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During the past twenty years many methods have been presented in the literature as effective fault locators. These methods are based on impedance (time- or phasor-domain), travelling wave, or even using power quality data, superimposed components, and artificial intelligence based algorithms. Some of them are exclusively used for sub-transmission/transmission lines (overhead, underground, and joint-nodes),...
Many methods have been introduced as economic load dispatchers. However, all these methods depend on the optimization field, where most of these studies mainly focus on how to strengthen the optimization algorithms themselves. This means the mystery key that segregate between the good and bad ELD solvers is the optimization algorithm itself. However, there is a practical fact known in many real power...
The coordination problem of directional overcurrent relays (DOCRs) is considered as a highly constrained, nonlinear, and non-convex optimization problem. The summation of the operating times of all DOCRs, when they act as primary protective devices, is taken as the objective function that needs to be minimized. This stiff problem is mostly optimized based on IEC standard inverse time-current characteristic...
The economic load dispatch (ELD) problem of electric power systems has been solved by many techniques including traditional and modern optimization algorithms. The main problem of achieving this task is that all precise specifications of the generating units are required. Also, in practice, many power systems are operated without considering the ELD strategy due to the lack of experience to deal with...
Finding optimal settings of directional overcurrent relays (DOCRs) has been extensively solved by many scenarios with adopting different traditional and modern optimization algorithms. For the sack of simplicity, all the conducted studies in the literature are restricted on a condition that all DOCRs are numerical, static, or electromechanical. There is a fact that when jumping from electromechanical...
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm (EA). Although the exploitation level of BBO is good researchers found some weaknesses in its exploration. This study proposes a new hybridization between BBO and simulated annealing (SA) to enhance its performance. In this proposed algorithm, the inferior migrated islands will not be selected unless they pass the...
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