Grey Predictor reference model for assisting particle swarm optimization for wind turbine control

Abstract

a b s t r a c tThis paper proposes an approach of forming the average performance by Grey Modeling, and use an average performance as reference model for performing evolutionary computation with error type control performance index. The idea of the approach is to construct the reference model based on the performance of unknown systems when users apply evolutionary computation to fine-tune the control systems with error type performance index. We apply this approach to particle swarm optimization for searching the optimal gains of baseline PI controller of wind turbines operating at the certain set point in Region 3. In the numerical simulation part, the corresponding results demonstrate the effectiveness of Grey Modeling.

A novel nonlinear observer‐based LQ control system design for wind energy conversion systems with single measurement

“…Suppose that we need to track the optimal power for WCSs . In this study, we assume that Only ω is measurable; i d and i q (hence T e ) are unknown state variables. Wind speed v and aerodynamic torque T a are unknown and arbitrary. Because, the information of i d , T e , and T a are not available, the recent methods are failed to design a controller for tracking the optimal power. In addition, because the aerodynamic torque T a is arbitrary, therefore, it maybe does not fulfill the constraints, which make the proposed methods in these studies unable to apply for this case.…”

“…It is due to their endlessness and cleanness. In WECSs, wind speed is key information to be known in real time . Unfortunately, it is not easy to measure it with enough precision for control systems.…”

“…Several methods have been developed to obtain the information of wind speed in past few years. For example, the measurements with anemometers increase the cost as well as reduce the reliability of the overall systems . Another approach is to use the Kalman filters and gray models and genetic algorithms .…”

The Application of Grey-TOPSIS Method on Teaching Quality Evaluation of the Higher Education

“…The Grey theory was proposed by Professor Deng Julong [7][8]. Grey correlation method was one of the important methods in the Grey theory [9][10].…”

The Particle Swarm Optimization Algorithm with Adaptive Chaos Perturbation

“…It has good adaptation and gains wide concern. It is applied in many fields such as decision feedback equalizer [3,4], parameter identification [5,6], power dispatch [7] and mechanical control [8,9], etc.…”