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Unit Commitment Problem (UCP) is considered as a nonlinear mixed-integer combinatorial highly constrained optimization problem divided on two sub problems: binary UC scheduling and economic dispatch (ED). UCP is used to determine the appropriate operational scheduling of the units' production to satisfy the expected consumption at every hour interval under different constraints. In the last decades,...
This paper present a new and accurate scheme for fault classification of EHV transmission lines using fuzzy logic system. The fault classification scheme is developed by using only the post-fault magnitude of three phases current and its symmetrical components. The proposed fault classification technique is able to classify all faults type can be affect a transmission line such as the single-phase...
This paper presents a new approach based on the combination of the Particle Swarm Optimization and the gradient method to solve the unit commitment (UC) problem. The proposed strategy optimizes the combination of production units operations and determines the appropriate operational scheduling of each production units to satisfy the expected consumption during a well specific duration. Each production...
This paper present a novel fault location algorithm for Extra High Voltage transmission lines based on unsynchronized data generated from two-end of the line. Only post-fault currents and voltages at both ends of the line are required to estimate the synchronization angle and the exact distance to fault. First, a mathematical development is presented for estimated the synchronization angle. Then,...
This paper studies a new approach based on the artificial neural networks (ANN) for the fault detection and classification, in real time, in transmission lines to extra high voltage (EHV) which can be used in the production system digital protection. This approach is based on the treatment of each phase current and voltage. The outputs of the ANN indicate the fault presence and it type. The ANN detector...
As a perspective to ensure the voltage and frequency electrical network stability, the load shedding constitutes a desirable action to maintain the network service quality and to control its vulnerability. In this paper, we propose a new intelligent load shedding strategy applying fuzzy control algorithms. This strategy is based on the estimate, in real time, of the load quantity to shed. Calculation...
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