A Systematic Method to Model Power Systems as Stochastic Differential Algebraic Equations

被引:192
|
作者
Milano, Federico [1 ]
Zarate-Minano, Rafael [2 ]
机构
[1] Univ Coll Dublin, Belfield, Ireland
[2] Univ Castilla La Mancha, E-13071 Ciudad Real, Spain
关键词
Ornstein-Uhlenbeck's process; power system dynamics; stochastic differential algebraic equations (SDAE); time domain integration; Wiener's process; TRANSIENT STABILITY; RISK;
D O I
10.1109/TPWRS.2013.2266441
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a systematic and general approach to model power systems as continuous stochastic differential-algebraic equations. With this aim, the paper provides a theoretical background on stochastic differential-algebraic equations and justifies the need for stochastic models in power system analysis. Then, the paper describes a general procedure to define stochastic dynamic models. Practical issues related to the numerical integration of the resulting power system model are also discussed. A case study illustrating the proposed approach is provided based on the IEEE 145-bus 50-machine system. The case study also illustrates and compares the reliability of the results obtained using stochastic and conventional probabilistic models.
引用
收藏
页码:4537 / 4544
页数:8
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