Evaluation of residue based power oscillation damping control of inter-area oscillations for static power sources

Adamczyk, A.; Teodorescu, Remus; Iov, Florin; Kjar, Philip C.

doi:10.1109/pesgm.2012.6343981

“…For comparison with the DDC-WADC, conventional WADC (C-WADC) is designed based on residue method [24]. The modal analysis reveals three loosely damped modes (indexed as Mode 1, 2 and 3) with damping ratio as 0.0842, 0.021, 0.012 and frequency as 0.706 Hz, 0.980 Hz and 1.089Hz respectively.…”

Section: A Case: Variable Operating Conditionsmentioning

confidence: 99%

Variable-Delay and Package Drop Compensation for Data-Driven Wide-Area Power System Stabilizer

Mishra¹

2022

Preprint

0

View full text Add to dashboard Cite

<p>This paper presents a delay and a data-drop compensator to address the variable latencies which arise in a wide area damping controller (WADC). The vulnerability of data-driven control (DDC) based WADC to these latencies is specifically highlighted. The uniqueness of the proposed delay compensator is that it is designed to address not only the large deviations in delay mean value but also the variations around the mean value. This is achieved by reformulating the delay in terms of its mean value and distribution around the mean value. Further, a new approach is followed for data-drop compensation, in which the nonlinearity in power systems is considered. The proposed data-drop compensation uses the technique of dynamic linearization (DL) and pseudo partial derivative (PPD). Rigorous analysis has been carried out to observe the effect of variable delay and data-drop on the damping performance of DDCWADC. It is shown that the damping performance of DDCWADC improves when the proposed compensation techniques are used. Further, the proposed delay compensator and the nonlinear system based data-drop compensator achieves improved compensation than the customary ones.</p>

show abstract

“…Figure 2(b) shows the control strategies of the DFIGs. The energy of the wind is converted into the mechanical energy of the DFIGs by the WT, whose captured power (P t ) may be expressed as, ΔP t = P wloss ΔC P ( , t ) (15) where P wloss is the lost power of the wind, C P is the coefficient of the power utilization which is affected by the rotor speeds of the WT (ω t) and the pitch angle (β). To maintain the optimal rotor speeds of the WT, β is controlled by the PAC, which also regulates P t and the torque of the WT (T t ).…”

Section: Modelling Of Dfigmentioning

confidence: 99%

“…The parameters and computation times corresponding to the PODs are given in Table 6. The ranges of the POD parameters are given as follow: K POD [5,15], T d1 [0.4s, 0.6s]. T d2 [0.05s, 0.20s].…”

Section: Validation To Control Effect Of Pod With Time-domain Analysismentioning

confidence: 99%

“…the whale optimisation algorithm, imperialist competitive algorithms and particle swarm optimization (PSO) algorithm [12][13][14] are applied to tune the POD, while the performance and the convergence characteristics may be limited in the large power systems. In [15], based on the transfer functions of the open loops in the power systems, the phase compensation required for the POD design is obtained, while the integration of the DFIGs may increase the difficulty in deriving the transfer functions. Compared with the methods above, the eigenvalue sensitivity models have the advantages of the high computational efficiency and easy implementation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization to POD parameters of DFIGs based on the 2nd order eigenvalue sensitivity of power systems

Li

¹

,

Zhang

²

,

Li

³

2020

IET Generation Trans & Dist

4

0

View full text Add to dashboard Cite

Here, the analytical model of the 2nd order eigenvalue sensitivity is improved, and applied to optimize the parameters of the power oscillation dampers of the doubly‐fed induction generators. To solve the 2nd order eigenvalue sensitivity, the eigenvector sensitivity is required whose difficulty lies in insufficient constraints, for which two constraints about the magnitude and the angle of eigenvector elements are newly introduced, and the normalization conditions are derived to solve the eigenvector sensitivity. The 2nd order eigenvalue sensitivity is applied to analyse the change of the low‐frequency oscillation modes with the varying of parameters in the power systems with the doubly‐fed induction generators. To improve the low‐frequency oscillation modes, the optimization model of the power oscillation damper parameters is newly formulated based on the 1st and the 2nd order eigenvalue sensitivities and solved by the interior point method. The numerical results are provided to verify the effectiveness of the constraints proposed; the advantages of the 2nd order eigenvalue sensitivity in the eigen‐analysis and parameters optimization, and the robustness against wind fluctuation.

show abstract

“…APPENDIX A PROOF OF LEMMA III.1The difference equation can be written from(17) as ∆y(k + 1) = f e (y(k), .., y(k − n y ))− f e (y(k − 1), .., y(k − n y − 1))(24) By adding and subtracting f e (y(k − 1), .., y(k − n y ))) ∆y(k + 1) = f e (y(k), .., y(k − n y )) − f e (y(k − 1),y(k − 1).., y(k − n y ))) + f e (y(k − 1), y(k − 1), .., y(k − n y ))) − f e (y(k − 1), .., y(k − n y − 1)) (25)From assumption A1 we have the f e differentiable. Further using differential mean value theorem (∂f e * /∂y(k) = f e (y(k), .)…”

mentioning

confidence: 99%

Variable-Delay and Data-Drop Compensation in Data-Driven based Wide-Area Damping Control

Mishra¹

2022

Preprint

0

View full text Add to dashboard Cite

<p>This paper presents a delay and a data-drop compensator to address the variable latencies which arise in a wide area damping controller (WADC). The vulnerability of data-driven control (DDC) based WADC to these latencies is specifically highlighted. The uniqueness of the proposed delay compensator is that it is designed to address not only the large deviations in delay mean value but also the variations around the mean value. This is achieved by reformulating the delay in terms of its mean value and distribution around the mean value. Further, a new approach is followed for data-drop compensation, in which the nonlinearity in power systems is considered. The proposed data-drop compensation uses the technique of dynamic linearization (DL) and pseudo partial derivative (PPD). Rigorous analysis has been carried out to observe the effect of variable delay and data-drop on the damping performance of DDCWADC. It is shown that the damping performance of DDCWADC improves when the proposed compensation techniques are used. Further, the proposed delay compensator and the nonlinear system based data-drop compensator achieves improved compensation than the customary ones.</p>

show abstract

Evaluation of residue based power oscillation damping control of inter-area oscillations for static power sources

Cited by 7 publications

References 22 publications

Variable-Delay and Package Drop Compensation for Data-Driven Wide-Area Power System Stabilizer

Variable-Delay and Package Drop Compensation for Data-Driven Wide-Area Power System Stabilizer

Optimization to POD parameters of DFIGs based on the 2nd order eigenvalue sensitivity of power systems

Variable-Delay and Data-Drop Compensation in Data-Driven based Wide-Area Damping Control

Contact Info

Product

Resources

About