Analytical Assessment for Transient Stability Under Stochastic Continuous Disturbances

Journal Article · Wed Jun 28 00:00:00 EDT 2017 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/TPWRS.2017.2720687· OSTI ID:1415905

Ju, Ping ^[1]; Li, Hongyu ^[1]; Gan, Chun ^[2]; Liu, Yong ^[2]; Yu, Yiping ^[1]; Liu, Yilu ^[3]

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1. Hohai Univ., Nanjing (China)
2. The Univ. of Tennessee, Knoxville, TN (United States)
3. Univ. of Tennessee, Knoxville, TN (United States)

Here, with the growing integration of renewable power generation, plug-in electric vehicles, and other sources of uncertainty, increasing stochastic continuous disturbances are brought to power systems. The impact of stochastic continuous disturbances on power system transient stability attracts significant attention. To address this problem, this paper proposes an analytical assessment method for transient stability of multi-machine power systems under stochastic continuous disturbances. In the proposed method, a probability measure of transient stability is presented and analytically solved by stochastic averaging. Compared with the conventional method (Monte Carlo simulation), the proposed method is many orders of magnitude faster, which makes it very attractive in practice when many plans for transient stability must be compared or when transient stability must be analyzed quickly. Also, it is found that the evolution of system energy over time is almost a simple diffusion process by the proposed method, which explains the impact mechanism of stochastic continuous disturbances on transient stability in theory.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1415905
• Journal Information: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 99 Vol. PP; ISSN 0885-8950
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
energy function method
stability probability
stochastic averaging method
stochastic continuous disturbances
stochastic differential equations (SDEs)
transient stability