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.
杨建宁, 孙玉坤, 成立, 孙运全 . 采用免疫搜索的电网电压非线性模型预测控制[J]. 江苏大学学报（自然科学版）, 2008, 29(1): 56-60.
Yang Jianning, Sun Yukun, Cheng Li, Sun Yunquan- . Nonlinear model predictive scroll control with artificial immune algorithm for voltage security[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2008, 29(1): 56-60.
2008, Vol. 29 
