Imperial College London
Alternate

Professor Goran Strbac

Faculty of Engineering, Department of Electrical and Electronic Engineering

Chair in Electrical Energy Systems
 
 
 
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Contact

 

+44 (0)20 7594 6169g.strbac

 
 
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Assistant

 

Miss Guler Eroglu +44 (0)20 7594 6170

 
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Location

 

1101Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Mohtashami:2016:10.1109/TSG.2016.2533421,
author = {Mohtashami, S and Pudjianto, D and Strbac, G},
doi = {10.1109/TSG.2016.2533421},
journal = {IEEE Transactions on Smart Grid},
pages = {2656--2664},
title = {Strategic distribution network planning with smart grid technologies},
url = {http://dx.doi.org/10.1109/TSG.2016.2533421},
volume = {8},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper presents a multiyear distribution network planning optimization model for managing the operation and capacity of distribution systems with significant penetration of distributed generation (DG). The model considers investment in both traditional network and smart grid technologies, including dynamic line rating, quadrature-booster, and active network management, while optimizing the settings of network control devices and, if necessary, the curtailment of DG output taking into account its network access arrangement (firm or non-firm). A set of studies on a 33 kV real distribution network in the U.K. has been carried out to test the model. The main objective of the studies is to evaluate and compare the performance of different investment approaches, i.e., incremental and strategic investment. The studies also demonstrate the ability of the model to determine the optimal DG connection points to reduce the overall system cost. The results of the studies are discussed in this paper.
AU  - Mohtashami,S
AU  - Pudjianto,D
AU  - Strbac,G
DO  - 10.1109/TSG.2016.2533421
EP  - 2664
PY  - 2016///
SN  - 1949-3061
SP  - 2656
TI  - Strategic distribution network planning with smart grid technologies
T2  - IEEE Transactions on Smart Grid
UR  - http://dx.doi.org/10.1109/TSG.2016.2533421
UR  - http://hdl.handle.net/10044/1/43521
VL  - 8
ER  -
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