Check patentability & draft patents in minutes with Patsnap Eureka AI!

Multi-period rolling optimization method of dynamic state estimation of power system

A technology of dynamic state estimation and rolling optimization, applied in electrical components, circuit devices, AC network circuits, etc., can solve problems such as divergence, non-compliance, and inaccurate estimation method results.

Active Publication Date: 2018-04-06
GUANGXI UNIV
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the actual power production, the measurement error distribution is often uncertain and does not obey this distribution, which leads to inaccurate or even divergent results of the estimation method based on the extended Kalman filter principle.

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
  • Multi-period rolling optimization method of dynamic state estimation of power system
  • Multi-period rolling optimization method of dynamic state estimation of power system
  • Multi-period rolling optimization method of dynamic state estimation of power system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the technical solutions of the present invention will be described in further non-limiting detail below in conjunction with the accompanying drawings and specific embodiments.

[0033] See figure 1 , a multi-period rolling optimization method for power system dynamic state estimation, the steps are as follows:

[0034] Step 1, initialize system variable x, time weight w t , and the period length k, read the measurement data of k time periods forward, and establish a dynamic state estimation rolling optimization model based on the measurement data of k periods. Since this model is modeled from the perspective of multi-period optimization, error distribution information is not required.

[0035] See figure 2 , the rolling optimization estimation period k can be adjusted dynamically, and its size is used to coordinate the calculation speed and estimation ac...

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 multi-period rolling optimization method of dynamic state estimation of a power system. According to the method, based on multi-period measurement data, a dynamic state estimation rolling optimization model is established; the model contains measurement data of k moments of the system, after the measurement data of the current moment are uploaded, the measurement data ofthe earliest moment in the model are replaced, then a calculation weight is calculated, estimation calculation is executed to obtain an estimation result, the model is continuously updated with the update of a sampling moment, and the multi-period rolling optimization of the dynamic state estimation of the power system is achieved. According to the method, a minimum norm of a residual is used as atarget function, no system prior distribution information is needed, optimization period length k can be dynamically adjusted according to the actual needs, and the estimation result can provide a data support for the application of online and offline stable analysis of the power system.

Description

technical field [0001] Embodiments of the present invention belong to the field of power grid optimization, and in particular, relate to a multi-period rolling optimization method for power system dynamic state estimation. Background technique [0002] Static state estimation of power system is one of the core functions of EMS, and it has been generally valued by academia and power industry. However, with the wide application of PMU, dynamic state estimation of power system has gradually attracted attention. At present, the dynamic state estimation of the power system is mainly based on various recursive estimation algorithms based on the extended Kalman filter principle, and its characteristic is that the error must be assumed to satisfy the Gaussian distribution. However, in the actual power production, the distribution of measurement errors is often uncertain and does not obey this distribution, which leads to inaccurate and even divergent results of the estimation method...

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 & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 刘辉魏小伟阳育德汪旎韦化
Owner GUANGXI UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com