Identification and estimation of equivalent area parameters using synchronised phasor measurements

Vahidnia, Arash; Ledwich, Gerard; Palmer, Edward; Ghosh, Arindam

doi:10.1049/iet-gtd.2013.0285

Cited by 18 publications

(22 citation statements)

References 22 publications

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“…Whereas in [34], future values for required variables are obtained by running the time-domain simulation in forward time, in this paper the WAC uses a non-linear Kalman filter [35]. From this the equivalent rotor angle and frequency for each coherent area is estimated.…”

Section: Iet Generation Transmission and Distributionmentioning

confidence: 99%

“…The sensitivity analysis using different values of K T is performed and its effect on the damping of the inter-area oscillations is observed. The next section is devoted to a brief explanation of the method used in [35] to obtain estimated rotor angle and frequency of each aggregated area. The controller aims to improve the damping of inter-area modes by using a reduced system that includes these inter-area modes and exclude local modes.…”

Section: Inverse Filtering Approach For Excitation Systemsmentioning

confidence: 99%

“…The parameters of Kalman estimator are obtained based on the identification of the reduced model as presented in [35] x…”

Section: Inverse Filtering Approach For Excitation Systemsmentioning

confidence: 99%

“…This test system includes four inter-area modes which their frequency and damping are presented in Table 3 while PSSs are in service. To carry out the identification task and to use the outcome in the Kalman filter, several PMUs should be installed in this test system [35]. The PMUs are installed at generator buses G 1 , G 3 , G 5 , G 7 , G 9 from area 1, G 10 and G 12 from area 2 and G 14 , G 15 and G 16 from areas 3-5.…”

Section: -Machine 68-bus Test System New York-new Englandmentioning

confidence: 99%

See 3 more Smart Citations

Wide‐area damping control for inter‐area oscillations using inverse filtering technique

Goldoost-Soloot

Mishra

Ledwich

2015

IET Generation, Transmission & Distribution

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In this study, a non-linear excitation controller using inverse filtering is proposed to damp inter-area oscillations. The proposed controller is based on determining generator flux value for the next sampling time which is obtained by maximising reduction rate of kinetic energy of the system after the fault. The desired flux for the next time interval is obtained using wide-area measurements and the equivalent area rotor angles and velocities are predicted using a nonlinear Kalman filter. A supplementary control input for the excitation system, using inverse filtering approach, to track the desired flux is implemented. The inverse filtering approach ensures that the non-linearity introduced because of saturation is well compensated. The efficacy of the proposed controller with and without communication time delay is evaluated on different IEEE benchmark systems including Kundur's two area, Western System Coordinating Council three-area and 16-machine, 68-bus test systems. Nomenclature E′ qi quadrature component of internal voltage of generator δ i rotor angle ω i rotor angular velocity E fdi field voltage V Ri exciter input X ij tie-line reactance X d direct-axis synchronous reactances X′ d direct-axis transient reactances X q quadrature-axis reactance T′ do open-circuit d-axis transient time constant w s synchronous speed δ rotor angle J rotor inertia constant D damping coefficient P m mechanical power input of generator I d armature current of d-axis

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Section: Iet Generation Transmission and Distributionmentioning

confidence: 99%

Section: Inverse Filtering Approach For Excitation Systemsmentioning

confidence: 99%

“…The parameters of Kalman estimator are obtained based on the identification of the reduced model as presented in [35] x…”

Section: Inverse Filtering Approach For Excitation Systemsmentioning

confidence: 99%

Section: -Machine 68-bus Test System New York-new Englandmentioning

confidence: 99%

See 2 more Smart Citations

Wide‐area damping control for inter‐area oscillations using inverse filtering technique

Goldoost-Soloot

Mishra

Ledwich

2015

IET Generation, Transmission & Distribution

Self Cite

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“…In this paper a state estimation approach is proposed to estimate the inter-area dynamics of the system based on identified aggregated models using PMUs. The paper follows some principles of the state estimation approach in [9] by introducing a correction factor for aggregated power flows to the identification process and using a nonlinear time-varying Kalman estimator.…”

Section: Introductionmentioning

confidence: 99%

Correction factors for dynamic state estimation of aggregated generators

Vahidnia

Ledwich

Mishra

2015

2015 IEEE Power &Amp; Energy Society General Meeting

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This paper presents an approach for dynamic state estimation of aggregated generators by introducing a new correction factor for equivalent inter-area power flows. The spread of generators from the center of inertia of each area is summarized by flow between the areas and is applied to the identification and estimation process. A nonlinear time varying Kalman filter is applied to estimate the equivalent angles and velocities of coherent areas by reducing the effect of local modes on the estimated states. The approach is simulated on two test systems and the results show the effect of the correction factor and the performance of the state estimation by estimating the inter-area dynamics of the system.

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Indirect Control of Power System Dynamics

Ledwich¹,

Vahidnia²

2021

Power Systems

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Identification and estimation of equivalent area parameters using synchronised phasor measurements

Cited by 18 publications

References 22 publications

Wide‐area damping control for inter‐area oscillations using inverse filtering technique

Wide‐area damping control for inter‐area oscillations using inverse filtering technique

Correction factors for dynamic state estimation of aggregated generators

Indirect Control of Power System Dynamics

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