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Fuzzy Logic Controllers (FLC) provides excellent control to non-linear systems owing to its ability to represent linguistic and heuristic knowledge in mathematical formulation. However, this delineation comes at an expense of large no. of computations. This paper discusses Fired Rules Hyper Cube (FRHC) based rule reduction technique and implements it on Analog Devices ADSP-BF537 processor. Performance...
The application of large-scale Electric Vehicles (EVs) poses a threat to grid stability if charged without control. It needs expansion of the grid capacity and leads to major investment in current grid and capacity-wasting in low-load time. This paper proposes a solution based on two-level Electric Vehicles Charging Management System (EVCMS) to optimal demand side management by means of scheduling...
A fuzzy logic power system stabilizer is proposed, and a neural network is utilized for its real time tuning to keep its performance optimal under wider ranges of operating conditions. Simulation results show the efficiency of the proposed real time tuning of the fuzzy logic power system stabilizer by the neural network. The proposed fuzzy logic power system stabilizer can be configured by using a...
A microcomputer based fuzzy logic power system stabilizer is implemented to an actual hydroelectric generator with the rating of 5.25 MVA to investigate its efficiency in real time control. The stabilizing signal is determined by using sampled real power signals to damp the system oscillations. The results show the proposed stabilizer improves the system damping effectively subject to various types...
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