The awareness of power consumption is considered to be an important step of driving energy- saving technologies development. With the ‘Smart Grid’ technologies, Sweden has deployed Advanced Metering Infrastructure (AMI) nationwide. How to present and operate the data be collected by AMI devices in an effective and friendly way has become a problem worth to research on. This thesis project aims to provide an energy consumption monitoring system, which integrate power consumption information from AMI, and geographic information from coordinates, for both customers and power companies, practical for the latter one. Based on that, active web map services of Geographic Information Systems (GIS) in Swedish market are also been analyzed in this thesis report, in order to investigate the features which may be applied in this system. The energy consumption monitoring system presented in this project is developed on the GIS of Google Maps, web-browser based. With the open Google Maps API for Javascript and WAMP environment support, a working system is given locally. In this project, at a designated Swedish area, Smedjebacken, there are 50 end-users with AMI data periodically recorded at the interval level of one hour for a whole year, and 3 substations connecting part of the end-users, all of them have the coordinates to position. AMI data is used to simulate a real-time scenario to test the monitoring function. Functions of this system are separated into two aspects, customers and power companies. Customers can check their power consumption in many different ways, including latest hour’s consumption, any past single day’s consumption, generate whole year’s consumption column chart, comparing with the average consumption level with a certain range of neighbors. Power companies have global view and access authorities of all customers and substations. In addition, an alarm will be triggered if any of the substation’s power loss is over 5%. As a result of analysis, the advantage lay with Google Map on cost of developing, open API and documentations. In the end, a working monitoring system is given under the simulated real-time power consumption scenario.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-94140 |
Date | January 2012 |
Creators | Yang, Guoliang |
Publisher | KTH, Skolan för informations- och kommunikationsteknik (ICT) |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Relation | Trita-ICT-EX ; 2012:26 |
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