Robust dynamic state estimation method for intelligent power distribution network

A technology of dynamic state estimation and robust state estimation, applied in computing, electrical components, circuit devices, etc., can solve problems such as no data association, insufficient data utilization efficiency, and inability to use SCADA robustness

Inactive Publication Date: 2020-09-22
SHANGHAI JIAO TONG UNIV +1
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing two-period or multi-period state estimation methods cannot use the redundant information provided by SCADA to improve the tolerance performance, and there is no data association in the two long periods before and after, and the data utilization efficiency is insufficient

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Robust dynamic state estimation method for intelligent power distribution network
  • Robust dynamic state estimation method for intelligent power distribution network
  • Robust dynamic state estimation method for intelligent power distribution network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Such as figure 1 and figure 2 As shown, this embodiment relates to a method for estimating the dynamic state of a smart distribution network with two-period data association, including the following steps:

[0038] Step 1) Obtain various parameters of the system and measurement configuration, construct a static model and a dynamic model of the system; perform a static tolerance state estimation to obtain an initial value;

[0039] Step 2) When the measurement time includes both μM-PMU and SCADA sampling, use the μM-PMU and SCADA measurement to form a full measurement model, and go to step 3); otherwise, form a linear measurement based on the μM-PMU measurement model; if this step is the first μM-PMU sampling moment in a cycle, go to step 5);

[0040] Step 3) Estimate the static tolerance state; turn to step 4);

[0041] Step 4) update the internal quantity of dynamic filtering, and correlate the data of two cycles; turn to step 5);

[0042] Step 5) carry out dynami...

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

No PUM Login to View More

Abstract

The invention discloses a robust dynamic state estimation method for an intelligent power distribution network. The method comprises the steps of constructing a system static model and a dynamic modelaccording to various parameters and measurement configuration conditions of the intelligent power distribution network, and obtaining an initial value through static robust state estimation; and thenin an SDADA measurement period, obtaining measurement of the [mu] M-PMU, generating a corresponding measurement model according to the obtaining time, and performing state prediction after dynamic filtering to obtain a robust dynamic state estimation result. According to the method, static robust state estimation is introduced into two-cycle dynamic state estimation, a two-cycle data fusion method is established, SCADA data can be effectively utilized to perform robust estimation, and the estimation result is utilized to associate the data of the front cycle and the data of the rear cycle.

Description

technical field [0001] The invention relates to a technology in the field of smart grid control, in particular to a two-period data-associated smart distribution network tolerance dynamic state estimation method. Background technique [0002] As a link in the "generation, transmission and distribution" of the power system, the distribution network directly faces power users, and its operation safety and economy are very important. The safe and economic operation of distribution network depends on real-time, reliable and complete distribution network operation status data. Due to errors or failures of measurement devices, code errors in communication systems, potential data attacks, etc., the data obtained by the distribution network control center often has errors or bad data, so it is necessary to preprocess the data by distribution network state estimation to improve The precision and quantity of the data. Among them, the dynamic state estimation relies on the measuremen...

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
no application Login to View More
Patent Type & AuthorityApplications(China)
IPC IPC(8): G06F17/16G06F30/20G06Q10/06G06Q50/06H02J13/00G06F111/10G06F113/04
CPCG06F17/16G06F30/20G06Q10/0639G06Q50/06H02J13/00001G06F2111/10G06F2113/04Y04S10/40
Inventor严正华斌徐潇源杨建平马骏宇鲁卓欣陈嘉梁陈思捷司文荣何光宇舒德兀魏新迟
OwnerSHANGHAI JIAO TONG UNIV