Optimal placement method of multi UPFCs to damp power system oscillations

motiebirjandi, ali akbar; Fateh, Davood

doi:10.1002/etep.2360

Cited by 8 publications

(7 citation statements)

References 46 publications

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“…The profile of voltage variation at bus system of IEEE 57 of double generator issue at (2,3), (2,6), (2,8), (3,9), (3,12), (6,9), and (6, 12) bus is described in Figures 22,23,24,25,26,27,28,29. At off time of DG and the suggested method, is detected voltage profile for normal method. During this generator shutdown period, we have seen profile of voltage in collapsing every bus.…”

Section: Double Generator Outagementioning

confidence: 99%

“…Depend on IEEE 57‐bus with NSGA‐II test system, several problem along problem functions were repeated. For evolution of electromechanical motion control system, which dampens the position of multiple UPFCs using the fundamental modes and the system waste factor was submitted by Motiebirjandi et al 24 to select the number of UPFC for fundamental method and optimal location was solved using residue factor. Albatsh et al 25 was suggested UPFC method at FLC to provide UPFC problem's present controllers, provide adaptive power flow control via transmission line.…”

Section: Introductionmentioning

confidence: 99%

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Optimal location and capacity of Unified Power Flow Controller based on chaotic krill herd blended runner root algorithm for dynamic stability improvement in power system

Vijayakumar¹,

Rajendar²,

Ramaiah³

2020

Int J Numerical Modelling

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In this manuscript, the optimal location and capacity of Unified Power Flow Controller (UPFC) based on chaotic krill herd (CKH) with runner root algorithm (RRA) for dynamic stability improvement in power system is proposed. The proposed technique is the combined execution of CKH and RRA hence it is known as CKHRA technique. Here, CKH is utilized to optimal location of unified power flow controller when occurring generator fault. CKH chooses maximal power loss line as optimal location to keep UPFC according to the objective function. The minimal voltage deviation is improved using runner root algorithm from the unified power flow controller control parameters. The minimal voltage deviation is utilized to determine the optimal unified power flow controller capacity. The CKHRA technique is executed at MATLAB/Simulink and the performance is assessed by comparison with other techniques. The performance of CKHRA technique is linked with IEEE 14 bus, IEEE 30 bus, IEEE 57 bus bench mark system, whereas the efficiency is examined against various generator fault conditions. By then the statistical analysis, result accuracy percentage and loss sensitivity index are analyzed. The comparative results thus proven the greatness of CKHRA approach and corroborate its ability to improve the dynamic stability of power system.

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Section: Double Generator Outagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal location and capacity of Unified Power Flow Controller based on chaotic krill herd blended runner root algorithm for dynamic stability improvement in power system

Vijayakumar¹,

Rajendar²,

Ramaiah³

2020

Int J Numerical Modelling

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“…Using the modal analysis and computing the participation factors, the effective input signal was then detected in the proposed controller. It should be noted that the participation factor represents a criterion of the relative participation of the state variable i in the kth mode and is defined as (27) [ 48,49].…”

Section: Ssr Definitionmentioning

confidence: 99%

A subsynchronous resonance prevention for DFIG-based wind farms

Fateh¹,

Birjandi²,

Guerrero³

2020

Turk J Elec Eng & Comp Sci

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In this paper, subsynchronous resonance (SSR) instability was accurately analyzed in doubly fed induction generator (DFIG)-based wind farms by the linearization of equations and modal analysis. In addition, the possibility of high compensation for the transmission lines connected to DFIG-based wind farms was provided using a SSR prevention controller (SSRPC). For this purpose, an SSRPC was connected to the output voltage of the grid side converter (GSC) of the DFIG. The GSC output voltage was selected as the connection point of the SSRPC because it directly affects the induction generator effect (IGE) and can be an inhibitor factor in its occurrence. Furthermore, using system dynamic equations and the participation factor, it was shown that the effective factor on subsynchronous mode was the capacitor series voltage of the line, considered an input signal to the SSRPC. To validate the performance of the proposed method, a simulation was performed based on the IEEE SSR first benchmark model using the software MATLAB/Simulink.

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“…In this paper, a controller called the SSR to instability prevention controller (SSRIPC) is used to prevent the SSR instability. This controller has a gain block and a filter (washout) block [49], [50]. The DFIG's converters have eight controllers that the first, middle and end of them can be used to connect the proposed controller.…”

Section: Ssr Instability Prevention Controllermentioning

confidence: 99%

Safe Sub Synchronous Oscillations Response for Large DFIG-Based Wind Farms

2020

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This paper presented an accurate analysis of the instability in DFIG-based wind farms due to the use of series compensation and provided maximum power extraction from these farms using the high compensation without the unstable sub-synchronous oscillation occurrence. For this purpose, using modal analysis, it is first shown that the main cause of this instability is low wind speed in the high compensation. This issue causes the series compensated DFIG-based wind farms is unstable due to a sub-synchronous mode. In order to prevent the unstable sub-synchronous oscillation occurrence, a supplementary controller called SSRIPC and DFIG controllers are used. Also, for good dynamic response and proper use of the SSRIPC, an objective function considered based on three factors of minimum damping ratio, overshoot, and settling time of the oscillations. By accurate optimization of the proposed controller using root-locus and PSO algorithm, it is prevented the instability caused by sub-synchronous resonance and sub-synchronous control interaction that are classes of the sub-synchronous oscillations. IEEE SSR first benchmark model and MATLAB/Simulink software are used to validate the performance of the proposed method.

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Optimal placement method of multi UPFCs to damp power system oscillations

Cited by 8 publications

References 46 publications

Optimal location and capacity of Unified Power Flow Controller based on chaotic krill herd blended runner root algorithm for dynamic stability improvement in power system

Optimal location and capacity of Unified Power Flow Controller based on chaotic krill herd blended runner root algorithm for dynamic stability improvement in power system

A subsynchronous resonance prevention for DFIG-based wind farms

Safe Sub Synchronous Oscillations Response for Large DFIG-Based Wind Farms

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