基于改进的教与学算法的线性自抗扰在负荷频率控制中的应用

Application of Linear Active Disturbance Rejection Based on Improved Teaching-Learning-Based Optimization Algorithmin Load Frequency Control

以单区域电力系统为研究对象,以负荷频率的稳定控制为目的,本文在线性自抗扰控制技术的基础上,提出了一种改进的教与学优化算法用于优化线性自抗扰控制器参数及补偿增益,改进的教与学算法对教学因子和学习阶段进行修正,并引入权重因子,提高了算法的全局搜索能力以及后期局部搜索能力,提高了算法的精度和收敛速度。仿真结果表明改进的教与学算法在优化线性自抗扰控制器参数的性能上要优于传统教与学算法、改进的差分进化算法及经验法的参数整定,即保证系统具有良好的动态性能下仍具有良好的鲁棒性。

Based on the single-zone power system, aiming at the stability control of the load frequency, based on linear active disturbance-rejection control（LADRC） technology, an improved teaching and learning algorithm is proposed to optimize parame- ters and compensation gain of LADRC. The basic idea is that modifying the teaching factors and learning stages ,as well as intro- ducing the weight factors,in order to improve the algorithm＇ s global search capabilities as well as post-local search capabilities to improve the accuracy of the algorithm and the convergence rate.The simulation results show that the improved teaching and learning algorithm is superior to the traditional teaching and learning algorithm ,the improved differential evolution algorithm and the parameter setting of the empirical method in improving the performance of LADRC,which ensures that the system has good dynamic performance and good robustness.