基于大数据的智能电网信息调度算法分析与改进  

Analysis and Improvement of Smart Grid Information Scheduling Algorithm Based on Big Data

作　　者：郑善奇 孟令愚[2] 刘为 李峰 王浩 ZHENG Shanqi;MENG Lingyu;LIU Wei;LI Feng;WANG Hao(Information Communication Branch,Liaoning Electric Power Limited Company,Nation Net,Shenyang 110000;National Power Grid Corp Northeast Division,Shenyang 110000)

机构地区：[1]国网辽宁省电力有限公司信息通信分公司,沈阳110000 [2]国家电网公司东北分部,沈阳110000

出　　处：《计算机与数字工程》2018年第12期2419-2424,共6页Computer & Digital Engineering

基　　金：国家自然科学基金项目(编号:51307051)资助

摘　　要：在大数据背景下,智能电网运行中会产生海量数据,对信息调度工作提出更高挑战。为了提升系统运行效率,需要不断尝试和改进调度算法。在完成IGA算法设计后,搭建Hadoop平台,对先进先出调度算法、IGA算法等4类算法进行对比分析和仿真。结果表明:IGA算法在高效性、稳定性和时效性等方面更加理想;相关研究可以有效压缩智能电网客户等待时间,对提升运行效率、改善用户满意度有积极效果。In the context of big data,the smart grid will generate massive amounts of data in operation,and pose a higher chal?lenge to information scheduling.In order to improve the efficiency of the system,it is necessary to try and improve the scheduling al?gorithm.In the IGA algorithm to complete the design,build Hadoop platform,the FIFO scheduling algorithm,IGA algorithm and other 4 kinds of algorithms are compared and simulated.The results show that IGA algorithm is more ideal for high efficiency,stabil?ity and timeliness and so on.Related research can effectively compress the smart grid customer waiting time,to improve the opera?tion efficiency and improve customer satisfaction has a positive effect.

关 键 词：大数据 智能电网 调度算法 改进调度遗传算法 IGA 

分 类 号：V242.3[航空宇航科学与技术—飞行器设计]