Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems

Laurynas Siksnys, Torben Bach Pedersen, Muhammad Aftab, Bijay Neupane

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Accelerated local deployments of renewable energy sources and
energy storage units, as well as increased overall flexibility in local
demand and supply through active user involvement and smart
energy solutions, open up new opportunities (e.g., self-sufficiency
and CO2 neutrality through local renewables) and yet pose new
challenges (e.g., how to maintain the security of supply and get
the best yield) to market players in the lower parts of the energy
system (including prosumers, energy communities, aggregators, and
distribution system operators (DSOs)). One way to cope with the
challenges requires "logical" reorganization of the energy system
bottom-up as a number of nested (maximally) self-sufficient and
interacting cells with their own local (i.e. within a cell) energy
management and trading capabilities. This change necessitates effective
IT-based solutions. Towards this goal, we propose a unified
Flexibility Modeling, Management, and Trading System (FMTS)
that generalizes flexibility modeling, management, and intra-cell
trading in such cellular energy systems. Our system offers different
flexibility provisioning options (Machine Learning based, and
Model Predictive Control based), activation mechanisms (indirect
and direct device-control), and trading schemes (e.g. flexibility contracts,
market-based trading) and suits different cellular system
use-cases. In this paper, we introduce the FMTS, overview its core
functionality and components, and explain how it practically manages,
prices, and trades flexibility from a diverse variety of loads.
We then introduce the real-world FMTS instances developed in the
GOFLEX project1 and present experimental results that demonstrate
significantly increased flexibility capacities, user gains, and
balance between demand and supply when an FMTS instance is
used in the simulated cellular energy system setting.
Original languageEnglish
Title of host publicationProceedings of the Tenth ACM International Conference on Future Energy Systems, e-Energy 2019
PublisherAssociation for Computing Machinery
Publication date18 Jun 2019
Pages170-180
ISBN (Print)978-1-4503-6671-7/19/06
DOIs
Publication statusPublished - 18 Jun 2019
EventTenth ACM International Conference on Future Energy Systems (ACM e-Energy 2019) - Phoenix Convention Center, Phoenix, United States
Duration: 25 Jun 201928 Jun 2019
Conference number: 10
https://energy.acm.org/conferences/eenergy/2019/

Conference

ConferenceTenth ACM International Conference on Future Energy Systems (ACM e-Energy 2019)
Number10
LocationPhoenix Convention Center
CountryUnited States
CityPhoenix
Period25/06/201928/06/2019
Internet address

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Cite this

Siksnys, L., Pedersen, T. B., Aftab, M., & Neupane, B. (2019). Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems. In Proceedings of the Tenth ACM International Conference on Future Energy Systems, e-Energy 2019 (pp. 170-180). Association for Computing Machinery. https://doi.org/10.1145/3307772.3328296
Siksnys, Laurynas ; Pedersen, Torben Bach ; Aftab, Muhammad ; Neupane, Bijay. / Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems. Proceedings of the Tenth ACM International Conference on Future Energy Systems, e-Energy 2019. Association for Computing Machinery, 2019. pp. 170-180
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Siksnys, L, Pedersen, TB, Aftab, M & Neupane, B 2019, Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems. in Proceedings of the Tenth ACM International Conference on Future Energy Systems, e-Energy 2019. Association for Computing Machinery, pp. 170-180, Tenth ACM International Conference on Future Energy Systems (ACM e-Energy 2019), Phoenix, United States, 25/06/2019. https://doi.org/10.1145/3307772.3328296

Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems. / Siksnys, Laurynas; Pedersen, Torben Bach; Aftab, Muhammad; Neupane, Bijay.

Proceedings of the Tenth ACM International Conference on Future Energy Systems, e-Energy 2019. Association for Computing Machinery, 2019. p. 170-180.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Siksnys L, Pedersen TB, Aftab M, Neupane B. Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems. In Proceedings of the Tenth ACM International Conference on Future Energy Systems, e-Energy 2019. Association for Computing Machinery. 2019. p. 170-180 https://doi.org/10.1145/3307772.3328296