DocumentCode :
715168
Title :
Network clustering for voltage control in active distribution network including energy storage systems
Author :
Bahramipanah, Maryam ; Nick, Mostafa ; Cherkaoui, Rachid ; PAOLONE, MARIO
Author_Institution :
Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fYear :
2015
fDate :
18-20 Feb. 2015
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a network partitioning strategy for the optimal voltage control of Active Distribution Networks (ADNs) by means of Dispersed Energy Storage Systems (DESSs). The proposed partitioning is based on the concept of voltage sensitivity coefficients and is adopted for a decentralized voltage-control strategy specifically developed for radial ADNs. The aim of the partitioning is to decompose the network into quasi-autonomous areas and to limit the information exchange only at the interfacing nodes between adjacent areas. The information exchange relies on Thévenin equivalents to represent the external grids of each cluster/area. The effectiveness of the proposed decentralized control approach is assessed with respect to an equivalent centralized control approach. Such an assessment is carried out using a numerical example referring to IEEE 123 buses distribution test feeder suitably adapted to include stochastic generation and DESSs.
Keywords :
IEEE standards; energy storage; optimal control; power distribution control; voltage control; DESS; IEEE 123 buses distribution test feeder; Thévenin equivalents; active distribution network; decentralized control approach; decentralized voltage-control strategy; dispersed energy storage systems; energy storage systems; equivalent centralized control approach; network clustering; optimal voltage control; quasiautonomous areas; stochastic generation; voltage sensitivity coefficients; Decentralized control; Load flow; Partitioning algorithms; Reactive power; Sensitivity; System-on-chip; Voltage control; Active distribution networks; Thévenin equivalent model; distributed control; network clustering; voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/ISGT.2015.7131916
Filename :
7131916
Link To Document :
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