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

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

35 Downloads (Pure)

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
Number of pages11
PublisherAssociation for Computing Machinery
Publication date18 Jun 2019
Pages170-180
ISBN (Print)978-1-4503-6671-7/19/06
ISBN (Electronic)9781450366717
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

Keywords

  • Cellular energy systems
  • Energy flexibility
  • Flex Offers

Fingerprint Dive into the research topics of 'Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems'. Together they form a unique fingerprint.

  • 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