偏导加速果蝇优化算法的电厂机组负荷分配  

Power plant units load economic dispatch based on partial derivative acceleration fruit fly optimization algorithm

作　　者：荣淼[1] 王庆[1] 陈杨[1] 夏长红[1] 张勇[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221006

出　　处：《中国科技论文》2015年第23期2800-2804,共5页China Sciencepaper

基　　金：中国博士后科学基金特别资助项目(2014T70557)

摘　　要：针对果蝇优化算法等进化算法在电厂机组负荷分配问题中准确性和收敛速度的缺陷,将果蝇优化算法作为一次优化算法,所得结果作为偏导下降算法的输入,即偏导下降算法作为二次优化算法,提出一种偏导加速果蝇优化算法。电厂机组负荷分配实例分析表明:偏导加速果蝇优化算法保持了果蝇优化算法原理简明、计算简洁的特点,且在求解准确性、收敛快速性、稳定性上均优于果蝇优化算法、PSO算法和GA算法。As for defects in accuracy and convergence rate of the fruit fly optimization algorithm in power plant units load economic dispatch, a partial derivative acceleration fruit fly optimization algorithm was proposed, with the fruit fly optimization algorithm as first optimization algorithm and partial derivative descent algorithm as second optimization algorithrru The case analysis of power plant units load economic dispatch shows that partial derivative acceleration fruit fly optimization algorithm, maintaining the simplicity in principle and calculation, has great advantage of accuracy, convergence property and robustness compared with fruit fly optimization algorithm, PSO algorithm, GA algorithm.

关 键 词：偏导加速果蝇优化算法 电厂机组负荷分配 二次优化 随机性算法 确定性算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM62[自动化与计算机技术—控制科学与工程]