Control of EV Charging and BESS to Reduce Peak Powers in Domestic Real Estate

Toni Simolin; Antti Rautiainen; Juha Koskela; Pertti Järventausta

doi:10.15866/iree.v14i1.16034

Control of EV Charging and BESS to Reduce Peak Powers in Domestic Real Estate

Toni Simolin^(1*), Antti Rautiainen⁽²⁾, Juha Koskela⁽³⁾, Pertti Järventausta⁽⁴⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/iree.v14i1.16034

Abstract

The paper discusses the effects of electric vehicle (EV) charging and battery energy storage systems (BESS) on monthly peak powers in domestic apartment buildings. The introduced control method for both EV charging and BESS utilizes real-time measurements and memorized peak power consumptions to determine the available power before exceeding the previous peak power. This kind of control method could lead to cost savings if the power-based distribution tariff of distribution system operators (DSO) includes a price component based on monthly peak power. Some Finnish DSOs have also launched this kind of power-based distribution tariff for small-scale customers. Simulations indicate that EVs can likely be charged without increasing the monthly peak powers of real estate when EV penetration is relatively small. Higher EV penetration would lead to a higher risk of some EVs to not fully charge. There are also indications that BESS can be effective in limiting monthly peak powers when utilizing the peak saving control method.
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Keywords

BESS; EV Charging; Peak Load Management; Power-Based Distribution Tariff

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References

Ministry of Economic Affairs and Employment, Strategy outlines energy and climate actions to 2030 and beyond, 2016, p. 1, Available at:
https://valtioneuvosto.fi/en/artikkeli/-/asset_publisher/1410877/strategia-linjaa-energia-ja-ilmastotoimet-vuoteen-2030-ja-eteenpain

A. Rautiainen, K. Lummi, P. Järventausta, V. Tikka, A. Lana, Control of electric vehicle charging in domestic real estates as part of demand response functionality, Cired, p. 4, 2016.
https://doi.org/10.1049/cp.2016.0614

T. Bohn, C. Cortes, and H. Glenn, Local automatic load control for electric vehicle smart charging systems extensible via OCPP using compact submeters, IEEE Transportation Electrification Conference and Expo (ITEC), Chicago, IL, pp. 724–731, 2017.
https://doi.org/10.1109/itec.2017.7993359

A. Dogan, M. Kuzlu, M. Pipattanasomporn, S. Rahman, and T. Yalcinoz, Impact of EV charging strategies on peak demand reduction and load factor improvement, 9th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, pp. 374–378, 2015.
https://doi.org/10.1109/eleco.2015.7394559

U. Reiner, C. Elsinger, and T. Leibfried, Distributed self organising electric vehicle charge controller system: Peak power demand and grid load reduction with adaptive EV charging stations, IEEE International Electric Vehicle Conference, Greenville, SC, pp. 1–6, 2012.
https://doi.org/10.1109/ievc.2012.6183277

L. Hua, J. Wang, and C. Zhou, Adaptive electric vehicle charging coordination on distribution network, IEEE Transactions on Smart Grid, vol. 5, no. 6, pp. 2666–2675, Nov. 2014.
https://doi.org/10.1109/tsg.2014.2336623

V. Aravinthan and W. Jewell, Controlled electric vehicle charging for mitigating impacts on distribution assets, IEEE Transactions on Smart Grid, vol. 6, no. 2, pp. 999–1009, Mar. 2015.
https://doi.org/10.1109/tsg.2015.2389875

Y. Tang and J. Zhong, System-level charging control strategy for plug-in electric vehicles, IEEE Power & Energy Society General Meeting, Denver, CO, p. 5, 2015.
https://doi.org/10.1109/pesgm.2015.7286286

Energy Authority, National Report 2018 to the Agency for the Cooperation of Energy Regulators and to the European Commission, p. 47, 2018, Available at:
https://www.energiavirasto.fi/documents/10191/0/National+Report+2018+Finland+1411-480-2018_20180726.pdf/10b8e538-2eef-4e97-8629-aafd4ad9ee02

Solarwatt, Data sheet MyReserve 800, https://www.solarwatt.com/downloads/storage-myreserve
[Accessed 4.9.2018]

M. Naumann, R. C. Karl, C. N. Truong, A. Jossen, and H. C. Hesse, Lithium-ion battery cost analysis in PV-household application, Energy Procedia, vol. 73, pp. 37–47, 2015.
https://doi.org/10.1016/j.egypro.2015.07.555

P. J. Hall and E. J. Bain, Energy-storage technologies and electricity generation, Energy Policy, vol. 36, no. 12, pp. 4352–4355, 2008.
https://doi.org/10.1016/j.enpol.2008.09.037

V. F. Pires, E. Romero-Cadaval, D. Vinnikov, I. Roasto, and J. F. Martins, Power converter interfaces for electrochemical energy storage systems – A review, Energy Conversion and Management, vol. 86, pp. 453–475, 2014.
https://doi.org/10.1016/j.enconman.2014.05.003

R. Martins, P. Kreimer, and P. Musilek, LP-based predictive energy management system for residential PV/BESS, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, pp. 3727–3732, 2017.
https://doi.org/10.1109/smc.2017.8123213

X. Wu, X. Hu, Y. Teng, S. Qian, and R. Cheng, Optimal integration of a hybrid solar-battery power source into smart home nanogrid with plug-in electric vehicle, Journal of Power Sources, vol. 363, pp. 277–283, 2017.
https://doi.org/10.1016/j.jpowsour.2017.07.086

Statistics Finland, Passenger cars were driven like in previous years - efficiency of road freight transportation improved, (In Finnish), Available:
http://www.stat.fi/tietotrendit/artikkelit/2018/henkiloautoilla-ajettiin-edellisvuosien-lailla-maanteiden-tavarankuljetukset-tehostuivat/

K. Lummi, A. Rautiainen, P. Järventausta, P. Heine, J. Lehtinen, and M. Hyvärinen, Cost-causation based approach in forming power-based distribution network tariff for small customers, EEM, p. 5, 2016.
https://doi.org/10.1109/eem.2016.7521251

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