基于改进教与学算法的含电能路由器的电力系统无功优化  

Reactive Power Optimization of Power System with Electric Energy Router Applying Modified Teaching-Learning Algorithm

作　　者：从帆平 周建萍 茅大钧 齐国庆 黄祖繁 CONG Fanping;ZHOU Jianping;MAO Dajun;QI Guoqing;HUANG Zufan(College of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区：[1]上海电力大学自动化工程学院,上海市200090

出　　处：《电力建设》2022年第6期110-118,共9页Electric Power Construction

基　　金：国家自然科学基金资助项目(61275038);上海市“科技创新行动计划”地方院校能力建设专项(19020500700)。

摘　　要：针对传统智能算法在求解计及电能路由器的电力系统无功优化模型时存在的收敛性和多样性问题,提出一种基于轮盘赌选择和自适应柯西变异策略的改进教与学算法,并应用于含电能路由器的电力系统无功优化。该算法在学习阶段引入轮盘赌选择法,提高群体的学习效率,在教学完成后引入自适应柯西变异策略,增强班级种群的多样性,避免迭代过程陷入局部最优解。然后,建立以有功网损和电压偏离度最小为目标函数的电力系统无功优化模型,并以修改后的IEEE RTS-79标准测试系统为算例进行仿真分析,结果表明改进后的算法兼顾了收敛性和多样性,相比于传统算法具有更好的优化效果。In this paper,an improved teaching and learning algorithm based on roulette wheel selection and adaptive Corsi variation strategy is proposed to solve the convergence and diversity problems of the traditional intelligent algorithm and it is applied to the reactive power optimization of power system with electric energy router(EER).The algorithm introduces roulette selection method in the learning phase to improve the learning efficiency of the group,and adopts adaptive Cauchy mutation strategy after the teaching to enhance the diversity of the class population,which avoids falling into local optimal solutions in the iterative process.Then,a reactive power optimization model is established with the objective function of minimizing active network loss and voltage deviation.The modified IEEE RTS-79 standard test system is used as an example for simulation analysis.The results show that the improved algorithm has both convergence and diversity,which has better optimization effect than the traditional algorithm.

关 键 词：电能路由器(EER) 教与学优化算法 轮盘赌选择 自适应柯西变异 无功优化 

分 类 号：TM711[电气工程—电力系统及自动化]