2001
DOI: 10.1109/39.948616
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A new approach for placement of FACTS devices in open power markets

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Cited by 103 publications
(76 citation statements)
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“…Effect of FACTS devices on power system security, reliability and loadability has been studied according to proper control objectives [5][6][7][8][9][10][11][12][13][14][15]. Some of papers have been tried to find suitable location for FACTS devices to improve power system security and loadability [14][15][16][17].…”
Section: Fig 1 Considered Facts Devices (A) Tcsc (B) Svc (C) Upfcmentioning
confidence: 99%
“…Effect of FACTS devices on power system security, reliability and loadability has been studied according to proper control objectives [5][6][7][8][9][10][11][12][13][14][15]. Some of papers have been tried to find suitable location for FACTS devices to improve power system security and loadability [14][15][16][17].…”
Section: Fig 1 Considered Facts Devices (A) Tcsc (B) Svc (C) Upfcmentioning
confidence: 99%
“…The best location for a set of phase shifters was found by GA to reduce the flows in heavily loaded lines resulting in an increased loadability of the network and reduced cost of production. The best optimal location of FACTS devices in order to reduce the production cost along with the device's cost using real power flow performance index was reported [11]. In this paper, an approach to find the optimal location of thyristorcontrolled series compensator (TCSC), static var compensator (SVC) and unified power flow controller (UPFC) in the power system to improve the loadability of the lines and minimize the total loss using GA is presented.…”
Section: Introductionmentioning
confidence: 99%
“…While the strategy proposed in [15], comprised of the tabu search (TS) and a nonlinear programming method, was utilized to optimize FACTS devices investment and recovery. With the proposed performance indices of real power flows, the method developed in [16] was used to seek the optimal FACTS devices installation locations. Under the existing FACTS devices, in [17], the minimum generation cost based OPF problem was solved by the proposed hybrid of TS and simulated annealing (SA) algorithms.…”
Section: Introductionmentioning
confidence: 99%