Observation of the low-frequency oscillation (LFO) modes in power systems is important to design the damping scheme. The state equations of the power system with the doubly-fed induction generators (DFIGs) are derived to find the LFO modes related to the synchronous generator (SGs) and the DFIGs. The definition of the observability measure is improved to consider the initial output and the attenuation speed of the modes. The sensitivities of the observability measures to the control parameters are derived. The numerical results from the small and large-disturbance validate the LFO modes caused by the DFIGs, and different observability measures are compared. Adjustment of the control parameters is chosen based on the sensitivity model to improve the observability and damping ratio of the LFO mode, and the stability of the wind power system.
. [J]. Frontiers in Energy, 2021, 15(2): 539-549.
Shenghu LI. Improvement to observability measures of LFO modes in power systems with DFIGs. Front. Energy, 2021, 15(2): 539-549.
D N Kosterev, C W Taylor, W A Mittelstadt. Model validation for the August 10, 1996 WSCC system outage. IEEE Transactions on Power Systems, 1999, 14(3): 967–979 https://doi.org/10.1109/59.780909
2
M Klein, G J Rogers, P Kundur. A fundamental study of inter-area oscillations in power systems. IEEE Transactions on Power Systems, 1991, 6(3): 914–921 https://doi.org/10.1109/59.119229
3
IEEE. IEEE Recommended Practice for Excitation System Models for Power System Stability Studies. 2016,
4
M Jafarian, A M Ranjbar. Interaction of the dynamics of doubly fed wind generators with power system electromechanical oscillations. IET Renewable Power Generation, 2013, 7(2): 89–97 https://doi.org/10.1049/iet-rpg.2012.0138
5
J G Slootweg, W L Kling. The impact of large scale wind power generation on power system oscillations. Electric Power Systems Research, 2003, 67(1): 9–20 https://doi.org/10.1016/S0378-7796(03)00089-0
6
T Knüppel, J N Nielsen, K H Jensen, A Dixon, J Østergaard. Power oscillation damping capabilities of wind power plant with full converter wind turbines considering its distributed and modular characteristics. IET Renewable Power Generation, 2013, 7(5): 431–442 https://doi.org/10.1049/iet-rpg.2012.0030
7
R D Fernández, R J Mantz, P E Battaiotto. Potential contribution of wind farms to damp oscillations in weak grids with high wind penetration. Renewable & Sustainable Energy Reviews, 2008, 12(6): 1692–1711 https://doi.org/10.1016/j.rser.2007.01.013
8
R D Fernández, P E Battaiotto, R J Mantz. Wind farm non-linear control for damping electromechanical oscillations of power systems. Renewable Energy, 2008, 33(10): 2258–2265 https://doi.org/10.1016/j.renene.2008.01.004
9
J Morato, T Knuppel, J Ostergaard. Residue-based evaluation of the use of wind power plants with full converter wind turbines for power oscillation damping control. IEEE Transactions on Sustainable Energy, 2014, 5(1): 82–89 https://doi.org/10.1109/TSTE.2013.2273232
10
J L Domínguez-García, C E Ugalde-Loo, F Bianchi, O Gomis-Bellmunt. Input-output signal selection for damping of power system oscillations using wind power plants. International Journal of Electrical Power & Energy Systems, 2014, 58: 75–84 https://doi.org/10.1016/j.ijepes.2014.01.001
11
Y Liu, J R Gracia, T J King, Y Liu. Frequency regulation and oscillation damping contributions of variable-speed wind generators in the US eastern interconnection (EI). IEEE Transactions on Sustainable Energy, 2015, 6(3): 951–958 https://doi.org/10.1109/TSTE.2014.2318591
12
M Singh, A J Allen, E Muljadi, V Gevorgian, Y Zhang, S Santoso. Interarea oscillation damping controls for wind power plants. IEEE Transactions on Sustainable Energy, 2015, 6(3): 967–975 https://doi.org/10.1109/TSTE.2014.2348491
13
Z Miao, L Fan, D Osborn, S Yuvarajan. Control of DFIG-based wind generation to improve interarea oscillation damping. IEEE Transactions on Energy Conversion, 2009, 24(2): 415–422 https://doi.org/10.1109/TEC.2009.2015980
14
H Li, S Liu, H Ji, D Yang, C Yang, H Chen, B Zhao, Y Hu, Z Chen. Damping control strategies of inter-area low-frequency oscillation for DFIG-based wind farms integrated into a power system. International Journal of Electrical Power & Energy Systems, 2014, 61: 279–287 https://doi.org/10.1016/j.ijepes.2014.03.009
15
