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基于牛顿法和拟牛顿法自适应结合的高比例新能源接入电网故障计算方法

郑涛 曲荣淇 陈云飞 艾静雯

电力系统保护与控制2025,Vol.53Issue(10):57-65,9.
电力系统保护与控制2025,Vol.53Issue(10):57-65,9.DOI:10.19783/j.cnki.pspc.240919

基于牛顿法和拟牛顿法自适应结合的高比例新能源接入电网故障计算方法

Fault calculation method for a power grid with high penetration of renewable energy based on adaptive combination of Newton and quasi-Newton methods

郑涛 1曲荣淇 1陈云飞 1艾静雯1

作者信息

  • 1. 新能源电力系统国家重点实验室(华北电力大学),北京 102206
  • 折叠

摘要

Abstract

The high penetration of renewable energy into power grids introduces new challenges to the safe and stable operation of power systems.Existing short-circuit current calculation methods struggle to meet the speed requirements of modern power systems and often suffer from poor convergence as renewable energy penetration increases.This paper proposes a fault calculation method for power grids with high renewable energy integration,based on the adaptive combination of Newton and quasi-Newton methods.First,the influence of renewable energy control strategies on short-circuit current is analyzed,and an equivalent model for the steady-state fault condition of renewable energy sources is established.Then,to address the challenge of balancing computational speed and convergence in Newton-type iterative algorithms,non-convergence prediction and efficiency criteria are developed for renewable-rich scenarios.An adaptive selection mechanism is proposed to switch between Newton and quasi-Newton methods based on convergence and efficiency constraints,enabling accurate fault current computation.Finally,an improved IEEE33-bus test system with renewable energy integration is used for verification,and the results show that the proposed calculation method offers better performance in both computational speed and convergence than traditional methods.

关键词

分布式新能源/短路电流计算/迭代计算方法/收敛性

Key words

distributed renewable energy/short-circuit current calculation/iterative calculation method/convergence

引用本文复制引用

郑涛,曲荣淇,陈云飞,艾静雯..基于牛顿法和拟牛顿法自适应结合的高比例新能源接入电网故障计算方法[J].电力系统保护与控制,2025,53(10):57-65,9.

基金项目

This work is supported by the Joint Fund of National Natural Science Foundation of China(No.U2166205). 国家自然科学基金联合基金项目资助(U2166205) (No.U2166205)

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