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Voltage instability is considered as one of the main threats to secure operation of power system networks around the world. Grid connected renewable energy-based generation are developing in recent years for many economic and environmental reasons. This type of generation could have significant impact on power system voltage stability given the nature of the primary source of generation and the technology...
This paper proposes approximate loading margin methods using artificial neural networks (NN) for static voltage stability in power systems. Two methodologies, namely actual LM with NN (ALM-NN) and maximum loading margin with NN (MLM-NN), are proposed for finding NN training data sets. Artificial neural network is used to approximate the loading margin at particular generation direction. The proposed...
In this paper, a modified artificial immune network algorithm (MAINetA) is used for placement of static VAr compensators (SVC) in a large-scale power system to improve voltage stability. To enhance voltage stability, the planning problem is formulated as a multiobjective optimization problem for maximizing fuzzy performance indices for bus voltage deviation, system loss and the installation cost....
This paper presents a method to seek the optimal location of several static Var compensators (SVCs) in a power system based on their primary function. Taking advantages of the flexible ac transmission system (FACTS) devices depends largely on how these devices are placed in the power system, namely, on their location and size. In addition to their primary function, the supplementary damping control...
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