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An accurate estimation of stator resistance is very important especially during operation of an induction motor due to variation in the stator resistance and temperature of the working machine. This paper proposes a Neuro-fuzzy Technique (NFT) for an online estimation of the stator resistance under steady state operating conditions of an induction motor. The proposed technique is compared with the...
Vulnerability Assessment and control are some of the essential requirements for maintaining security of modern power systems, particularly in competitive energy markets. This paper presents intelligent computational techniques for vulnerability assessment of power systems and recommends preventive control measures. Accurate techniques for vulnerability assessment and control of power systems are developed...
Vulnerability assessment of a power system has been of great concern due to the continual blackouts in recent years which indicate that a power system today is too vulnerable to withstand an unforeseen catastrophic contingency. This paper presents a new approach to assess vulnerability of a power system based on radial basis function neural network. A new feature extraction method named as the neural...
Vulnerability assessment in power systems is important so as to determine how vulnerable a power system in case of any unforeseen catastrophic events. To assess the level of system strength or weakness relative to the occurrence of an undesired event, a quantitative measure based on vulnerability index is often considered. The objective of this paper is to investigate and compare the performance of...
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