A Sliding Mode Based Damping Control of DFIG for Interarea Power Oscillations

Liao, Kai; He, Zhengyou; Xu, Yan; Chen, Guo; Zhang, Dong; Wong, Kit Po

doi:10.1109/tste.2016.2597306

Cited by 99 publications

(51 citation statements)

References 23 publications

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“…The advantages of using the Lagrange multiplier method is as follows. First the constraints can be Algorithm 1 ADMM-Algorithm 1: Each local processor (q) initializes a q 0 , b q 0 using (12) and (13). z 0 and w q 0 are also initialized 2: At iteration j: 3: Local processors updates a q as a q j+1 = argmin a q L ρ 4: Local processor transmits a q j+1 to the global processor 5: Global processor calculates z j+1 = 1 2 2 q=1 a q j+1 6: Global processor transmits z j+1 to all local processors.…”

Section: Generatormentioning

confidence: 99%

Alternating Direction Method of Multipliers (ADMMs) Based Distributed Approach For Wide-Area Control

Thakallapelli

Kamalasadan

2019

IEEE Trans. on Ind. Applicat.

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In this paper, an ADMM based novel distributed wide-area control architecture is proposed for damping the interarea oscillations. In this approach, first, an interconnected power system is divided into areas based on coherency grouping. Second, local processors are assigned on each area that estimates a blackbox transfer function model based on Lagrange multipliers using measurements. These local area processors are then used to estimate a global transfer function model of the power system based on a consensus algorithm through a global processor. After convergence, a transfer function residue corresponding to the inter-area mode of interest is derived, to determine optimal wide area control loop. Finally, a wide-area damping controller is designed based on this information. The efficacy of the controller is validated using two area and IEEE-39 bus test systems on RTDS/RSCAD and MATLAB co-simulation platform.

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Section: Generatormentioning

confidence: 99%

Alternating Direction Method of Multipliers (ADMMs) Based Distributed Approach For Wide-Area Control

Thakallapelli

Kamalasadan

2019

IEEE Trans. on Ind. Applicat.

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“…Performance and assessment of WT depends on rotor thrust, torque, and power. The mechanical power extracted from wind speed is given by

P_{m} = \frac{1}{2} ρ π R^{2} V_{w}^{3} C_{P} false(λ, β false),

where ρ is the air density; typical value is ρ = 1.22 kg / m 3 ; R is the length of the blade; V w is the wind velocity in m/s; C p is the power coefficient,which is function of tip speed ratio that is λ = Rω r / V w and β position of blade angle; and ω r is rotating speed of rotor. The analytical expression of C p defined in terms of λ , β , and turbine coefficients by

(⟨, \begin{matrix} array C_{P} (λ, β) = 0.5176 (\frac{116}{λ_{i}} - 0.4 β - 5) e^{- \frac{21}{λ_{i}}} + 0.0038 λ \\ array \frac{1}{λ_{i}} = \frac{1}{λ + 0.08 β} - \frac{0.035}{1 + β^{3}} . \end{matrix})

…”

Section: Mathematical Modelling Of Dfig_wesmentioning

confidence: 99%

“…Performance and assessment of WT depends on rotor thrust, torque, and power. The mechanical power extracted from wind speed is given by 16,17…”

Section: Wt Modellingmentioning

confidence: 99%

A new hybrid control scheme for minimizing torque and flux ripple for DFIG‐based WES under random change in wind speed

Jaladi

Sandhu

2019

Int Trans Electr Energ Syst

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Summary This paper presents the analysis and design of artificial neural network (ANN) and proportional and integral (PI) controller‐based hybrid control (HC) of doubly fed induction generator (DFIG). The proposed HC gives the quick dynamic and good transient response during the sudden changes in wind speed. Further performance of proposed hybrid controller has been analyzed independently with ANN and PI control as its components. The HC with ANN gives better performance compared with conventional direct torque control (CDTC) and PI DTC in terms of flux ripples, torque ripples, and settling time. The proposed technique is implemented in real‐time simulator (RTS)‐based OPAL‐RT and MATLALAB/SIMULINK environment at a rating of 5.5‐kW system under step and randomly change in wind velocity.

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“…Here, f is obtained from (1), (5), (6), (8), (11), (17), and (18). Further, g is obtained from (2)-(4), (7), (9), (10), (12)- (16), and (19).…”

Section: Linearized Dynamic Model Of Overall Systemmentioning

confidence: 99%

“…Here, Y(s) = Δ(I + I e ), Δ(P + P e ), and Δs m are used, and U(s) = V * s . With input V * s , Equation 33 can be written in the state space, with a small change based on state equation (11), as follows:…”

Section: Design Of Output Feedback Damping Controllermentioning

confidence: 99%

Utilization of DFIG-based wind model for robust damping of the low frequency oscillations in a single SG connected to an infinite bus

Shah

Joshi²

2018

Int Trans Electr Energ Syst

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Summary In this study, a single synchronous generator connected to an infinite bus (SMIB), augmented by a DFIG, was assessed by studying a system model at various operating positions, wind speeds, and DFIG ratings. In addition, several tests were conducted to compare power systems with and without a connected DFIG. Following detailed analysis and residual configuring, we identified the optimal positioning of the DFIG rotor‐ and grid‐side converter controllers for mitigating small oscillations. Three distinct signals were tested at the selected position to determine the most robust signal in terms of several key characteristics, namely, high average residue magnitude and average phase angle of residue. This was done to ensure system stability without reducing or destabilizing other system modes under a range of operating conditions. Based on the results of eigenvalue analysis, participation factor calibration, and time domain simulation, this study validated and demonstrated the effectiveness of the proposed modified system.

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A Sliding Mode Based Damping Control of DFIG for Interarea Power Oscillations

Cited by 99 publications

References 23 publications

Alternating Direction Method of Multipliers (ADMMs) Based Distributed Approach For Wide-Area Control

Alternating Direction Method of Multipliers (ADMMs) Based Distributed Approach For Wide-Area Control

A new hybrid control scheme for minimizing torque and flux ripple for DFIG‐based WES under random change in wind speed

Utilization of DFIG-based wind model for robust damping of the low frequency oscillations in a single SG connected to an infinite bus

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