{"title":"智能太阳能路灯的高效控制算法","authors":"Abhilasha Jain, C. Nagarajan","doi":"10.1109/NGMAST.2015.40","DOIUrl":null,"url":null,"abstract":"This paper describes a model of a smart street light that can work autonomously, save energy and can be seamlessly integrated with the existing grid. The street light incorporates a Light Emitting Diode array and an ARM Cortex M0 based microcontroller, both of which are powered by a combination of a solar panel and battery pack. The microcontroller executes an astronomical time switch based estimation algorithm to determine the sunrise and sunset time daily. This is done using the Real Time Clock running on the controller along with the hard coded coordinates and time zone of any given location. Upon evaluation of the sun times, the controller can routinely regulate the lamp at sunrise and sunset. The algorithm operates with an accuracy of up to 10 seconds in its estimation of sun times. The controller also monitors the voltage from the battery at sunset and switches to mains to power up the LED array in case power is not enough. A coin cell is also connected to the controller to ensure RTC keeps on running in the scenario that battery is completely discharged and there is no power from the mains. The results conclude that the use of such a technology would provide high energy efficiency, increases the operating life and also proves to be cost effective as compared to prevalent lamp technologies. Analysis is performed using HOMER, a microgrid simulation software. The boundary conditions are set for Indian scenarios, however the result applies to many geographical locations.","PeriodicalId":217588,"journal":{"name":"2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Efficient Control Algorithm for a Smart Solar Street Light\",\"authors\":\"Abhilasha Jain, C. Nagarajan\",\"doi\":\"10.1109/NGMAST.2015.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a model of a smart street light that can work autonomously, save energy and can be seamlessly integrated with the existing grid. The street light incorporates a Light Emitting Diode array and an ARM Cortex M0 based microcontroller, both of which are powered by a combination of a solar panel and battery pack. The microcontroller executes an astronomical time switch based estimation algorithm to determine the sunrise and sunset time daily. This is done using the Real Time Clock running on the controller along with the hard coded coordinates and time zone of any given location. Upon evaluation of the sun times, the controller can routinely regulate the lamp at sunrise and sunset. The algorithm operates with an accuracy of up to 10 seconds in its estimation of sun times. The controller also monitors the voltage from the battery at sunset and switches to mains to power up the LED array in case power is not enough. A coin cell is also connected to the controller to ensure RTC keeps on running in the scenario that battery is completely discharged and there is no power from the mains. The results conclude that the use of such a technology would provide high energy efficiency, increases the operating life and also proves to be cost effective as compared to prevalent lamp technologies. Analysis is performed using HOMER, a microgrid simulation software. The boundary conditions are set for Indian scenarios, however the result applies to many geographical locations.\",\"PeriodicalId\":217588,\"journal\":{\"name\":\"2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NGMAST.2015.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGMAST.2015.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
摘要
本文描述了一种智能路灯的模型,它可以自主工作,节约能源,并可以与现有电网无缝集成。路灯采用了发光二极管阵列和基于ARM Cortex M0的微控制器,两者都由太阳能电池板和电池组组合供电。微控制器执行基于天文时间开关的估计算法来确定每天的日出和日落时间。这是使用控制器上运行的Real Time Clock以及任何给定位置的硬编码坐标和时区来完成的。根据太阳时间的评估,控制器可以在日出和日落时常规调节灯。该算法对太阳时间的估计精度可达10秒。控制器还监测日落时电池的电压,并在电源不足的情况下切换到电源上为LED阵列供电。一个硬币电池也连接到控制器,以确保RTC在电池完全放电和没有电源的情况下继续运行。结果表明,使用这种技术将提供高能效,增加使用寿命,并且与流行的灯技术相比,也被证明具有成本效益。使用微电网仿真软件HOMER进行分析。边界条件是为印度设定的,但结果适用于许多地理位置。
Efficient Control Algorithm for a Smart Solar Street Light
This paper describes a model of a smart street light that can work autonomously, save energy and can be seamlessly integrated with the existing grid. The street light incorporates a Light Emitting Diode array and an ARM Cortex M0 based microcontroller, both of which are powered by a combination of a solar panel and battery pack. The microcontroller executes an astronomical time switch based estimation algorithm to determine the sunrise and sunset time daily. This is done using the Real Time Clock running on the controller along with the hard coded coordinates and time zone of any given location. Upon evaluation of the sun times, the controller can routinely regulate the lamp at sunrise and sunset. The algorithm operates with an accuracy of up to 10 seconds in its estimation of sun times. The controller also monitors the voltage from the battery at sunset and switches to mains to power up the LED array in case power is not enough. A coin cell is also connected to the controller to ensure RTC keeps on running in the scenario that battery is completely discharged and there is no power from the mains. The results conclude that the use of such a technology would provide high energy efficiency, increases the operating life and also proves to be cost effective as compared to prevalent lamp technologies. Analysis is performed using HOMER, a microgrid simulation software. The boundary conditions are set for Indian scenarios, however the result applies to many geographical locations.