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Energies 2017, 10(2), 180; doi:10.3390/en10020180

Risk-Based Probabilistic Voltage Stability Assessment in Uncertain Power System

School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Author to whom correspondence should be addressed.
Academic Editor: Birgitte Bak-Jensen
Received: 28 October 2016 / Revised: 19 January 2017 / Accepted: 23 January 2017 / Published: 5 February 2017
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The 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
Keywords: risk assessment; static voltage stability; wind power; Quasi-Monte Carlo (QMC); Conditional Value-at-Risk (CVaR); uncertainty risk assessment; static voltage stability; wind power; Quasi-Monte Carlo (QMC); Conditional Value-at-Risk (CVaR); uncertainty

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Deng, W.; Zhang, B.; Ding, H.; Li, H. Risk-Based Probabilistic Voltage Stability Assessment in Uncertain Power System. Energies 2017, 10, 180.

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