摘要
针对分布式能源综合利用问题,结合当前的物联网技术和智能算法,构建分布式能源与环境耦合集成模型。借助物联网实现电力设备数据参数特性的采集,同时在构建分布式能源架构的基础上,对分布式能源设备进行数学建模,并提出年度总费用、总维修费用和CO2、NO2排放最低作为目标函数,通过NSGA-Ⅱ算法和路径规划算法进行求解。最后以北京某小区作为实际案例,对该区域的分布式能源架构进行优化,得到不同的优化方案。
Aiming at the problem of comprehensive utilization of distributed energy,combined with the current Internet of things technology and intelligent algorithm,a coupling integration model of distributed energy and environment is constructed.With the help of the Internet of things,the data parameter characteristics of power equipment are collected.At the same time,based on the construction of distributed energy architecture,the mathematical model of distributed energy equipment is built,and the annual total cost,total maintenance cost and the lowest CO2 and NO2 emissions are proposed as the objective functions,which are solved by NSGA-II algorithm and path planning algorithm.Finally,taking a residential area in Beijing as an example,the distributed energy architecture of the area is optimized,and different optimization schemes are obtained.
作者
周逞
王霜霜
ZHOU Cheng;WANG Shuangshuang(Anhui Jiyuan Software Co.,Ltd.,Hefei 230088,China;Anhui Communication Industry Service Co.,Ltd.,Hefei 230001,China)
出处
《自动化与仪器仪表》
2020年第8期49-52,56,共5页
Automation & Instrumentation
基金
国家自然科学基金面上项目“基于物联网技术的呼吸、脉搏异变及跌落的实时监测与报警的关键技术研究”(No.61171190)。
关键词
分布式能源
环境特性
排放
目标函数
NSGA-Ⅱ算法
distributed energy
environmental characteristics
emissions
objective function
NSGA-II algorithm
