DocumentCode
2908610
Title
A distributed Command Governor Approach for voltage regulation in Medium Voltage power grids with distributed generation
Author
Tedesco, Francesco ; Casavola, Alessandro
Author_Institution
Dipt. di Ing. Elettron., Inf. e Sist. (DIMES), Univ. degli Studi della Calabria, Rende, Italy
fYear
2013
fDate
17-19 June 2013
Firstpage
3492
Lastpage
3497
Abstract
A distributed multi-agent supervision strategy (S-CG) based on Command Governor ideas is proposed to solve constrained voltage regulation problems in electrical Medium Voltage (MV) power grids in the presence of Distributed Generation (DG). The idea is that an active management of the set-points of some controllable variables of the grid, e.g. the power either provided by the distributed generators or consumed by the loads, can be an effective tool not only for maintaining relevant system variables within prescribed operative constraints in response to unexpected adverse conditions, but also for implementing some smart-grid functionalities. The supervision problem is formulated as a distributed constrained optimization problem by imposing that the voltages at certain nodes have, compatibly with all prescribed constraints and changed conditions, minimal deviations from their nominal values. Simulation results show that the proposed approach ensures, under certain conditions, feasible evolutions to the overall power grid under critical events.
Keywords
distributed power generation; multi-agent systems; optimisation; power generation control; smart power grids; voltage control; MV power grids; S-CG; active set-point management; constrained voltage regulation problems; controllable grid variables; distributed command governor approach; distributed constrained optimization problem; distributed generation; distributed multiagent supervision strategy; electrical medium voltage power grids; smart grid functionalities; system variables; Approximation methods; Generators; Load modeling; Power grids; Static VAr compensators; Vectors; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580371
Filename
6580371
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