Wind farms are enormous and complex control systems. It is challenging and valuable to control and optimize wind farms. Their applications are widely used in various industries. artificial intelligent algorithms are e...
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Wind farms are enormous and complex control systems. It is challenging and valuable to control and optimize wind farms. Their applications are widely used in various industries. artificial intelligent algorithms are effective methods for optimization problems due to their distinctive characteristics. They have been successfully applied to wind farms. In this paper, several issues in wind farms are presented. Applications of artificial intelligent algorithms in wind farm controllers, Mach number, wind speed prediction, wind power prediction and other problems of wind farms are reviewed. Two future research directions are pointed out to develop artificial intelligent algorithms for wind farm control systems and wind speed and power prediction.
With the power network expansion and the grid-connection of intermittent renewable energy, more and more non-convex optimization problems emerge in power system, which cannot be effectively solved by the derivative ba...
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ISBN:
(纸本)9781728116754
With the power network expansion and the grid-connection of intermittent renewable energy, more and more non-convex optimization problems emerge in power system, which cannot be effectively solved by the derivative based traditional methods. As a powerful branch of optimization techniques, artificial intelligence method can well address these non-convex problems, providing a promising solution for power system engineering. In this paper, five typical artificial intelligence algorithms including the Particle Swarm Optimization algorithm, Tabu Search, Genetic Algorithm, Simulated Annealing and artificial Neural Network are investigated for their advantages and disadvantages, and the main application in power system for these artificial intelligence algorithms arc also discussed.
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