DocumentCode
707803
Title
Optimal allocation of power routers in a STATCOM-installed electric grid with high penetration of wind energy
Author
Yi Deng ; Venayagamoorthy, Ganesh K. ; Harley, Ronald G.
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2015
fDate
10-13 March 2015
Firstpage
1
Lastpage
6
Abstract
Wind generation continues to increase as a source of renewable energy. However, adding intermittent renewable energy may lead to overloaded lines as well as low voltage buses. Static synchronous compensators (STATCOMs) can provide significant reactive power to ensure the voltage stability, but overloaded lines may still exist. Therefore, power routers, which route power away from overloaded lines to underutilized lines, are required. In order to provide the best power-flow control with the lowest cost, the power routers should be optimally designed, for both their ratings and locations. The coordination between the power routers and the STATCOMs should also be taken into consideration. This paper introduces a general approach to determine the optimal location and sizing of the power routers for a power system with overloaded lines, based on a particle swarm optimization (PSO) algorithm. Simulation studies on a 12-bus test system verify the proposed method.
Keywords
particle swarm optimisation; power grids; reactive power control; static VAr compensators; voltage control; wind power plants; PSO algorithm; STATCOM-installed electric grid; optimal allocation; overloaded lines; particle swarm optimization; power routers; power system; power-flow control; reactive power; static synchronous compensators; voltage stability; wind energy penetration; Automatic voltage control; Loading; Measurement; Power system stability; Power transmission lines; Reactive power; Resource management; Particle swarm optimization (PSO); STATCOM; power router; wind generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference (PSC), 2015 Clemson University
Conference_Location
Clemson, SC
Type
conf
DOI
10.1109/PSC.2015.7101695
Filename
7101695
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