摘要
目前电网系统正在发展成为容量巨大、运行复杂、高能耗的大规模供电系统,电网中存在线损率较高的问题,造成了电网电能能效偏低。针对这一问题,构建用于电能能效分析管理的物联网系统,设计遗传算法对采集到的系统电能能效信息进行优化。首先,分别建立电能能效管理分析系统的感知层、网络层和应用层,组建物联网架构,其次分析影响电能能效的关键因素及其与物联网之间的关系,再对通过物联网采集到的电网能效数据信息,设计遗传算法进行优化。最终,应用MATLAB仿真软件,对基于物联网的电能能效分析管理系统进行仿真分析。仿真结果表明,电网系统的线损率降低了48%,该技术可较好提高电能系统的电能使用效率。
At present, the power system is being developed into a large capacity, complex operation, high energy consumption of large-scale power supply system, the power grid in the high rate of storage problems, resulting in power grid energy efficiency is low. Aiming at this problem, the Internet of things, which is used to manage the energy efficiency analysis and management, is constructed. First of all, the establishment of power energy management analysis system of perception layer, network layer and application layer, to form a networking architecture, followed by analysis of affecting electric energy energy efficiency of key factors and the relationship between things and, through the acquisition of the Internet of things to the power grid efficiency data information, design genetic algorithm optimization. Eventually, the application of MATLAB simulation software based on the networking of electric energy efficiency analysis management system analysis and simulation, the simulation results show that the power system line loss rate reduced by 48%. The technology can better improve the power system of electric energy efficiency in the use.
出处
《电子设计工程》
2017年第6期71-74,共4页
Electronic Design Engineering
关键词
物联网
电网能效
线损率
遗传算法
MATLAB仿真
internet of things
energy efficiency of power grid
line loss rate
genetic algorithm
MATLAB simulation