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基于Niagara的分布式智慧光伏充电站

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在"双碳"目标及电动车迅猛发展的背景下,为解决电动车充电问题,同时进行能源优化,以太阳能作为基础能源,结合物联网和人工智能等新兴技术,构建分布式智慧光伏充电站.基于Tridium公司的Niagara框架搭建分布式智慧光伏充电站物联网平台,结合云服务和人工智能技术实现分布式集成管理,平台可实时采集各种数据,并根据采集的数据、光伏发电预测数据及用户用电预测数据进行系统层面的优化调度,实现蓄电池的充放电智能动态管理.分布式智慧光伏充电站可显著提高系统的管理水平,充分利用光伏发电,降低运行费用,实现系统整体节能降耗.
Distributed Smart Photovoltaic Charging Station Based on Niagara
In the context of the"dual carbon"goal and the rapid development of electric vehicles,in order to solve the charging problem of electric vehicles,energy optimization is carried out at the same time,with solar energy as the basic energy,combined with emerging technologies such as the Internet of Things and artificial intelligence,to build distributed smart photovoltaic charging stations.Based on Tridium's Niagara framework,the distributed smart photo-voltaic charging station iot platform is built,which combines cloud services and artificial intelligence technology to achieve distributed integrated management.The platform can collect various data in real time,and optimize scheduling at the system level according to the collected data,photovoltaic power generation prediction data and user power con-sumption prediction data.Realize intelligent dynamic management of battery charging and discharging.Distributed smart photovoltaic charging stations can significantly improve the management level of the system,make full use of photovoltaic power generation,reduce operating costs,and achieve overall energy saving and consumption reduction of the system.

NiagaraInternet of Thingsdistributed photovoltaicsmart charging stationoptimal scheduling

高祥宇、李慧、孙银兵

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山东建筑大学 热能工程学院,济南 250101

Niagara 物联网 分布式光伏 智慧充电站 优化调度

2024

自动化与仪表
天津市工业自动化仪表研究所 天津市自动化学会

自动化与仪表

CSTPCD
影响因子:0.548
ISSN:1001-9944
年,卷(期):2024.39(5)
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