电力系统保护与控制Issue(9)：82-88,7.
改进教与学方法在电力系统无功优化中的应用研究
Research on modified teaching-learning algorithm for reactive power optimization
刘前进 1许慧铭 1施超 1韦胜旋2
作者信息
- 1. 华南理工大学电力学院，广东 广州 510640
- 2. 广西电力工业勘察设计研究院，广西 南宁 530023
- 折叠
摘要
Abstract
Taking the minimum total year energy loss as an objective function, a modified teaching-learning-based optimization (MTLBO) algorithm is proposed for reactive optimization of power systems. The proposed teaching-learning optimization algorithm is a new population-based optimization method which includes two phases: teacher phase and learner phase. To overcome local convergence, a new phase called “modified phase” based on a self-adaptive wavelet mutation strategy is added to the algorithm to improve the performance. The proposed method is applied to IEEE-30 bus test system and the simulation results are compared with other algorithms which verify the superiority of the proposed method. It shows that this method is an effective method for large-scale power system application.关键词
教与学优化算法/无功优化规划/能量损失/多负荷水平/自适应小波变异Key words
teaching-learning-based optimization algorithm/optimal reactive power planning/energy loss/multi-load levels/self-adaptive wavelet mutation分类
信息技术与安全科学引用本文复制引用
刘前进,许慧铭,施超,韦胜旋..改进教与学方法在电力系统无功优化中的应用研究[J].电力系统保护与控制,2015,(9):82-88,7.
