Projects:2014S1-03 Design of a Mobile Energy Storage System for Grid Integration

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This project aims at using Labview to develop a simulation software for Energy Storage Systems (ESS), with functions of simulating different ESS services, analyzing load power curves as well as giving optical solutions for building ESS. The project consists of three steps: literature research to collect information about ESS, simulation software design and software implementation using real measured data.


Project Information

This project is involved with the energy storage system. As the worlds become more populated and the demand for energy is increasing every moment, it is necessary to take feasible step to full fill the demand of energy when it is most needed by using renewable sources. An energy storage system is a device that stores energy when the demand of electricity is low and provide the electricity when the demand of electricity is high. This energy storage system could be charged using a battery from renewable sources such as wind turbine and solar panel. The final goal for this project is to estimate the peak hour energy for a particular load and according to that demand an ESS should ramp up with the generation in order to keep up the demand of electricity. For example, after getting a load data for a month or a year of a refridgetor, it is possible to analysis the data and estimate the peak hour demand. According to this demand value, an ESS could add up with the generation to keep up the demand and saving the cost of energy simultaneously.


Project outline

The research team is aiming to design simulation software for energy storage system. The deliver include all the phases as a functional software prototype and build up demo model of software and hardware part including designing, manufacturing, feedback analysis, redesigning, testing as well as other relevant services. The execution part of the project has divided into three stages:

    (1) Investigation stage;
    (2) Software design stage;
    (3) Practical stage.


Project Status

ESS services

From the Electricity Storage Handbook released by Sandia National Laboratories[1], the ESS services are categorized into 5 main types, each main type is also subdivided into several services which are more specific to relevant utilization. In our project, we have chosen five typical services to represent different applications. These services are:

    1)	Spinning reserve: ESS stores an energy reserve that is online but not loaded, which could response fast to compensate for system outage.
    2)	Black start: Storage systems provide an energy reserve which can be used to provide station power to bring power plants on line after a 
       catastrophic failure of the grid.
    3)	Transmission Line Infrastructure Deferral: Storage of energy used to defer the utility investments in transmission system upgrades due 
       to system aging or increasing power demand. 
    4)	Power Quality: There are several different functions that could be categorized into this service, including voltage sag compensation, 
       harmonics elimination, power factor corrections etc.
    5)	Peak Shaving: Customers could freely determine how much power they want to have ESS storage replace in order to decrease the capacity needs 
       from the grid.

ESS Components

ESS components include storage techniques, storage management systems, inverters, converters, protection devices and communications. Each of them is playing important role within the whole system. For our project, constraints are that we mainly focus on batteries as storage techniques and battery management system(BMS) as storage management system.

Software Design

The starting panel: The starting panel has a responsibility to give clients introductions about ESS along with the available services types. Also, configuration panels of each service are connection links between starting panel and data analysis panel. See the running example of the front panel, after choosing Black Start button, a configuration sub-window shows up and also relevant help is available at help menu around top left corner. 123.png

Click "go to analysis" button, then a analysis panel shows up to help clients to analyse the demand power curve they provide. 234.png

The final results containing the attributes and price of the selected ESS components will show up once the analysis step is finished, the area of energy which is expected to be shaved is automatically calculated and the "Confirm" button is pressed. In the third panel, it is applicable to check the settings from previous panel, and make some more specific requirements. The results will be shown in the right section. Also, report generation functions are embedded for clients' convenience.

Result.png

The generated report is shown:

Report.png

And there is another mode for generating report which is simply keep all the results from previous calculations for comparison.

Team

Group Members

Shanta Islam

Linghao Zhou

Junyi Shi

Supervisors

Nesimi Ertugrul

Wen Soong

Reference

[1] G. H. Abbas A. Akhil, Aileen B., Electricity Storage Handbook in Collaboration with NRECA: Sandia National Laboratories, 2013.

[2] D. Andrea, Battery management systems for large lithium-ion battery packs. Boston: Arteh House, 2010.

[3] H. R. Eichi1, U.Ojha, F. Baronti, Battery Management System in Smart Grid and Electric Vehicles, 2013.

[4] Downloaded at 06/10/2014, Spinning Reserve and Non-Spinning Reserve, source from http://www.caiso.com/

[5] Wikipedia, key words are corresponding battery types, source website: http://en.wikipedia.org/wiki/

[6] A.E.Sarasua, M.G. Molina and P.E.Mercado, Dynamic Model of Sodium Sulfur Battery for Application in Microgrids. Hyfusen Congress, 2012.

[7] National Instrument offical website, Why Labview-One platform, infinite possibilities, available at: http://www.ni.com/labview/why/

[8] X.H.Chen, From Amateurs to Masters, LabView Programming Desgin Guidebook. Beijing, China:Tsinghua University, 2008.

[9] IEEE Recommended Practice for Sizing Lead-Acid Batteries for Stationary Applications, IEEE standard 485-2010, 2011

[10] A.Lukindo, LabVIEW Queued State Machine Consumer Producer Architecture, Mezintel Incorporated, Calgary, Canada,2007