Risk-Based Probabilistic Voltage Stability Assessment in Uncertain Power System
AbstractThe risk-based assessment is a new approach to the voltage stability assessment in power systems. Under several uncertainties, the security risk of static voltage stability with the consideration of wind power can be evaluated. In this paper, we first build a probabilistic forecast model for wind power generation based on real historical data. Furthermore, we propose a new probability voltage stability approach based on Conditional Value-at-Risk (CVaR) and Quasi-Monte Carlo (QMC) simulation. The QMC simulation is used to speed up Monte Carlo (MC) simulation by improving the sampling technique. Our CVaR-based model reveals critical characteristics of static voltage stability. The distribution of the local voltage stability margin, which considers the security risk at a forecast operating time interval, is estimated to evaluate the probability voltage stability. Tested on the modified IEEE New England 39-bus system and the IEEE 118-bus system, results from the proposal are compared against the result of the conventional proposal. The effectiveness and advantages of the proposed method are demonstrated by the test results. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Deng, W.; Zhang, B.; Ding, H.; Li, H. Risk-Based Probabilistic Voltage Stability Assessment in Uncertain Power System. Energies 2017, 10, 180.
Deng W, Zhang B, Ding H, Li H. Risk-Based Probabilistic Voltage Stability Assessment in Uncertain Power System. Energies. 2017; 10(2):180.Chicago/Turabian Style
Deng, Weisi; Zhang, Buhan; Ding, Hongfa; Li, Hang. 2017. "Risk-Based Probabilistic Voltage Stability Assessment in Uncertain Power System." Energies 10, no. 2: 180.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.