电力系统保护与控制2012，Vol.40Issue(10)：77-83,7.
改进的混合蛙跳算法性能分析及其在电力系统经济调度中的应用
Performance analysis of improved SFLA and the application in economic dispatch of power system
摘要
Abstract
Aiming at the problems of the shuffled frog leaping algorithm (SFLA), such as slow convergence speed and low optimization precision, the improved SFLA is proposed. Through introducing the adaptive factor, we ensure the algorithm balance between exploration and development, maintain the population diversity, improve the capacity of the individual learning from the best individual of local optimization or the global optimum, and speed up the convergence rate. Through testing four benchmark functions and optimizing the problems of economic dispatch in the power system, and comparing with basic SFLA and the improved SFLA in related references, we find that the improved SFLA achieves more reasonable results and has better optimization performance.This work is supported by National Natural Science Foundation of China (No. 61063028) and Natural Science Foundation of Gansu (No. 096RJZA004).关键词
混合蛙跳算法/自适应因子/电力系统/经济调度/优化性能Key words
shuffled frog leaping algorithm/ adaptive factor/ power system/ economic dispatch/ optimization performance分类
信息技术与安全科学引用本文复制引用
代永强,王联国,施秋红,宋磊..改进的混合蛙跳算法性能分析及其在电力系统经济调度中的应用[J].电力系统保护与控制,2012,40(10):77-83,7.基金项目
国家自然科学基金(61063028) （61063028）
甘肃省自然科学基金(096RJZA004) （096RJZA004）
甘肃省科技支撑计划(1011NKCA058) （1011NKCA058）
