A novel approach for distributed renewable generation and shunt capacitor placing in smart-grid

This paper presents a novel method for the selection of appropriate location and calculation of the size of distributed generation (DG) and sizing of shunt capacitors in radial distribution systems. This methodology is based on wavelet neural network (WNN) which requires less computational burden co...

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Bibliographic Details
Main Authors: Ozgonenel, Okan, Karagol, Serap, Terzi, Umit Kemalettin
Format: Conference Proceeding
Language:English
Subjects:
Biological neural networks
Capacitor placing
Capacitors
DG planning
Distributed power generation
Indexes
Load Flow Algorithm
Optimization
Planning
Reactive power
Wavelet neural network
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Summary:This paper presents a novel method for the selection of appropriate location and calculation of the size of distributed generation (DG) and sizing of shunt capacitors in radial distribution systems. This methodology is based on wavelet neural network (WNN) which requires less computational burden compared to traditional ones. The proposed optimization technique takes into consideration minimizing the cost of peak power, reducing energy loss and improving voltage stability index. The proposed method of optimization is then compared with the golden section search (GSS), grid search (GS), and Acharya's heuristic method (AHM) on different IEEE radial buses, i.e. 12 bus, 12 bus with DG, 33 bus, 33 bus with DG. The results demonstrates that WNN provides more economical solution by reducing power losses, energy loss, total requiring capacitive compensation and presents a good improvement in nodes voltage.
ISSN:2165-4816
2165-4824
DOI:10.1109/ISGTEurope.2014.7028983