System Strength Assessment Based on Multi-task Learning

Baoluo Li; Shiyun Xu; Huadong Sun; Zonghan Li; Lin Yu

doi:10.17775/CSEEJPES.2023.00440

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

System Strength Assessment Based on Multi-task Learning

Special Section Papers | 更新时间：2026-10-15

- System Strength Assessment Based on Multi-task Learning
- System Strength Assessment Based on Multi-task Learning
- 中国电机工程学会电力与能源系统学报(英文) 2024年10卷第1期页码：41-50
- 作者机构：
  
  1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University,Jinan,China
  2. China Electric Power Research Institute,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2023.00440
  中图分类号：
- 纸质出版：2024-01-01
- 稿件说明：
移动端阅览
Baoluo Li, Shiyun Xu, Huadong Sun, 等. System Strength Assessment Based on Multi-task Learning[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(1):41-50.

Baoluo Li, Shiyun Xu, Huadong Sun, et al. System Strength Assessment Based on Multi-task Learning[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1): 41-50.
Baoluo Li, Shiyun Xu, Huadong Sun, 等. System Strength Assessment Based on Multi-task Learning[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(1):41-50. DOI： 10.17775/CSEEJPES.2023.00440.

Baoluo Li, Shiyun Xu, Huadong Sun, et al. System Strength Assessment Based on Multi-task Learning[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1): 41-50. DOI： 10.17775/CSEEJPES.2023.00440.

摘要

Abstract

Increase in permeability of renewable energy sources (RESs) leads to the prominent problem of voltage stability in power system

so it is urgent to have a system strength evaluation method with both accuracy and practicability to control its access scale within a reasonable range. Therefore

a hybrid intelligence enhancement method is proposed by combining the advantages of mechanism method and data driven method. First

calculation of critical short circuit ratio (CSCR) is set as the direction of intelligent enhancement by taking the multiple renewable energy station short circuit ratio as the quantitative indicator. Then

the construction process of CSCR dataset is proposed

and a batch simulation program of samples is developed accordingly

which provides a data basis for subsequent research. Finally

a multi-task learning model based on progressive layered extraction is used to simultaneously predict CSCR of each RESs connection point

which significantly reduces evaluation error caused by weak links. Predictive performance and anti-noise performance of the proposed method are verified on the CEPRI-FS-102 bus system

which provides strong technical support for real-time monitoring of system strength.

关键词

Keywords

references

11. GE Energy Consulting . ( 2014, Oct. ). Minnesota renewable energy integration and transmission study: final report [Online ] . Available: https://mn.gov/commerce-stat/pdfs/mrits-report-2014.pdf.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

A Critical System Strength Evaluation of a Power System with High Penetration of Renewable Energy Generations

Enhanced Transient Stability Strategy for Grid-Forming Converter Based on Current Limiting

Lagrangian Modelling and Motion Stability of Synchronous Generator-based Power Systems

Power Flow Analytical Solutions and Multi-Dimensional Voltage Stability Boundaries Based on Multivariate Quotient-Difference Method

Synchronization Stability Analysis of Multi-VSC Grid-Connected System via Multi-Scale Method