An application of neural network to dynamic dispatch using multi processors

Optimal dynamic economic dispatch of generation: A review

“…Then the task is to constitute a suitable energy function having the basic form of the energy function of HNN. Fukuyama and Ueki [28] applied neural network techniques in an attempt to solve the DED problem with security constraints. To suppress the local convergence, a probabilistic noise was added to the HNN model.…”

“…The DED problem has been solved with many different forms of the cost function, such as the smooth quadratic cost function (see e.g. [4,28,12,23,29]) (9) or the nonsmooth cost function due to the valve-point effects (see e.g. [15,[30][31][32])…”

“…The second category is the methods based on artificial intelligence, such as artificial neural networks [28,40] and stochastic optimization methods such as genetic algorithm (GA) [33], simulated annealing (SA) [41], evolutionary programming (EP) [42], differential evolution (DE) [43,44], particle swarm optimization (PSO) [26,39,45] and Hopfield neural network (HNN) that have been successfully used for solving the DED problem. Artificial neural networks such as HNN have been found to generate a high quality solution for the DED problems with smooth cost functions [40,28].…”

“…Artificial neural networks such as HNN have been found to generate a high quality solution for the DED problems with smooth cost functions [40,28]. Stochastic optimization methods can solve DED without any or fewer restrictions on the shape of the cost function curves due to their ability to seek the global optimal solution.…”

Short-term hydrothermal generation scheduling by a modified dynamic neighborhood learning based particle swarm optimization

“…Traditionally, the relation between the consumed fuel and generated power of the thermal power plants are approximated using a simple smooth quadratic function. This approximation is widely used in literature for modeling the cost function of the thermal units [12,49,50]. The quadratic cost function of thermal units is expressed using the following equation.…”