Title :
A Systematic Method to Model Power Systems as Stochastic Differential Algebraic Equations
Author :
Milano, F. ; Zarate-Minano, Rafael
Author_Institution :
Univ. Coll. Dublin, Belfield, Ireland
Abstract :
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.
Keywords :
IEEE standards; differential algebraic equations; power systems; probability; stochastic processes; IEEE 145-bus 50-machine system; continuous stochastic differential-algebraic equations; conventional probabilistic models; general approach; integration; numerical integration; power system analysis; power systems model; stochastic dynamic models; stochastic models; stochastic probabilistic models; systematic approach; systematic method; Ornstein-Uhlenbeck´s process; Wiener´s process; power system dynamics; stochastic differential algebraic equations (SDAE); time domain integration;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2013.2266441