NPP: Power Grid Mutual Safety Assessment - Nuclear Power Plant Instrumentation and Control Systems for Safety and Security - page 430

Holmgren A., Molin S. (2006) Using Disturbance
Data to Assess Vulnerability of Electric Power
Delivery Systems. Journal Infrastructure systems,
American Society of Civil Engineers (ASCE), 12
(4), 243-251.

Tsarenko, A. Viachaslau Herasimovich. (2008).
Overview of Electricity Market in Ukraine. Cen-
ter for Social and Economic Research - CASE
Ukraine. - Kiev.

Weber, P., & Iung, B. (2001). System approach-
based Bayesian Network to aid maintenance of
manufacturing process. 6th IFAC Symposium on
Cost Oriented Automation, Low Cost Automation.
Berlin, Germany, October 8-9, 33-39 p.

Johnson, B., & Christensen, L. (2008). Educa-
tional research: Quantitative, qualitative, and
mixed approaches . Thousand Oaks, CA: Sage
Publications. doi:10.1093/swr/32.1.3

Kaijser, A. (1984). The Swedish Infrastructure -
Historical Development and Future Challenges .
Stockholm: Carlsson.

Weber, P., Jouffe, L. (2006). Complex system
reliability modeling with Dynamic Object Ori-
ented Bayesian Networks (DOOBN). Reliability
Engineering and System Safety. - 1999. - Volume
91, Issue 2, 149-162 p.

Kang C , , Golay M (1999). Bayesian belief
network-based advisory system for operational
availability focused diagnosis of complex nuclear
power systems. Expert Systems with Applications ,
17 (1), 21-32.

Zadeh, L., & Kacprzyk, J. (2001). Computing with
words in Information. Intelligent Systems - Part
1: Foundation, Part 2, USA.

Leech, N., & Onwuegbuzie, A. (2008). Qualita-
tive data analysis: A compendium of techniques
for school psychology research and beyond.
School Psychology Quarterly , 23 , 587-604.
doi:10.1037/1045-3830.23.4.587

KEY TERMS AND DEFINITIONS

Bayesian Belief Network: A probabilistic
graphical model (a type of statistical model) that
represents a set of random variables and their
conditional dependencies via a directed acyclic
graph (DAG).
Electrical Grid: An interconnected network
for delivering electricity from suppliers to consum-
ers. It consists of generating stations that produce
electrical power, high-voltage transmission lines
that carry power from distant sources to demand
centers, and distribution lines that connect indi-
vidual customers.
Fuzzy Logic: a form of many-valued logic;
it deals with reasoning that is approximate rather
than fixed and exact. Compared to traditional
binary sets (where variables may take on true or
false values) fuzzy logic variables may have a
truth value that ranges in degree between 0 and 1.
Probability (or Likelihood): A measure or
estimation of how likely it is that something will
happen or that a statement is true.

Linstone, H. (1984). Multiple Perspectives for
Decision-Making: Bridging the Gap Between
Analysis and Action, Holland, Amsterdam.

Moskalenko, N., & Sokolnokova, T. (2010).
Smart Grid - German and Russian Perspectives
in Comparison. International Conference on
Modern Electric Power Systems 2010, (pp.23-30),
Wroclaw, Poland ADDITIONAL READING

Reactor Safety Study - An Assessment of Accident
Risk in U.S. Commercial Nuclear Power Plants,
WASH-1400 (NUREG-75/014), October 1998.

Severe Accident Risk Assessment for Five U.S.
Nuclear Power Plants, NUREG-1150, Draft 2,
1989 .

The Ukrainian electricity system - a brief overview
(differgroup.com, February, 2012)