一种实用的大电网低频振荡概率稳定性分析方法

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (406 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract A new two-point-estimation (TPE) based power system low-frequency-oscillation probability stability analysis method (TLPA) suitable for large scale power system is proposed in this paper. The probability stability index is defined. If the probability distributions of the uncertainties in the power system are known, the probability of occurring low-frequency-oscillation because of these uncertainties can be calculated out based on TPE by very less computation. The digital simulation results of the IEEE-16-generator power system and the Central China-North China interconnected bulk power system demonstrate that: the same precision with less computation can be achieved by TLPA comparing to Monte Carlo simulation. So it is practical for large scale power system.

Key words： Power system low frequency oscillation point estimate method probability stability analysis

Received: 11 February 2009 Published: 04 March 2014

PACS:

TM732

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Yang Huimin
	Yi Haiqiong
	Wen Jinyu
	Cheng Shijie

Cite this article:

Yang Huimin,Yi Haiqiong,Wen Jinyu等. A Practical Stability Analysis Method for Large-Scale Power System Based on Low-Frequency-Oscillation Probability[J]. Transactions of China Electrotechnical Society, 2010, 25(3): 124-129.

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2010/V25/I3/124

[1] 刘取. 电力系统稳定性及发电机励磁控制[M]. 北京: 中国电力出版社, 2007.
[2] 宗秀红, 张尧, 武志刚. 电压稳定的概率特征根分析[J]. 中国电机工程学报, 2006, 26(8): 61-65.
[3] Wang K W, Chung C Y, Tse C T, et al. Improved probabilistic method for power system dynamic stability studies[C]. IEE Proceedings: Generation, Transmission and Distribution, 2000, 147 (1): 37-43.
[4] 李文沅, 卢继平. 暂态稳定概率评估的蒙特卡罗方法[J]. 中国电机工程学报, 2005, 25(10): 18-23.
[5] Xu Z, Dong Z Y, Zhang P. Probabilistic small signal analysis using Monte Carlo simulation[C]. Power Engineering Society General Meeting, 2005. IEEE, 2005: 1658-1664.
[6] 易海琼, 程时杰, 侯云鹤. 基于点估计的电力系统小扰动稳定概率分析[J]. 电力系统自动化, 2007, 31(23): 1-5.
[7] Ni M, Mccalley J D, Vittal V, et al. Online risk-based security assessment[J]. IEEE Trans. on Power Systems, 2003, 18(1): 258-265.
[8] Schilling M T, Leite da Silva A M, Billinton R. Bibliography on power system probabilistic analysis[J]. IEEE Transactions on Power System, 1990, 5(1): 1-11.
[9] 陈为化, 江全元, 曹一家. 基于风险理论的复杂电力系统脆弱性评估[J]. 电网技术, 2005, 29(4): 12-17.
[10] 王克文, 钟志勇, 谢志棠, 等. 混合使用中心矩与累加量的电力系统概率特征根分析方法[J]. 中国电机工程学报, 2000, 20(5): 37-41.
[11] Hong H P. Efficient point estimate method for probabilistic analysis[J]. Reliability Engineering & System Safety, 1998, 59(3): 261-267.
[12] Su C L. Probabilistic load-flow computation using point estimate method[J]. IEEE Trans. on Power Systems, 2005, 20 (4): 1843-1851.
[13] Hong H P. Efficient point estimate method for probabilistic analysis[J]. Reliability Engineering & System Safety, 1998, 59(3): 261-267.
[14] Su C L, Lu C N. Two-point estimate method for quantifying transfer capability uncertainty [J]. IEEE Trans. on Power Systems, 2005, 20(2): 573-579.
[15] Chow J H. Power system toolbox: a set of coordinated m-files for use Matlab[R]. New York:Cherry Tree Scientific, 1996.
[16] PSASP6.24使用手册[R]. 北京: 中国电力科学研究院, 2003.