In this paper, a probabilistic neural network (PNN) based classifier is used to judge the static security of the power system. The proposed classifier classifies the security of the power system based on the voltage profile of each bus in reference to changes in the generation and load profile in the system. The probabilistic neural network is used and compared with the radial basis function ne...

Abstract With the rapid development of renewable energy, a large number energy stations are connected to power system, which leads decrease in inertia system and an increase safety risks suffered. Thus, online static security assessment (SSA) is increasingly necessary. However, because uncertainty it not feasible check all possible scenarios SSA. To reduce calculations achieve SSA short time, n...

our country, iran, is in the category of waterless and survived countries because of lack of climate downfalls to its unsuitable local to temporal transmittance. environmental concerns mainly after 1960s that have boon seriously proposed in universal politics, created a variety of assessments. in the late decades, environmental change such as: climate change, has caused chief challenges for the...

This paper proposes a novel approach for generation scheduling using sensitivitycharacteristic of a Security Analyzer Neural Network (SANN) for improving static securityof power system. In this paper, the potential overloading at the post contingency steadystateassociated with each line outage is proposed as a security index which is used forevaluation and enhancement of system static security....

Till now, many transfer capability techniques are performed in a simplified manner, with limited consideration of security constraints. This is unacceptable as the risks for not evaluating security impacts are high. There have been doubts on whether current techniques could provide secure transfer capability assessment and thus introducing a new challenge. This paper presents an optimal power f...