Real-time LCC-HVDC Maximum Emergency Power Capacity Estimation Based on Local PMU Measurements

TL;DR

This paper introduces a real-time method to accurately estimate the maximum emergency power capacity of LCC-HVDC systems using local PMU measurements and Thevenin equivalent modeling, addressing uncertainties and system disturbances.

Contribution

It proposes a novel adaptive and measurement-based approach for real-time HVDC-MC estimation considering system uncertainties and large disturbances.

Findings

The method accurately tracks HVDC-MC dynamics after disturbances.

It effectively reduces errors in impedance estimation.

The approach accounts for measurement uncertainties and system limitations.

Abstract

The adjustable capacity of a line-commutated-converter 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.