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Hybrid State Estimation Method of Distribution Network Based on Measurement Data of Multiple Time Periods

A technology for measuring data and time periods, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as excessive investment and maintenance, difficulties, etc.

Active Publication Date: 2020-03-27
STATE GRID SHANDONG ELECTRIC POWER COMPANY WEIFANG POWER SUPPLY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the above problems, and to provide a method for estimating the mixed state of distribution network based on measurement data of various time periods. On the other hand, through the introduction of reasonable technology, avoid excessive investment at the infrastructure level and the problems of maintenance difficulties

Method used

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  • Hybrid State Estimation Method of Distribution Network Based on Measurement Data of Multiple Time Periods
  • Hybrid State Estimation Method of Distribution Network Based on Measurement Data of Multiple Time Periods
  • Hybrid State Estimation Method of Distribution Network Based on Measurement Data of Multiple Time Periods

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Embodiment Construction

[0079] The present invention will be further described below in conjunction with accompanying drawing.

[0080] Principle of Kalman Filter

[0081] Kalman filter is applied to the research of dynamic state estimation of linear system, and the whole process is divided into two parts: prediction link and filtering link. In the prediction link, a certain estimate is made on the value to be predicted and the corresponding covariance matrix,

[0082]

[0083]

[0084]

[0085] where F k-1 The matrix connects the system state variables at two moments k-1 and k, q k Represents the process error in the forecasting process.

[0086] The second link is the filtering estimation part, which uses the latest actual measured data to update the state value.

[0087]

[0088]

[0089]

[0090] where the matrix K k is the gain matrix (Gain Matrix). The essence of the estimation link of the Kalman filter is a trade-off between the predicted information and the measured info...

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Abstract

The invention discloses a power distribution network mixed state estimation method based on various time period measured data, and cased on the current situation of a current power distribution network system measurement and information system, through data fusion of AMI, PMU and RTU measurement information, a short-time limit high-quality state estimation result is obtained. The provided method can remarkably shorten an estimation period and provide real-time state information for advanced control applications similar to voltage control and system blocking control. The method contributes to detection of a sudden change situation of the state. The robustness of an algorithm can be further optimized and influence of bad data and leverage points on an estimation result can be reduced. In addition, details of a DKF process can be further optimized.

Description

technical field [0001] The invention relates to a method for estimating a mixed state of a distribution network based on measurement data of various time periods. Background technique [0002] The concept of power system state estimation was proposed in the 1970s. Since then, state estimation has gradually become an indispensable unit in EMS systems. It can provide power system operators with current real-time state information of the system, and control and develop advanced applications of the system on the basis of system state awareness. The use of these technologies maximizes the use of current system assets and provides a guarantee for the safe and stable operation of the system. In the traditional research, the distribution network is regarded as a single passive network, only as a link between the transmission network and the user, and the flow of energy is also one-way. In addition, traditional distribution network faults have very limited impact on the stability o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20Y02E40/70Y02E60/00Y04S10/00Y04S10/22
Inventor 刘晓亮晋飞吴金玉刘惯红黄海丽唐敏宋战慧王娟娟杨君仁辛翠芹杨文佳马献丽孙守鑫邱正美李国强刘忠辉卢晓惠杨坤管正弦魏玉苓刘芊
Owner STATE GRID SHANDONG ELECTRIC POWER COMPANY WEIFANG POWER SUPPLY