Power distribution network state evaluation method based on multi-section intelligent instrument data
A technology of smart meter and state evaluation, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve the problem of reducing the real-time performance of distribution network state evaluation and unable to meet the requirements of high-precision state evaluation of distribution network , low accuracy of pseudo-measurement data, etc., to achieve the effect of high-precision distribution network status assessment, stable fine-tuning, and flexible fine-tuning
Pending Publication Date: 2022-01-21
JIANGSU ELECTRIC POWER CO
View PDF0 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
If the data is not preprocessed, the evaluation time interval needs to be extended to 15 minutes, which reduces the real-time performance of distribution network status evaluation
[0008] Third, although there are currently methods for generating pseudo-measurement data of AMI during the non-AMI sampling period, most studies usually use the closest AMI sampling value in time as the pseudo-measurement of the adjacent non-AMI sampling period data, or the pseudo-measurement data generated by simple processing, the accuracy of the pseudo-measurement data generated by this processing method is very low, and it cannot meet the requirements of the distribution network for high-precision state evaluation in the non-AMI sampling time period
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0039] The application will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present application.
[0040] figure 1 It is a schematic flow chart of steps in a distribution network state assessment method based on multi-section smart meter data in the present invention. Such as figure 1 As shown, a distribution network state assessment method based on multi-section smart meter data includes step 1 and step 2.
[0041] Step 1: Obtain the AMI sampling time, and determine the reading of the SCADA sampling data and the AMI sampling data based on the comparison between the current time and the AMI sampling time. Among them, when the AMI sampling data cannot be read, based on the preset sliding time window length and polynomial fitting order, the polynomial fitting method is used to fit the AMI pseud...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
A power distribution network state evaluation method based on multi-section intelligent instrument data is characterized by comprising the following steps: step 1, acquiring an AMI sampling moment, and determining reading of SCADA sampling data and AMI sampling data based on comparison between the current moment and the AMI sampling moment, wherein when AMI sampling data cannot be read, based on a preset sliding time window length and a polynomial fitting order, a polynomial fitting method is adopted to fit AMI pseudo measurement data; and step 2, evaluating the real-time state of the system node of the power distribution network based on the data obtained in the step 1, and outputting an evaluation result. The method is simple in operation process, the pseudo measurement result can be finely adjusted flexibly and stably based on historical data, and the evaluation result is accurate.
Description
technical field [0001] The invention relates to the field of power system control, and more specifically, to a distribution network state evaluation method based on multi-section smart meter data. Background technique [0002] At present, under the background of promoting the transformation of energy structure, a large number of distributed power sources, electric vehicle charging piles, and energy storage systems are connected to the distribution network in a distributed manner, and the input and output of electric energy are realized flexibly and decentralized. In order to meet the transmission and distribution needs of more complex distribution network systems, it is very important to obtain the real-time status of the distribution network in a timely and accurate manner. [0003] In the prior art, a data acquisition and supervisory control and control system (SCADA, Supervisory Control And Data Acquisition) has a wide range of applications and mature technology, and occu...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/18G06Q10/06G06Q50/06G06F113/04
CPCG06F30/18G06Q10/0639G06Q50/06G06F2113/04
Inventor 胡金峰龚逊东凌佳凯秦军马尚黄蔓云臧海祥孙国强
Owner JIANGSU ELECTRIC POWER CO