Title :
Smart grid-oriented graphical user interface design and data processing algorithm proposal based on LabVIEW
Author :
Shuping Dang ; Kakimzhanov, Rinat ; Min Zhang ; Gholamzadeh, Amin
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
Abstract :
Nowadays, the electrical power networks around the world are being faced with new challenges and problems and most of them were designed and built about fifty years ago. They thus cannot meet the requirements of the rapid development of modern society, e.g. the increase of electrical power consumption, strict specifications of power quality and stability. Meanwhile, an increasing number of countries are embracing the renewable energy, e.g. solar power, wind power and tidal power etc. All these distribution generators in the electrical power network will result in a new mathematical model of power network, which will be different from traditional transmission network. Thus we need something new to tackle these issues, which is a smart grid solution. In addition, in the smart grid, the terminal use monitor is an essential part due to its administration, control and visualization functionalities. In this paper, we plan to design a smart grid electricity monitor to assist the observation of the consumer use whilst also detecting and maintaining the electrical network. This smart electricity monitor can receive data from substations via a communication network. Then after processing the information a LabVIEW program can analyse the data and output this graphically for professional users.
Keywords :
distribution networks; electric power generation; graphical user interfaces; power consumption; power supply quality; power system measurement; power system reliability; renewable energy sources; smart power grids; substations; transmission networks; LabVIEW; administration functionalities; communication network; control functionalities; data processing algorithm; distribution generators; electrical power consumption; electrical power networks; modern society; power quality; power stability; renewable energy; smart grid electricity monitor; smart grid-oriented graphical user interface design; substations; traditional transmission network; visualization functionalities; Algorithm design and analysis; Databases; Graphical user interfaces; Mathematical model; Monitoring; Smart grids; Substations; Data Processing; LabVIEW; Smart Grid; User Interface;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2014 14th International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-1-4799-4661-7
DOI :
10.1109/EEEIC.2014.6835887