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Residential Battery Energy Storage Systems (BESS) Modeling and Effect on the Smart Grid from the Classroom Point of View

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2014 ASEE Annual Conference & Exposition


Indianapolis, Indiana

Publication Date

June 15, 2014

Start Date

June 15, 2014

End Date

June 18, 2014



Conference Session

Electrical Energy Courses - Labs and Projects

Tagged Division

Energy Conversion and Conservation

Page Count


Page Numbers

24.1045.1 - 24.1045.16



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Paper Authors


Nattee Cheeweewattanakoon California State University, Northridge

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A graduate student in the area of electric power systems at Calfornia State University, Northridge, Mr. Cheeweewattanakoon's research interests are power electronics and renewable energy. He is concentrating on residential energy storage and EV2G (electric vehicle to grid).

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Gurveen Kaur California State University, Northridge

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Born in India in 1986, Mrs. Kaur received her bachelor of science degree in electrical engineering and a master's of business administration (marketing, HR) from Punjab Technical University. She worked in Punj LLoyd Ltd., India, and gained knowledge about the actual engineering behind the construction of power and process plants. Currently, she is pursuing a master of science degree (power systems) from California State University, Northridge. Her research interests include power systems, energy storage systems, distribution systems, and smart grid and distributed generation.

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Neha Chawla

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Nattee Cheeweewattanakoon

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  Residential Battery Energy Storage Systems (BESS) Modeling and Effect on the Smart Grid from the Classroom Point of View   Energy Storage Systems (ESS) is a technology that has existed for quite a long time. Recentlyowing to a change in the overall structure of the electrical power system, slowly the concept ofthe electricity generation is shifting from the use of non-renewable energy sources (coal, oil etc.)to renewable sources (wind, tidal, solar, geothermal etc.). Due to the penetration of renewableenergy sources into the present day power systems, the use of energy storage systems into powersystem management is becoming a serious issue. The evolution of the concept of energy storagesystems undoubtedly offers new opportunities, challenges and numerous advantages. Over thepast few decades, many new advances have been made in this field of energy storage systems.These energy storage systems help in overcoming the limitations of electricity generation fromrenewable energy sources (the major one being intermittent nature of generation). Besides, thesealso offer a number of advantages like frequency regulation, transient stability, voltage support,flicker compensation, spinning reserve, uninterruptable power supply, load leveling, peakshaving to name a few. Utilization of energy storage systems begins at the transmission levelwhere large scale storage devices are the best options to be used. Next, the small scale energystorage devices are the ones that are used at the consumers end. Small scale energy storage devices include battery energy storage system (BESS), thermalenergy storage (TESS), ultra-capacitors (EDLC), and flywheels. Among the listed small scaleenergy storage systems, Battery Energy Storage systems (BESS) is the most commonly usedcategory of energy storage systems that is used with the renewable energy sources. BatteryEnergy Storage Systems plays a significant role in the integration of small scale renewableenergy sources into the main power system network (a.k.a. smart grid). These can be seen as thedistinct and most viable solution for small scale renewable energy integration due to theirremarkable properties like high energy density, technology up gradation, power density,discharge time, life cycle, response time, cost and efficiency etc.This paper will research the latest advances in energy storage devices as applied to “residentialenergy storage” in the state of California. Furthermore, the paper will demonstrate the modelingand simulation of BESS and the importance of a well-designed BESS, the aggregate effect intostability, voltage regulation and frequency in the smart grid. The aim of this paper is tointroduce a week or two of BESS systems into our Electric Power System Curriculum, mostly atthe senior level courses. LIST OF IEEE REFERENCES1. Bull. Christopher G, “Forging the smart grid – from theory to practice”.2. Kai yang, Walid A, “Outage storage trade off in smart grid networks with renewable energy sources.” Computing, Networking and Communications (ICNC), 2012 International Conference. Publication Year: 2012. Page(s): 517-521.3. Such, M.C, Hill.C, “Battery energy storage and wind energy integrated into the smart grid.” Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES. Publication Year: 2012, Page(s): 1-4.4. Pang C, Duta, Kezunovic, M. “BEV’s/PHEV’s as dispersed energy storage for V2B uses in the Smart Grid.” Smart Grid, IEEE Transactions, Volume 3. Publication Year: 2012, Page(s): 473 – 482.5. 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Tazao T, Ishi D , Yamanaka N, “ Novel Scheduling method to reduce Energy Cost by Cooperative Control of Smart Houses”. Power System Technology (POWERCON), 2012 IEEE International Conference. Publication Year: 2012, Page(s): 1-6.10. Moldrink A, Bakker V, “Three step methodology to improve domestic energy efficiency.” Innovative Smart Grid Technologies (ISGT), 2010. Publication Year: 2010, Page(s): 1-8.11. Jauch E.T, “Possible effects of smart grid functions on LTC transformers.” Rural Electric Power Conference (REPC), 2010 IEEE. Publication Year: 2010, Page(s): B1 - B1-10.12. Ghunem R.A, Hamid M, Jayaram S, “Transformer insulation risk assessment under mart grid environment due to enhanced aging effects.” Electrical Insulation Conference (EIC), 2011. Publication Year: 2011 , Page(s): 276 - 27913. 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Cheeweewattanakoon, N., & Kaur, G., & Chawla, N., & Cheeweewattanakoon, N. (2014, June), Residential Battery Energy Storage Systems (BESS) Modeling and Effect on the Smart Grid from the Classroom Point of View Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--22978

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