SDAE-Based Probabilistic Stability Analysis of Wind Integrated Power Systems

Tong Wang, Jing Yang, Jiuliang Liu, Pooja Gupta, Anamitra Pal, Jun Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a method for investigating the stability of the power system in presence of significant amounts of wind generation using stochastic differential algebraic equations (SDAEs). Contrary to the traditional approach of modelling the stochasticity only in the initial conditions, the SDAE-based method (SDAEM) describes wind power variation as a continuous stochastic process. Next, the model of a doubly fed induction generator (DFIG) grid-connected power system is also expressed as a SDAE. Finally, the probabilistic small signal stability (PSSS) and the probabilistic transient stability (PTS) conditions are defined. A single machine infinite bus (SMIB) system and a 16-machine, 68-bus system are used as the test systems for this analysis. The results indicate that SDAEM is more accurate and reliable in describing the system conditions in presence of stochastic inputs, and thus can be used to decide the right course of controller action.

Original languageEnglish (US)
Title of host publication2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538685495
DOIs
StatePublished - Dec 19 2018
Event2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Beijing, China
Duration: Oct 20 2018Oct 22 2018

Other

Other2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018
CountryChina
CityBeijing
Period10/20/1810/22/18

Keywords

  • power system stability
  • probabilistic stability
  • stochastic differential algebraic equations
  • wind power

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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  • Cite this

    Wang, T., Yang, J., Liu, J., Gupta, P., Pal, A., & Deng, J. (2018). SDAE-Based Probabilistic Stability Analysis of Wind Integrated Power Systems. In 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings [8582603] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI2.2018.8582603