Incorporating user utility in a smart microgrid with distributed generation and elastic demand

Brooks, Benjamin, Jiang, Jing and Sun, Hongjian (2017) Incorporating user utility in a smart microgrid with distributed generation and elastic demand. In: 2017 IEEE International Conference on Communications Workshops, 21st - 25th May 2017, Paris, France.

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Official URL: http://dx.doi.org/10.1109/ICCW.2017.7962808

Abstract

Demand Side Management (DSM) will play a large role in creating a pathway to a low carbon future. Microgrids are an ideal test bed for DSM within the Smart Grid (SG) framework, allowing for increased integration of distributed generation (DG), here focused on distributed Renewable Energy Sources (RESs). Existing work uses conservative estimates to model the stochastic nature of RESs, resulting in inaccuracies in simulation results. Large uncertainty in user specific participation in DSM programs exists. This paper develops a flexible energy load function, effectively incorporating different user's behaviour patterns into the DSM framework. Uncertainty in connecting small-scale wind generation into the smart microgrid is reduced by using an expected cost function to accurately map predicted wind speed to power output. Actual wind speed is varied across numerous sub-horizons within each time slot by using a pseudo-random number generator. The stochastic nature of renewable generation is effectively managed, producing a robust simulation. Model sensitivities are investigated and graphical results presented.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Demand side management; microgrid; smart grid; distributed renewables; user utility function
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Paul Burns
Date Deposited: 06 Sep 2018 09:03
Last Modified: 11 Oct 2019 19:30
URI: http://nrl.northumbria.ac.uk/id/eprint/35593

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