Abstract
This work is devoted to the research of the real-time estimation of 500 kV power transmission lines parameters with PMU based on the solution of the optimization problem of minimizing the root-mean-square deviations of the specific line parameters or the sum of the modules of the correlation coefficients between the specific parameters and the sum of the squares of the voltages or currents measured at the ends of the line. Independent optimization variables are the correction factors of the measuring systems of currents and voltages. Based on an artificially simulated PMU dataset with specified Gaussian noise and systematic errors, it is shown that the use of correlation coefficients in the objective function is more effective than standard deviations. All 5 estimated coefficients turned out to be closer to the reference values. The results of calculations are obtained from the data of real PMUs for an operating 500 kV line with a length of 504.6 km. The deviation of the specific capacitive conductivity from the nominal value is 0.13%, compared with - 0.29% when using the sum of squares of deviations as an objective function.
Highlights
One of the important tasks of the modern power system in conditions of high variability of power flow is to reduce losses of electrical energy in electrical networks while ensuring the required level of reliability
In bad weather conditions, corona losses increase by 1–2 orders of magnitude, which can lead to an increase in the errors of the received control actions and economic damage due to use of simplified extra-high voltage (EHV) transmission lines model, based on the equation of a long line and a refined π-equivalent circuit [3]
The results of calculating the root-mean-square deviations and errors of the estimated parameters of the investigated 500 kV transmission line are shown in Table 1 (PN is the nominal value of the parameter)
Summary
One of the important tasks of the modern power system in conditions of high variability of power flow is to reduce losses of electrical energy in electrical networks while ensuring the required level of reliability. To solve the problem of optimizing the power flow in terms of voltage and reactive power, it is necessary to have an up-to-date and accurate model of the power. For these purposes, π-equivalent circuit for transmission lines are used, determined by the geometric characteristics and physical properties of wires, considering their parameters unchanged [2]. In bad weather conditions, corona losses increase by 1–2 orders of magnitude, which can lead to an increase in the errors of the received control actions and economic damage due to use of simplified EHV transmission lines model, based on the equation of a long line and a refined π-equivalent circuit [3]
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