Power System Risk Assessment Software Design under Impact of Disaster Conditions

Abstract:

With the Influence of disaster factor on power system reliability become more and more significant, traditional deterministic risk analysis method has been difficult to adapt to power system risk assessment in changing disaster conditions. This paper puts disaster factor into power system risk assessment, and use improved Monte Carlo method to analyze the risk of all possible states of the system. Combined with online short-term assessment technology, based on the integration of multiple data sources, it uses several typical risk indexes for power system risk assessment under the impact of disaster conditions, then shows power grid operation risk, security warning information and weakness information. The system has been applied to practical power system to verify its scientific and practical design.

• Periodical: Applied Mechanics and Materials (Volume 441)
• Pages: 204-207
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.441.204
• Online since: December 2013
• Authors: Xiao Long Zhao, Jian Hua Zhang
• Keywords: Disaster Conditions, Monte Carlo Method, Risk Assessment, Software Design

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