|
|
Nonlinear model predictive scroll control with artificial immune algorithm for voltage security |
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China)
|
|
|
Abstract A novel immune search algorithm is proposed for a nonlinear model predictive scroll control scheme on the nonlinear differential-algebraic-inequality power system. A global control target function is integrated with gradational targeting decomposed global horizion control targets into sub-objectives optimized in receding prediction intervals via Pareto-type weighting functions according to controlling performance in each period of time. Using a multiple gene chain structure of antibodies to represent the solution candidates of the complicated optimization problem and employing pattern recognition techniques to extract gene patterns of better antibodies, similar antigen patterns are identified via learning and memorizing to create a better initial guess of solutions in order to accelerate the convergence of the optima searching procedure. The results indicate that the method proposed is optimal in search ability and real time effect.
|
|
|
|
|
|
|
|