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Hybrid measurement based power distribution network dynamic state estimation method

A technology of dynamic state estimation and hybrid measurement, applied in the field of power system, can solve problems such as no longer applicable

Inactive Publication Date: 2017-05-24
HUNAN UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When sudden changes in system measurement and bad data occur at the same time, as well as network topology errors and bad data, the original method will no longer apply

Method used

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  • Hybrid measurement based power distribution network dynamic state estimation method
  • Hybrid measurement based power distribution network dynamic state estimation method
  • Hybrid measurement based power distribution network dynamic state estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0051] (1) Read the current network parameters and network topology of the distribution network, and form a node admittance matrix and a branch-node correlation matrix.

[0052] This example starts with figure 2 The city-central line IV in the 10kV distribution line of Gongqingcheng, Jiangxi Province is shown as an example for simulation, and PMUs are configured at nodes 3, 8, 9, 10, and 25.

[0053] (2) Read the real-time measurement values ​​of SCADA and PMU of each node of the distribution network, configure the mapping relationship between the two data and deal with the difference between the two data.

[0054] (3) Establish state transition equations and measurement equations compatible with PMU / SCADA hybrid measurement.

[0055] (4) Add the data detection mechanism to the traditional extended Kalman filter method, and use the improved extended Kalman filter method to estimate the dynamic state of the distribution network.

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Abstract

The invention discloses a hybrid measurement based power distribution network dynamic state estimation method, which comprises the steps of reading current network parameters and a network topology structure of a power distribution network, and forming a node admittance matrix and a branch-node association matrix; reading SCADA data and PMU data of each node of the power distribution network, configuring a mapping relation between the two kinds of data, and processing differences between the two kinds of data; building a state transition equation and a measurement equation which are adapt to PMU / SCADA hybrid measurement; adding a fault-tolerant mechanism to a traditional extended Kalman filter method, and performing state estimation on the power distribution network by adopting the improved extended Kalman filter method. Dynamic state estimation is applied to hybrid measurement, and the accuracy of state estimation is improved. Meanwhile, an adaptive data detection mechanism is introduced, and the accuracy of dynamic state estimation is improved.

Description

technical field [0001] The invention belongs to the technical field of power systems, and relates to a method for estimating the dynamic state of a power distribution network based on hybrid measurement. Background technique [0002] Due to the advantages of fast collection of measurement data and high accuracy of measurement data, PMUs are gradually being applied to distribution networks. Dynamic state estimation can estimate the state at the next moment in advance, provide forecast data for optimal scheduling and preventive control, and provide accurate and comprehensive real-time monitoring of the operating state of the distribution network. However, most of the researches on PMU-based dynamic state estimation of distribution network are still in the pure PMU system. Due to the uneconomical configuration of PMU in the whole network, most of these studies lack practical significance. [0003] Most of the existing bad data detection and identification methods are detected ...

Claims

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Application Information

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IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor 涂春鸣何西帅智康王丽丽李昭颖郭祺孙勇
Owner HUNAN UNIV
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