Imperial College London
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ProfessorBikashPal

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Power Systems
 
 
 
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Contact

 

+44 (0)20 7594 6172b.pal Website CV

 
 
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Assistant

 

Miss Guler Eroglu +44 (0)20 7594 6170

 
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Location

 

1104Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Nazir:2020:10.1109/tsg.2020.3002100,
author = {Nazir, FU and Pal, BC and Jabr, RA},
doi = {10.1109/tsg.2020.3002100},
journal = {IEEE Transactions on Smart Grid},
pages = {5314--5324},
title = {Distributed solution of stochastic volt/VAr control in radial networks},
url = {http://dx.doi.org/10.1109/tsg.2020.3002100},
volume = {11},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper presents a fully distributed algorithm for the stochastic Volt/VAr control (VVC) problem in active distribution networks. Exact convexification of the VVC problem is achieved through the use of second-order cones on the continuous relaxation of the original optimization structure. The global optimum solution of the relaxed problem is obtained through the application of the alternating direction method of multipliers (ADMM). In order to minimize the effect of rounding off on the final solution, an adaptive threshold discretization technique is used. A two-stage control strategy is adopted where the discrete controllers, like load tap changers and switched capacitors, are dispatched at the beginning of the optimization interval and the continuous controllers, like distributed generation (DG) inverters, are adjusted in real time according to an optimized decision rule. The superiority of the proposed algorithm is demonstrated through numerical simulations on the UKGDS-95 and the IEEE-123 bus systems.
AU  - Nazir,FU
AU  - Pal,BC
AU  - Jabr,RA
DO  - 10.1109/tsg.2020.3002100
EP  - 5324
PY  - 2020///
SN  - 1949-3053
SP  - 5314
TI  - Distributed solution of stochastic volt/VAr control in radial networks
T2  - IEEE Transactions on Smart Grid
UR  - http://dx.doi.org/10.1109/tsg.2020.3002100
UR  - https://ieeexplore.ieee.org/document/9115683
UR  - http://hdl.handle.net/10044/1/80224
VL  - 11
ER  -
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