.

Roy Billinton and W. Li, “Reliability Assessment of Electric Power System using Monte Carlo Methods”, New York; Plenum1994.


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