Determination of locations for FACTS and energy storage by the singular analysis

Gamm, A.Z.; Golub, Irina

doi:10.1109/icpst.1998.728996

Cited by 9 publications

(6 citation statements)

References 1 publication

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“…In [11] a Mixed Integer Linear programming (MILP) find optimal position of thyristor controlled phase shifter transformer (TCPST). Authors of [12] and [13] use methods which determine the weak places in the system using eigenvalue analysis of the system admitance matrix. They suggest these places as optimal location of shunt FACTS devices for reactive power and voltage regulation, respectively.…”

Section: B Other Methodsmentioning

confidence: 99%

Optimal location of series FACTS devices to control line overloads in power systems with high wind feeding

Shakib

Spahic²,

Balzer

2009

2009 IEEE Bucharest PowerTech

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The planned offshore wind farms in Germany are basically located in North region. For wind integration in Germany, establishing new transmission lines and employing new technologies have become unavoidable. Establishing new transmission lines is very costly and difficult regarding enviromental condition. One of the solutions is the utilization of Flexible AC Transmission Systems (FACTS). This paper discusses a method for determining the placement of series compensation to control line overload in power systems with wind power penetration. By a sensitivity based method critical lines can be identified quickly and accurately, to obtain desired wind feeding into the system. Thyristor Controlled Series Compensator (TCSC) is applied for system stabilization as a typical FACTS devices. This method is applied to realistic scenarios in a test system, which simulates reduced 380 kV network of Germany. Simulation results showed that the proposed method is effective and can enhance the transfer capability margin of existing power systems.Index Terms--Flexible AC Transmission System (FACTS), load flow controller (LFC), offshore wind farms, optimal location, overload, sensitivity index, wind feeding.

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Section: B Other Methodsmentioning

confidence: 99%

Optimal location of series FACTS devices to control line overloads in power systems with high wind feeding

Shakib

Spahic²,

Balzer

2009

2009 IEEE Bucharest PowerTech

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“…[23]- [33] Contrasting with the previous heuristic approaches, analytical methods are preferred by some authors to allocate FACTS devices in order to suit a given system need. For example, in [23] and [24], analyses of the power system Jacobian matrix singularity were used. Also, in [25]- [27] the authors used the line flow index (LFI) as their allocation criterion.…”

Section: Introductionmentioning

confidence: 99%

“…Among those used specifically in FACTS placement studies, the most popular are: genetic algorithm (GA) [4]- [9], tabu search (TA) [10], [11], simulated annealing (SA) [11], particle swarm optimization (PSO) [12]- [14], evolutionary algorithm (EA) [15]- [18], bacterial swarming algorithm (BSA) [19], group search optimizer with multiple producer (GSOMP) [20], harmony search algorithm (HSA) [21], and bees algorithm (BA) [22]. [23]- [33] Contrasting with the previous heuristic approaches, analytical methods are preferred by some authors to allocate FACTS devices in order to suit a given system need. For example, in [23] and [24], analyses of the power system Jacobian matrix singularity were used.…”

Section: Introductionmentioning

confidence: 99%

Optimal placement of multiple-type FACTS devices to maximize power system loadability using a generic graphical user interface

Ghahremani

Kamwa

2013

IEEE Trans. Power Syst.

240

140

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Flexible AC transmission systems, so-called FACTS devices, can help reduce power flow on overloaded lines, which would result in an increased loadability of the power system, fewer transmission line losses, improved stability and security and, ultimately, a more energy-efficient transmission system. In order to find suitable FACTS locations more easily and with more flexibility, this paper presents a graphical user interface (GUI) based on a genetic algorithm (GA) which is shown able to find the optimal locations and sizing parameters of multi-type FACTS devices in large power systems. This user-friendly tool, called the FACTS Placement Toolbox, allows the user to pick a power system network, determine the GA settings and select the number and types of FACTS devices to be allocated in the network. The GA-based optimization process is then applied to obtain optimal locations and ratings of the selected FACTS to maximize the system static loadability. Five different FACTS devices are implemented: SVC, TCSC, TCVR, TCPST and UPFC. The simulation results on IEEE test networks with up to 300 buses show that the FACTS placement toolbox is effective and flexible enough for analyzing a large number of scenarios with mixed types of FACTS to be optimally sited at multiple locations simultaneously.Index Terms-Continuation power flow, FACTS devices, genetic algorithm, optimal FACTS placement, optimal power flow, power system loadability, power system security.

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“…This has motivated the development of several kinds of approaches for finding proper locations of FACTS controllers in order to improve the power system's static or dynamic performance. Methodologies based on singular value decomposition [3], bus participation factor [4], augmented Lagrange multipliers [5], heuristic methods [6,7], mixed integer linear programming [8] and a sensitivitybased approach [9,10] have been proposed to allocate controllers to satisfy suitable steady-state control objectives. On the other hand, proper locations to improve damping of low-frequency electromechanical oscillations have been determined based on modal analysis [11][12][13] and residue method [14,15].…”

Section: Introductionmentioning

confidence: 99%

Multi-parameter trajectory sensitivity approach for location of series-connected controllers to enhance power system transient stability

Zamora-Cárdenas

Fuerte‐Esquivel

2010

Electric Power Systems Research

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Determination of locations for FACTS and energy storage by the singular analysis

Cited by 9 publications

References 1 publication

Optimal location of series FACTS devices to control line overloads in power systems with high wind feeding

Optimal location of series FACTS devices to control line overloads in power systems with high wind feeding

Optimal placement of multiple-type FACTS devices to maximize power system loadability using a generic graphical user interface

Multi-parameter trajectory sensitivity approach for location of series-connected controllers to enhance power system transient stability

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