wind driven dragonfly algorithmDragonfly algorithm (DA) is a new swarm intelligence optimization algorithm based on the static and dynamic swarm behavior of dragonflies. The algorithm has the characteristics of simple structure, strong search ability, easy implementation, and strong robustness. However,...
Wind driven optimization (WDO) is a meta-heuristic algorithm based on swarm intelligence. The original selection method makes it easy to converge prematurely and trap in local optima. Maintaining population diversity can solve this problem well. Therefore, we introduce a new fitness-distance balance-...
Show abstract Wind Driven Optimization Algorithm Application to Load Frequency Control in Interconnected Power Systems Considering GRC and GDB Nonlinearities 2018, Electric Power Components and Systems View all citing articles on ScopusView full text ...
Recent optimization algorithm; BO was used to achieve the paper objective. To confirm the accuracy of results, the BO results were compared with two other optimization algorithms; PSO and DTA. Three optimization algorithms provided very close results, which proved that these solutions of rotor ...
[8], using an updated dynamic model and a new optimization algorithm, which significantly affected the derived optimal solutions. Myhr and Nygaard [9] used time-domain simulations and two extreme load cases to optimize the structural design of a tension leg buoy and found that the wave forces ...
(IAE) to implement the algorithm and calculate the parameters of the proposed controller because of its simplicity and high accuracy. On the other hand, IAE is commonly used as a fitness function in optimization problems, including those involving control system design and tuning. When using the ...
Wind speed prediction system based on data pre-processing strategy and multi-objective dragonfly optimization algorithm 来自 Semantic Scholar 喜欢 0 阅读量: 59 作者:L Zhang,J Wang,X Niu 摘要: Short-term wind speed prediction is an indispensable part of the operation and control of wind energy ...
This work designs a powerful new nonlinear control technique using synergetic control (SC), proportional-integral (PI) controller, and genetic algorithm (GA) for multi-rotor wind energy (MRWE) conversion systems, whereby an asynchronous generator (AG) is used to achieve optimal energy extraction. ...
With the swift progress of bionic algorithm-driven parameter optimization techniques, many combinatorial models have emerged for wind power prediction. This is attributed to the fact that machine learning and deep learning models involve many parameters necessitating configuration. Nevertheless, the hyperpara...
Genetic algorithm We implemented an optimisation framework using the multi-objective genetic algorithm optimiser from the MATLAB global optimization toolbox60 to obtain a set of optimal blade pitching kinematics. The multi-objective optimisation problem tackled here can be defined mathematically as follows...