Developing a Smart Grid Simulation model from an end-users perspective

Schoenmaker, R. (2014) Developing a Smart Grid Simulation model from an end-users perspective. Master's Thesis / Essay, Computing Science.

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Abstract

Many of todays innovations in technology concern sustainability. The energy sector is one of the major sectors in which the biggest steps towards a sustainable future can be taken. One of these steps is the smart grid. The smart grid, the idea of a smart distributed energy system with variable energy tariffs, changes the way consumers manage their energy needs. These variable energy tariffs are based on the local availability of energy and help maintain the balance inside the electrical grid. The smart grid also accommodates new and efficient ways for the integration of private renewable energy sources through smart meters, enabling the production and sharing of each others own energy. One step further is the connection of every electrical and electronic appliance inside a building through embedded systems. The so-called smart environment gives consumers insight into their energy use and automatic control over the appliances. Based on that information, combined with the dynamic pricing and the integration of renewable energy sources, the use of electronic devices can be managed more efficient. A lot of research is done in the field of smart environments and managing the efficiency of energy usage. The smart grid provides additional means to reduce the operating costs of a smart environment. However, with the exception for a few small pilot projects, the smart grid is not realised yet and only exists on paper. In this thesis we examine the possibilities of developing a simulation model of the smart grid. This model provides the end user realistic data that, for instance, can be used to test cost efficient schemes within a smart environment. The simulated data from our model is compared with real data to determine its accuracy.

Item Type:	Thesis (Master's Thesis / Essay)
Degree programme:	Computing Science
Thesis type:	Master's Thesis / Essay
Language:	English
Date Deposited:	15 Feb 2018 07:56
Last Modified:	15 Feb 2018 07:56
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/11579

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