Abstract—In recent years worldwide are observed an increase in the negative effects of natural hazards on critical infrastructure, as well as on the Bulgarian electricity network. The aim this paper is to propose a framework of cloud based learning system for risk analysis of the Bulgarian electricity transmission and distribution network under natural hazards. The learning system includes several components: lists with monitored objects and predominant natural hazards on Bulgarian territory with their characteristics and locations in GIS; potential impacts caused by the natural disasters described; quantitative and qualitative methods for risk analysis and assessment of risk levels. The risk analysis results obtained with the proposed learning system can support the all stakeholders to take more informed decision about effective protection of the electricity network from natural hazards. The power outages strongly affect the transmission of data in Web and as well the all activities on the Internet as e-Education, e-Business, e-Management, e-Learning.

Index Terms—Bulgarian electricity network, interactive training system, natural hazards, risk analysis.

Plamena Zlateva is with Institute of Robotics, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl.2, 1113, Sofia, Bulgaria (email: dgvelev@unwe.bg).
Dimiter Velev is with University of National and World Economy, 8-mi Dekemvri Bldr., 1700, Sofia, Bulgaria.

Cite: Plamena Zlatevax, Dimiter Velev, "Framework of Cloud Based Learning System for Risk Analysis of the Bulgarian Electricity Network under Natural Hazards," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 9, no. 2, pp. 100-107, 2019.