New Intelligent Control Strategy Hybrid Grey–RCMAC Algorithm for Ocean Wave Power Generation Systems

Abstract

In this article, the characteristics of the wave energy converter are considered and a novel dynamic controller (NDC) for a permanent magnet synchronous generator (PMSG) is proposed for Wells turbine applications. The proposed NDC includes a recursive cerebellum model articulation controller (RCMAC) with a grey predictor and innovative particle swarm optimization (IPSO). IPSO is developed to adjust the learning speed and improve learning capability. Based on the supervised learning method, online adjustment law of RCMAC parameters is derived to ensure the system’s stability. The NDC scheme is designed to maintain a supply–demand balance between intermittent power generation and grid power supply. The proposed NDC exhibits an improved power regulation and dynamic performance of the wave energy system under various operation conditions. Furthermore, better results are obtained when the RCMAC is used with the grey predictive model method.

The Validation and Implementation of the Second-Order Adaptive Fuzzy Logic Controller of a Double-Fed Induction Generator in an Oscillating Water Column

“…The DFIG's rotor is connected to the network grid through a rotor-side converter (RSC) and a grid-side converter (GSC). While these converters can improve the overall characteristics of the system [7], they are more expensive than DFIGs due to their use of rare earth materials in their production [8]. The control of a RSC is used to adjust the DFIG in OWCPP at maximum power point tracking by adjusting the flow coefficient [9,10].…”

A Novel Framework for Forecasting, Evaluation and Early-Warning for the Influence of PM10 on Public Health

“…Specifically, the first-order one-variable grey model, called GM (1,1), is an effective forecasting model that can address forecasting issues with limited data and has been widely employed in many forecasting fields [13]. It has three benefits, namely it is very practical, has convenient operation, and high forecasting accuracy [14]. As a result, the GM (1, 1) model was selected as the basic forecasting engine to solve the forecasting issues with limited data in this paper.…”

Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System

“…The outcome of a VFC configuration that is connected to the grid manages a low nominal power (near 30%) [9]. Even though full converters (FC) can increase the performance of the overall system [10], the costs of these devices are higher than a DFIG due to the usage of rare earth materials for its production [11].…”