Title :
Control reconfigurability-based placement strategy for FACTS devices
Author :
Qiu Qin ; Wu, N. Eva
Author_Institution :
Dept. of Electr. & Comput. Eng., Binghamton Univ., Binghamton, NY, USA
Abstract :
This paper considers the placement of Flexible AC transmission system devices into power systems with a criterion of maintaining a prescribed level of control reconfigurability. Control reconfigurability in this paper measures the small signal combined controllability and observability of a power system with an additional requirement on tolerance to loss of measurement data in any single measurement unit in the system, which have not been considered in the existing works. Control device placement is formulated as an optimization problem of finding a minimum number of new control devices to meet a prescribed control reconfigurability threshold. A binary search algorithm and a genetic algorithm are applied to Thyristor Controlled Series Compensators into a number of IEEE test systems. More specifically, Placement results for 14, 30, 57 and 118-bus IEEE test systems are presented.
Keywords :
controllability; genetic algorithms; observability; power transmission control; search problems; thyristors; 118-bus IEEE test system; 14-bus IEEE test system; 30-bus IEEE test system; 57-bus IEEE test system; FACTS device; binary search algorithm; control reconfigurability-based placement strategy; flexible alternating current transmission system; genetic algorithm; optimization problem; power system controllability; power system observability; thyristor controlled series compensator; Controllability; Equations; Genetic algorithms; Loss measurement; Mathematical model; Power capacitors; Thyristors;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580623