M Mokhtari, F Aminifar. Toward wide-area oscillation control through doubly-fed induction generator wind farms. IEEE Transactions on Power Systems, 2014, 29(6): 2985–2992 https://doi.org/10.1109/TPWRS.2014.2309012
16
A E Leon, J Solsona. Power oscillation damping improvement by adding multiple wind farms to wide-area coordinating controls. IEEE Transactions on Power Systems, 2014, 29(3): 1356–1364 https://doi.org/10.1109/TPWRS.2013.2289970
17
S Li. Low-frequency oscillations of wind power systems caused by doubly-fed induction generators. Renewable Energy, 2017, 104: 129–138 https://doi.org/10.1016/j.renene.2016.11.053
18
X Liu, D McSwiggan, T B Littler, J Kennedy. Measurement-based method for wind farm power system oscillations monitoring. IET Renewable Power Generation, 2010, 4(2): 198–209 https://doi.org/10.1049/iet-rpg.2009.0110
19
M Göl, A Abur. Observability and criticality analyses for power systems measured by phasor measurements. IEEE Transactions on Power Systems, 2013, 28(3): 3319–3326 https://doi.org/10.1109/TPWRS.2012.2236367
20
H Liao. Power system harmonic state estimation and observability analysis via sparsity maximization. IEEE Transactions on Power Systems, 2007, 22(1): 15–23 https://doi.org/10.1109/TPWRS.2006.887957
21
R Kavasseri, S K Srinivasan. Joint placement of phasor and power flow measurements for observability of power systems. IEEE Transactions on Power Systems, 2011, 26(4): 1929–1936 https://doi.org/10.1109/TPWRS.2011.2130544
22
F Rashidi, E Abiri, T Niknam, M R Salehi. Optimal placement of PMUs with limited number of channels for complete topological observability of power systems under various contingencies. International Journal of Electrical Power & Energy Systems, 2015, 67: 125–137 https://doi.org/10.1016/j.ijepes.2014.11.015
23
R Babu, B Bhattacharyya. Optimal allocation of phasor measurement unit for full observability of the connected power network. International Journal of Electrical Power & Energy Systems, 2016, 79: 89–97 https://doi.org/10.1016/j.ijepes.2016.01.011
24
A A Saleh, A S Adail, A A Wadoud. Optimal phasor measurement units placement for full observability of power system using improved particle swarm optimisation. IET Generation, Transmission & Distribution, 2017, 11(7): 1794–1800 https://doi.org/10.1049/iet-gtd.2016.1636
25
J J Sanchez-Gasca, J H Chow. Power system reduction to simplify the design of damping controllers for interarea oscillations. IEEE Transactions on Power Systems, 1996, 11(3): 1342–1349 https://doi.org/10.1109/59.535675
26
C Wang, C Ding, P Li, J Wu, H Yu. Model order reduction for transient simulation of active distribution networks. IET Generation, Transmission & Distribution, 2015, 9(5): 457–467 https://doi.org/10.1049/iet-gtd.2014.0219
27
J Qi, J Wang, H Liu, A D Dimitrovski. Nonlinear model reduction in power systems by balancing of empirical controllability and observability covariances. IEEE Transactions on Power Systems, 2017, 32(1): 114–126 https://doi.org/10.1109/TPWRS.2016.2557760
28
M Tarokh. Measures for controllability, observability and fixed modes. IEEE Transactions on Automatic Control, 1992, 37(8): 1268–1273 https://doi.org/10.1109/9.151124
29
T Williams, X Cheng. Degrees of controllability and observability for close modes of flexible space structures. IEEE Transactions on Automatic Control, 1999, 44(9): 1791–1795 https://doi.org/10.1109/9.788555
30
K Pundur. Power System Stability and Control. New York: McGraw-Hill Press, 1994
31
U P Mhaskar, A M Kulkarni. Power oscillation damping using FACTS devices: modal controllability, observability in local signals, and location of transfer function zeros. IEEE Transactions on Power Systems, 2006, 21(1): 285–294 https://doi.org/10.1109/TPWRS.2005.856983
32
F Xiao, Y Sun, F Yang, L Cheng. Inter-area damping controller design based on mode controllability and observability. In: International Power Engineering Conference, Singapore, 2007, 95–99
33
S Li. Power flow modeling to doubly-fed induction generators (DFIGs) under power regulation. IEEE Transactions on Power Systems, 2013, 28(3): 3292–3301 https://doi.org/10.1109/TPWRS.2013.2251914
34
M Tarokh. Measures for controllability, observability and fixed modes. IEEE Transactions on Automatic Control, 1992, 37(8): 1268–1273 https://doi.org/10.1109/9.151124
35
Reliability Test System Task Force. IEEE reliability test system. IEEE Transactions on Power Apparatus and Systems, 1979, PAS-98(6): 2047–2054