EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network

Chengshan Wang; Hao Yu; Peng Li; Jianzhong Wu; Chengdi Ding; Guanyu Song; Dun Lin; Feng Xing

doi:10.17775/CSEEJPES.2015.00007

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EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network

更新时间：2025-12-29

- EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network
- EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network
- 中国电机工程学会电力与能源系统学报(英文) 2015年1卷第1期页码：52-60
- 作者机构：
  
  1. Tianjin University,, Tianjin, CN,Tianjin
  2. Cardiff University, Cardiff, South Glamorgan,GB
  3. Hainan Power Grid Corporation,Haikou,China,570203
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2015.00007
  中图分类号：
- 纸质出版：2015
- 稿件说明：
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Chengshan Wang, Hao Yu, Peng Li, 等. EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network[J]. 中国电机工程学会电力与能源系统学报(英文), 2015,1(1):52-60.

Chengshan Wang, Hao Yu, Peng Li, et al. EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network[J]. CSEE Journal of Power and Energy Systems, 2015, 1(1): 52-60.
Chengshan Wang, Hao Yu, Peng Li, 等. EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network[J]. 中国电机工程学会电力与能源系统学报(英文), 2015,1(1):52-60. DOI： 10.17775/CSEEJPES.2015.00007.

Chengshan Wang, Hao Yu, Peng Li, et al. EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network[J]. CSEE Journal of Power and Energy Systems, 2015, 1(1): 52-60. DOI： 10.17775/CSEEJPES.2015.00007.

摘要

Abstract

Effective model reduction methods are required to deal with new challenges in active distribution network simulations that are on a large scale and have complicated structures. In the development of advanced electromagnetic transient simulation programs

automated model reduction plays an important role. This paper proposes an automated realization algorithm for the Krylov subspace based model reduction methods of an active distribution network with which the reduced model can be automatically established according to a given threshold of reduction error. The combined state-space nodal analysis framework is employed to apply the automated model reduction algorithm in popular EMTP-type simulation programs. Simulations are performed using PSCAD and a self-developed program to show the feasibility and validity of the proposed methods.

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