Smart Grid and Smart Parking Lots

Project Description

The movement toward greater urbanization is a long-term trend driven by economic forces world-wide.  Studies estimate that the population is shifting, in ever greater numbers, to urban areas, with predictions of 66% of the worlds' population occupying larger urban areas by 2050.  In order to handle this, many research efforts toward Smart Cities and Smart Grid, as well as Intelligent Transportation Systems (ITS), have emerged.

This project builds on the intersection of Smart Cities, the Smart Grid, and Intelligent Transportation Systems.  We will be examining various a specific enabling technology to improve the interaction of electric vehicles (EVs) with the smart grid in an intelligent transportation system.  The specific thrust involves the use of smart parking lots in the interface of EVs with the smart grid.  This interface is typically referred-to as V2G (Vehicle to Grid), and there are numerous avenues of research.  This particular project focuses on intelligent means by which vehicles are connected to and interface with the smart grid through intelligent charging strategies, as well as in providing ancillary services to the smart grid (e.g. using the vehicle's battery to provide supplemental power to the grid).  These can be examined on the scale of individual EVs, as well as through collectives known as aggregations of EVs.  The smart parking lot concept relates to this by providing a means for a larger collection of EVs to be connected to the smart grid, leveraging their resources (in terms of their batteries) to provide services to the smart grid. 

Additionally, the smart parking lot can be considered as a form of microgrid, which is a form of autonomous energy management system under the control of a single administrative authority.  A microgrid typically includes its own localized power source and the ability to separate itself from the larger grid.  In this project, we will examine aggregations such as smart parking lots interpreted as localized microgrids.

Work Description

The GSRA will help to develop simulations and algorithms for charging scheduling as it relates to V2G, and the interface between EVs and smart parking lots.  In addition to programming the simulation software, this will involve running the simulations, gathering data, and performing some low-level statistical analysis.

Additionally, the GSRA will assist in preparation of papers for submission to conferences and journals, typically involving creation of charts and diagrams using MS Office tools.

Requirements Description

GSRA must have demonstrable programming proficiency and an ability to communicate effectively.

Experience using MS Office tools, such as Excel and Visio, is also desirable.

Work Schedule

This project is based off the project conducted during Fall and Winter 2017-18.  At this point, it is expected that the model will have been built and tested, with results being produced.  Accordingly, the second year is to be spent on continued refinement and improvement of the model.  The schedule is relatively simple:

Fall term: continued development of algorithms in consultation with PI, and programming the algorithms into the simulation software.  Running simulations, gathering, and aggregating data.  Statistical analysis.

Winter term:  continuation of activities from the fall, as well as assisting PI(s) in writing papers for conference/journal submissions.

Late fall/early winter term:  running simulations, gathering and aggregating data; statistical analysis

Early to mid winter term: assisting PI(s) in writing papers for conference/journal submissions.


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Job ID: 169717
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Job Detail
Job Opening ID
Computer Science & Computer Information Systems
Fall 2019 and Winter 2020
Work could be done by someone not coming to campus (e.g., online or non-local student)
What majors can apply?
  • Computer Science and Information Systems (MS)
Faculty Sponsor
Faculty Name
Stephen Turner
Computer Science & Computer Information Systems
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