基于点估计的电力系统小扰动稳定概率分析

YI Haiqiong; CHENG Shijie; HOU Yunhe; NI Yixin

您当前的位置：

首页 >

文章列表页 >

基于点估计的电力系统小扰动稳定概率分析

更新时间：2025-08-13

- 基于点估计的电力系统小扰动稳定概率分析
- Automation of Electric Power Systems Vol. 31, Issue 23, Pages: 1-4(2007)
- 作者机构：
  
  1. 华中科技大学电力安全与高效湖北省重点实验室,湖北省,武汉市,430074
  2. 清华大学深圳研究生院电力系统国家重点实验室深圳研究室,广东省,深圳市,518055
  3. 香港大学电机电子工程学系,香港
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2007
- 稿件说明：
移动端阅览
YI Haiqiong, CHENG Shijie, HOU Yunhe, et al. [J]. Automation of electric power systems, 2007, 31(23): 1-4.
DOI：

YI Haiqiong, CHENG Shijie, HOU Yunhe, et al. [J]. Automation of electric power systems, 2007, 31(23): 1-4. DOI：

摘要

针对电力系统中线路参数和负荷等存在的不确定因素，提出一种基于两点估计的电力系统小扰动稳定的概率分析方法。该方法将两点估计法和概率特征根分析技术相结合，计算出系统稳定概率、稳定指标、失稳类型及相应的参与因子等。相对于广泛使用的蒙特卡罗法，该方法能通过较少的计算准确得到所需要的统计特征量。一个两区域系统的仿真算例验证了所提出的方法的有效性。文中所提出的方法也适用于其他考虑不确定因素的电力系统分析。

Abstract

In this paper the two-point estimate（TPE） based method is proposed for probabilistic small signal stability（PSSS） analysis of power systems considering the uncertainties in system parameters， load and operating conditions， et al. In this method， the TPE method is outlined together with the calculation procedure， and the stability indices and the judgment of unstable types for power system PSSS are calculated. Compared with the widely-used Monte Carlo simulation method， the TPE based approach can estimate the statistical characteristics of random variables with less calculation cost while keeping enough precision. Simulation results of a 2-area power system show the effectiveness of the proposed algorithm. The proposed methodology can be extended to other applications in power system with uncertainties.

关键词

Keywords

references

Views

2308

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

电力系统小扰动概率稳定性的蒙特卡罗仿真

Review of Modeling, Solution and Application for Coordinated Operation of Power-Transportation Systems

Preliminary Study on Probabilistic Indicators for Frequency Security of Power Systems Under Large Disturbances

Marketization Mechanism Design for Risk Management and Resilience Enhancement of Power System Under Extreme Weather Conditions

Related Author

WU Hong

ZHAO Xia

ZHOU Jiaqi

QI Donglian

CHEN Yulin

ZHU Yizhe

LI Li

YAN Yunfeng

Related Institution

State Key Laboratory of Power Transmission Equipment & System Security and New Technology， Chongqing University

Hainan Institute of Zhejiang University

College of Electrical Engineering, Zhejiang University

Polytechnic Institute of Zhejiang University

Electric Power Research Institute of Guangdong Power Grid Co., Ltd.

⁰