Neural network architecture choice for modelling various configurations power system

network formulation for power system analysis

this paper presents as a brief introduction , the basic principles of matrix algebra for an alysing the power system problems with digital computers. the material contained in the text are as follows: primitive network, topology of electrical network, transformation of coordinates, bus admittance and bus impedance matrix.

Neural network based power system stabilizers

Novel power system neural network (ANN) based stabilizers (PSS) are presented. The two ANN-PSS designs are driven by the speed error and its rate of change. Other supplementary Stabilizing signals such as voltage deviation, ezcursion error, and PSS output rate of change are utilized to ensure the best matching between the ANN-PSS design and the optimized conventional analog PSS bench-mark model...

Modelling the Temporal Aspects of Network Configurations

One of the main issues with the existing management configuration is the absence of a transactional model, which should allow the network configuration data to retain their integrity and consistence during the configuration process. In this paper, we propose a mathematical framework based on lattice theory allowing the structuring of configuration operations leading to the concept of component ...

CMAC Neural Network with Improved Generalization Property for System Modelling

VLSI Architecture for Neural Network

In this paper a hardware implementation of an artificial neural network on Field Programmable Gate Arrays (FPGA) is presented. For the neural network based instrument prototype in real time application, conventional specific VLSI neural chip design suffers the limitation in time and cost. With the low precision artificial neural network (ANN) design, FPGAs have higher speed and smaller size for...