Online Thevenin Equivalent Parameter Identification Method of Large Power Grids Using LU Factorization

Yun, Zhihao; Cui, Xinhui; Ma, Ke

doi:10.1109/tpwrs.2019.2920994

Cited by 34 publications

(10 citation statements)

References 29 publications

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“…From (36), dE max and E min are the key values to derive the threshold. The latter can be obtained by substituting the possible values of TE reactance (neglecting the resistance) into (18), where I and V can be measured from PMUs. After the fault, the TE reactance typically does not decrease, so the minimum reactance can be set as the value when the network is fully connected.…”

Section: A Proposed Measurements Selection Methodsmentioning

confidence: 99%

“…Finally, the estimated values are shown in (34), followed by the calculation of TE potential via (18).…”

Section: B Parameter Estimation Using Total Least Squaresmentioning

confidence: 99%

“…To quantify the system's voltage support capability, a measurement-based Thevenin equivalent (TE) can be developed. By using the PMU measurements, the TE parameters of the AC system can be tracked and therefore the HVDC-MC can be estimated considering the The TE parameters can be obtained based on the the concrete power grid topology [18]. However, the reliance on the whole network information increases the difficulty of realtime application.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Real-Time LCC-HVDC Maximum Emergency Power Capacity Estimation Based on Local PMUs

Peng¹,

Zhao

Tang³

et al. 2021

IEEE Trans. Power Syst.

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The adjustable capacity of a line-commutatedconverter High Voltage Direct Current (LCC-HVDC) connected to a power system, called the LCC-HVDC maximum emergency power capability or HVDC-MC for short, plays an important role in determining the response of that system to a large disturbance. However, it is a challenging task to obtain an accurate HVDC-MC due to system model uncertainties as well as to contingencies.To address this problem, this paper proposes to estimate the HVDC-MC using a Thevenin equivalent (TE) of the system seen at the HVDC terminal bus of connection with the power system, whose parameters are estimated by processing positive-sequences voltages and currents of local synchrophasor measurements. The impacts of TE potential changes on the impedance estimation under large disturbance have been extensively investigated and an adaptive screening process of current measurements is developed to reduce the error of TE impedance estimation. The uncertainties of phasor measurements have been further taken into account by resorting to the total least square estimation method. The limitations of the HVDC control characteristics, the voltage dependent current order limit, the converter capacity and the AC voltage on HVDC-MC estimation are also considered. The simulations show that the proposed method can accurately track the dynamics of the TE parameters and the real-time HVDC-MC after the large disturbances.

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Section: A Proposed Measurements Selection Methodsmentioning

confidence: 99%

“…Finally, the estimated values are shown in (34), followed by the calculation of TE potential via (18).…”

Section: B Parameter Estimation Using Total Least Squaresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time LCC-HVDC Maximum Emergency Power Capacity Estimation Based on Local PMUs

Peng¹,

Zhao

Tang³

et al. 2021

IEEE Trans. Power Syst.

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show abstract

“…When the d-axis current is 0.6 pu or 0.4 pu, the power angle can converg, and the MMC can keep synchronous with the system. It can be seen that when the system equivalent potential and equivalent impedance are constant, the MMC output d-axis current has an upper limit I max , which can be obtained through (9). In addition, due to the small resistance of the system, the influence of the current on the transient stability of the q-axis can be ignored.…”

Section: Transient Characteristic Analysismentioning

confidence: 99%

“…The TE voltage and impedance depend on the power system topology and parameters [9]. However, the TE of a large-scale system is difficult to accurately evaluate in real-time.…”

Section: Introductionmentioning

confidence: 99%