Novel Affine Power Flow Method for Improving Accuracy of Interval Power Flow Data in Cyber Physical Systems of Active Distribution Networks

Chen Lyu; Wanxing Sheng; Keyan Liu; Xinzhou Dong

doi:10.17775/CSEEJPES.2020.07040

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 >

Novel Affine Power Flow Method for Improving Accuracy of Interval Power Flow Data in Cyber Physical Systems of Active Distribution Networks

Regular Papers | 更新时间：2026-10-15

- Novel Affine Power Flow Method for Improving Accuracy of Interval Power Flow Data in Cyber Physical Systems of Active Distribution Networks
- Novel Affine Power Flow Method for Improving Accuracy of Interval Power Flow Data in Cyber Physical Systems of Active Distribution Networks
- 中国电机工程学会电力与能源系统学报(英文) 2023年9卷第5期页码：1881-1892
- 作者机构：
  
  1. Department of Electrical Engineering, Tsinghua University,Beijing,China
  2. China Electric Power Research Institute,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2020.07040
  中图分类号：
- 纸质出版：2023-09-01
- 稿件说明：
移动端阅览
Chen Lyu, Wanxing Sheng, Keyan Liu, 等. Novel Affine Power Flow Method for Improving Accuracy of Interval Power Flow Data in Cyber Physical Systems of Active Distribution Networks[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(5):1881-1892.

Chen Lyu, Wanxing Sheng, Keyan Liu, et al. Novel Affine Power Flow Method for Improving Accuracy of Interval Power Flow Data in Cyber Physical Systems of Active Distribution Networks[J]. CSEE Journal of Power and Energy Systems, 2023, 9(5): 1881-1892.
Chen Lyu, Wanxing Sheng, Keyan Liu, 等. Novel Affine Power Flow Method for Improving Accuracy of Interval Power Flow Data in Cyber Physical Systems of Active Distribution Networks[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(5):1881-1892. DOI： 10.17775/CSEEJPES.2020.07040.

Chen Lyu, Wanxing Sheng, Keyan Liu, et al. Novel Affine Power Flow Method for Improving Accuracy of Interval Power Flow Data in Cyber Physical Systems of Active Distribution Networks[J]. CSEE Journal of Power and Energy Systems, 2023, 9(5): 1881-1892. DOI： 10.17775/CSEEJPES.2020.07040.

摘要

Abstract

A large number of load power and power output of distributed generation in an active distribution network (ADN) are uncertain

which causes the classical affine power flow method to encounter problems of interval expansion and low efficiency when applied to an AND. This then leads to errors of interval power flow data sources in the cyber physical system (CPS) of an ADN. In order to improve the accuracy of interval power flow data in the CPS of an ADN

an affine power flow method of an ADN for restraining interval expansion is proposed. Aiming at the expansion of interval results caused by the approximation error of non-affine operations in an affine power flow method

the approximation method of the new noise source coefficient is improved

and it is proved that the improved method is superior to the classical method in restraining interval expansion. To overcome the decrease of computational efficiency caused by new noise sources

a novel merging method of new noise sources in an iterative process is designed. Simulation tests are conducted on an IEEE 33-bus

PG&E 69-bus and an actual 1180-bus system

which proves the validity of the proposed affine power flow method and its advantages in terms of computational efficiency and restraining interval expansion.

关键词

Keywords

references

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

Decoupled piecewise linear power flow and its application to under voltage load shedding

Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation

Bi-Level Mixed-Integer Nonlinear Optimization for Pelagic Island Microgrid Group Energy Management Considering Uncertainty

Inverse-Function-Based DC Power Flow Formulation with Loss and Voltage Magnitude Considerations

Adjustable Robust Sizing and Operation Co-Optimization for Grid-Connected LVDC Systems with Photovoltaic and Battery