摘要
智能电网(SG)是一种现代电网,面临的主要问题是如何处理电表、故障指示器等电网智能终端设备发出的海量数据。利用云雾计算的分层结构,提出了基于云雾计算的SGs数据资源管理模型,为SG数据管理模型提供不同需求的数据服务。同时为了保证云计算的性能以及SG用户访问请求与数据服务商之间平衡,提出了基于ACO和ABC的混合人工蜂群优化算法(HABACO),与人工蜂群(ABC)、蚁群优化(ACO)和粒子群优化(PSO)等不同的算法相比,仿真结果验证HABACO算法优于其他算法。
Smart power grid(SG) is a kind of modern power grid.The main problem is how to deal with the massive data sent by power grid intelligent terminal devices such as electricity meters and fault indicators.Based on the layered structure of cloud and fog computing,SGs data resource management model based on cloud and fog computing is proposed in this paper to provide different data services for the SG data management model.Meanwhile,to ensure the performance of cloud computing and balance between SG user access requests and data service providers,a hybrid artificial colony optimization algorithm(HABACO) based on ACO and ABC is proposed.Compared with artificial colony optimization(ABC),ant colony optimization(ACO),particle swarm optimization(PSO),and other different algorithms,Simulation results show that the HABACO algorithm is superior to other algorithms.
作者
常雨竹
张晓亮
李伟良
李旭阳
张鑫一
贾涛
魏芃
杨超
CHAGN Yuzhu;ZHANG Xiaoliang;LI Weiliang;LI Xuyang;ZHANG Xinyi;JIA Tao;WEI Peng;YANG Chao(State Grid Information&Telecommunication Co.,Ltd.,Beijing 100761,China;School of e-commerceand logistics,Beijing Technology and Business University,Beijing 100080,China)
出处
《自动化与仪器仪表》
2025年第3期349-354,共6页
Automation & Instrumentation
基金
国家电网有限公司信息通信分公司资助预研项目(CN2021XT-01)。
