Analytic Estimation Method of Forced Oscillation Amplitude Under Stochastic Continuous Disturbances
Abstract
This paper proposes an analytic method for the amplitude estimation of the forced oscillation under stochastic continuous disturbances (SCDs). There is considerable interest in the integration of intermittent renewable energy resources into a power system, which leads to the power system in an environment with SCDs. Thus, the forced oscillation issues under SCDs are of concern. In this paper, the SCDs are described as continuous-time stochastic processes, and then the systems under SCDs are modeled by stochastic differential algebraic equations. Furthermore, by employing stochastic theory, an efficient analytic method for calculating the statistics of system states during the forced oscillation is proposed. Moreover, a novel forced oscillation phenomenon, which presents system states oscillate with stationary distributions under SCDs, is clearly characterized and theoretically explained. Based on the proposed analytic method, a scheme is put forth to estimate amplitudes of system states during forced oscillation under SCDs. Finally, compared to Monte Carlo simulation, the proposed scheme has two significant advantages. First, the proposed scheme offers a fast and effective solution for engineering applications. Second, the impact mechanism of SCDs on forced oscillation in power system is clearer, by the proposed scheme.
- Authors:
-
- Hohai Univ., Nanjing (China). College of Energy and Electrical Engineering
- Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
- Florida Atlantic Univ., Boca Raton, FL (United States). Dept. of Computer and Electrical Engineering and Computer Science, Inst. for Sensing and Embedded Network Systems Engineering
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1564164
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Smart Grid
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 4; Journal ID: ISSN 1949-3053
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING
Citation Formats
Li, Hongyu, Ju, Ping, Gan, Chun, Tang, Yufei, Yu, Yiping, and Liu, Yilu. Analytic Estimation Method of Forced Oscillation Amplitude Under Stochastic Continuous Disturbances. United States: N. p., 2019.
Web. doi:10.1109/TSG.2018.2848637.
Li, Hongyu, Ju, Ping, Gan, Chun, Tang, Yufei, Yu, Yiping, & Liu, Yilu. Analytic Estimation Method of Forced Oscillation Amplitude Under Stochastic Continuous Disturbances. United States. https://doi.org/10.1109/TSG.2018.2848637
Li, Hongyu, Ju, Ping, Gan, Chun, Tang, Yufei, Yu, Yiping, and Liu, Yilu. Wed .
"Analytic Estimation Method of Forced Oscillation Amplitude Under Stochastic Continuous Disturbances". United States. https://doi.org/10.1109/TSG.2018.2848637. https://www.osti.gov/servlets/purl/1564164.
@article{osti_1564164,
title = {Analytic Estimation Method of Forced Oscillation Amplitude Under Stochastic Continuous Disturbances},
author = {Li, Hongyu and Ju, Ping and Gan, Chun and Tang, Yufei and Yu, Yiping and Liu, Yilu},
abstractNote = {This paper proposes an analytic method for the amplitude estimation of the forced oscillation under stochastic continuous disturbances (SCDs). There is considerable interest in the integration of intermittent renewable energy resources into a power system, which leads to the power system in an environment with SCDs. Thus, the forced oscillation issues under SCDs are of concern. In this paper, the SCDs are described as continuous-time stochastic processes, and then the systems under SCDs are modeled by stochastic differential algebraic equations. Furthermore, by employing stochastic theory, an efficient analytic method for calculating the statistics of system states during the forced oscillation is proposed. Moreover, a novel forced oscillation phenomenon, which presents system states oscillate with stationary distributions under SCDs, is clearly characterized and theoretically explained. Based on the proposed analytic method, a scheme is put forth to estimate amplitudes of system states during forced oscillation under SCDs. Finally, compared to Monte Carlo simulation, the proposed scheme has two significant advantages. First, the proposed scheme offers a fast and effective solution for engineering applications. Second, the impact mechanism of SCDs on forced oscillation in power system is clearer, by the proposed scheme.},
doi = {10.1109/TSG.2018.2848637},
journal = {IEEE Transactions on Smart Grid},
number = 4,
volume = 10,
place = {United States},
year = {Wed Jun 19 00:00:00 EDT 2019},
month = {Wed Jun 19 00:00:00 EDT 2019}
}
Web of Science
Figures / Tables:
Works referencing / citing this record:
Stochastic Control for Intra-Region Probability Maximization of Multi-Machine Power Systems Based on the Quasi-Generalized Hamiltonian Theory
journal, December 2019
- Lin, Xue; Sun, Lixia; Ju, Ping
- Energies, Vol. 13, Issue 1
Figures / Tables found in this record: