Microgrid dynamic responses enhancement using artificial neural network‐genetic algorithm for photovoltaic system and fuzzy controller for high wind speeds

Abstract

The microgrid (MG) is described as an electrical network of small modular distributed generation, energy storage devices and controllable loads. In order to maximize the output of solar arrays, maximum power point tracking (MPPT) technique is used by artificial neural network (ANN), and also, control of turbine output power in high wind speeds is proposed using pitch angle control technic by fuzzy logic. To track the maximum power point (MPP) in the photovoltaic (PV), the proposed ANN is trained by the genetic algorithm (GA). In other word, the data are optimized by GA, and then these optimum values are used in ANN. The simulation results show that the ANN‐GA in comparison with the conventional algorithms with high accuracy can track the peak power point under different insolation conditions and meet the load demand with less fluctuation around the MPP; also it can increase convergence speed to achieve MPP. Moreover, pitch angle controller based on fuzzy logic with wind speed and active power as inputs that have faster responses which leads to have flatter power curves enhances the dynamic responses of wind turbine. The models are developed and applied in Matlab/Simulink. Copyright © 2015 John Wiley & Sons, Ltd.

Adaptive fuzzy/proportion integration differentiation (PID) compound control for unbalance torque disturbance rejection of aerial inertially stabilized platform

“…25 A set of decision rules relating the inputs to outputs are compiled and stored in the memory in the form of a ''decision table.'' The rules are of the following form 21,26,27 : If (error is NB) and (errorc is NS), then (K p is PB), (K i is PB), and (K d is PB). The decision table is shown in Tables 2 to 4.…”

Design and analysis of multi‐stage PID controller for frequency control in an islanded micro‐grid using a novel hybrid whale optimization‐pattern search algorithm

“…In Vachirasricirikul and Ngamroo, the proportional‐integral‐derivative was used to improve the frequency control execution and strength within the sight of instabilities, and the PSO‐based mixed H 2 /H ∞ was proposed to tune the parameters of the controller. The application of fuzzy based PID controller for the stability operation of MG system along with some established control techniques was described in …”

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“…The application of fuzzy based PID controller for the stability operation of MG system along with some established control techniques was described in. 13 In the conventional control techniques, the effective exchange off between NPs and RPs states is very difficult to accomplish, and simultaneously the exchange of off states for a large range of system disturbances becomes very hard. However, the robust control techniques fulfill this objective effectively.…”

Energy management system based on fuzzy fractional order PID controller for transient stability improvement in microgrids with energy storage

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