Enhanced Power System Security Assessment Through Intelligent Decision Trees - Complex System Modelling and Control Through Intelligent Soft Computations - page 347

Fig. 10 French 400 kV network with SEO and Brittany highlighted
December, January, and February months. A lot of loads were shed in the month of
January under stressful conditions motivated by economic and reliability consid-
erations for system operation. The loading pattern over the year changes depending
upon various factors such as, if it is winter or summer, week or week-end, day or
night, peak-hours or off peak hours etc. Typically, the load is heavier during the
daytime of weekdays in winter, as shown by the statistics in Table 1 . Therefore,
these heavily loaded periods are the most constraining in terms of voltage, and the
study focuses on them for generating samples of operating conditions. Therefore,
MCS is not performed on the entire year distribution, but only on those relevant
periods that impact the considered stability problem.
Sampling: The pre-contingency operating conditions are generated from a base
case, by considering random changes of key parameters. The basecase of SEO
network considered corresponds to 2006/2007 winter, with the variable part of the