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Power system robust state estimation method based on exponential function

A power system and exponential function technology, which is applied in the field of robust state estimation of power systems based on exponential functions, can solve problems that do not conform to the actual situation, and achieve the effect of suppressing bad data and non-Gaussian noise and good robustness

Pending Publication Date: 2022-02-18
XIAMEN UNIV
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Problems solved by technology

[0003] The measurement noise model is usually assumed to be a Gaussian distribution in the state estimation process, but this assumption is sometimes not in line with the actual situation

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  • Power system robust state estimation method based on exponential function
  • Power system robust state estimation method based on exponential function
  • Power system robust state estimation method based on exponential function

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Embodiment Construction

[0029] The present invention provides a robust state estimation method for power systems based on an exponential function. Based on the objective function of the exponential function, the weight value obtained by calculating the partial derivative can be automatically adjusted according to the size of the measurement residual, which helps to suppress bad data And non-Gaussian noise, etc., improve the robustness of the algorithm and the accuracy of state estimation, strong anti-interference ability, good robustness.

[0030] Such as figure 1 , shows a flow chart of a robust state estimation method for a power system based on an exponential function, including the following:

[0031] S101: Calculate the node admittance matrix according to the power system topology and branch impedance parameters;

[0032] For various microwave networks, after defining the voltage and current of each port on the selected network reference plane, since the voltage and current of the linear networ...

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Abstract

The invention provides a power system robust state estimation method based on an exponential function, and the method comprises the steps: firstly calculating a node admittance matrix according to a topological structure and a branch impedance parameter of a power system; according to a sensor layout strategy, installing PMUs at corresponding nodes of a power system, and forming a measurement matrix H; reading a node measurement value z (k) at the current moment, wherein the node measurement value comprises a node voltage phasor and a branch current phasor, and k represents the sampling moment; constructing a power system robust state estimation algorithm based on the exponential function, and judging convergence conditions to obtain estimation of the power system robust state based on the exponential function; according to the method provided by the invention, on the basis of the objective function of the exponential function, the weight value obtained by solving the partial derivative can be automatically adjusted according to the size of the measured residual error, so that the influence of bad data, non-Gaussian noise and the like can be inhibited, the robustness of the algorithm and the state estimation precision are improved, the anti-interference capability is strong, and the robustness is good.

Description

technical field [0001] The invention relates to the technical field of power system analysis, in particular to a method for estimating a robust state of a power system based on an exponential function. Background technique [0002] Because there are errors and bad data in the raw measurement values ​​collected by the Supervisory Control And Data Acquisition (SCADA) system or the Synchronized Phasor Measurement Unit (PMU), these measurement values ​​need to be passed through the power After the system state estimation algorithm eliminates bad data, it can provide reliable and accurate grid state variables for the grid control system. Therefore, power system state estimation plays an important role in supporting the safe and reliable operation of the power grid. [0003] The measurement noise model is usually assumed to be a Gaussian distribution in the state estimation process, but this assumption is sometimes not in line with the actual situation. According to the research...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/15G06F17/16G06Q10/06G06Q50/06G01D21/02
CPCG06F17/15G06F17/16G06Q10/06393G06Q50/06G01D21/02
Inventor 陈腾鹏任和李璐朱真慧高卓浩王津聿
Owner XIAMEN UNIV
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