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Assessing the Influence of Different Goals in Energy Communities’ Self-Sufficiency—An Optimized Multiagent Approach

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  • Inês F. G. Reis

    (INESC Coimbra, DEEC, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal)

  • Ivo Gonçalves

    (INESC Coimbra, DEEC, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal)

  • Marta A. R. Lopes

    (INESC Coimbra, DEEC, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal
    Polytechnic of Coimbra, ESAC, 3045-601 Coimbra, Portugal)

  • Carlos Henggeler Antunes

    (INESC Coimbra, DEEC, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal
    Department of Electrical and Computer Engineering, University of Coimbra, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal)

Abstract

Understanding to what extent the emergence of prosumers and prosumagers organized in energy communities can impact the organization and operation of power grids has been one of the major recent research avenues at the European level. In renewable-based communities aiming to reach some level of energy self-sufficiency, a key issue to be addressed is assessing how the presence of end-users playing different roles in the system (self-consuming, producing and trading, performing demand management, etc.) can influence the overall system performance. In this setting, this paper combines Distributed Artificial Intelligence and optimization approaches to assess how prosumagers and consumers pursuing different goals can influence the energy self-sufficiency of a local energy community. The residential demand is accurately modeled, and the agents’ preferences are considered in the modeling to represent a smart community. The results show that although energy community members may have conflicting individual goals, the overall system self-sufficiency can be maximized with economic benefits for all stakeholders, thus illustrating the advantages of energy communities.

Suggested Citation

  • Inês F. G. Reis & Ivo Gonçalves & Marta A. R. Lopes & Carlos Henggeler Antunes, 2021. "Assessing the Influence of Different Goals in Energy Communities’ Self-Sufficiency—An Optimized Multiagent Approach," Energies, MDPI, vol. 14(4), pages 1-32, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:989-:d:498990
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    as
    1. Wolf-Peter Schill, Alexander Zerrahn, and Friedrich Kunz, 2017. "Prosumage of solar electricity: pros, cons, and the system perspective," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    2. Bunn, Derek W. & Oliveira, Fernando S., 2007. "Agent-based analysis of technological diversification and specialization in electricity markets," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1265-1278, September.
    3. Hovgaard, Tobias Gybel & Larsen, Lars F.S. & Edlund, Kristian & Jørgensen, John Bagterp, 2012. "Model predictive control technologies for efficient and flexible power consumption in refrigeration systems," Energy, Elsevier, vol. 44(1), pages 105-116.
    4. Chantal Ruppert-Winkel & Jürgen Hauber, 2014. "Changing the Energy System towards Renewable Energy Self-Sufficiency—Towards a multi-perspective and Interdisciplinary Framework," Sustainability, MDPI, vol. 6(5), pages 1-10, May.
    5. Morsali, Roozbeh & Thirunavukkarasu, Gokul Sidarth & Seyedmahmoudian, Mehdi & Stojcevski, Alex & Kowalczyk, Ryszard, 2020. "A relaxed constrained decentralised demand side management system of a community-based residential microgrid with realistic appliance models," Applied Energy, Elsevier, vol. 277(C).
    6. Antonopoulos, Ioannis & Robu, Valentin & Couraud, Benoit & Kirli, Desen & Norbu, Sonam & Kiprakis, Aristides & Flynn, David & Elizondo-Gonzalez, Sergio & Wattam, Steve, 2020. "Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    7. Lin, Haiyang & Wang, Qinxing & Wang, Yu & Liu, Yiling & Sun, Qie & Wennersten, Ronald, 2017. "The energy-saving potential of an office under different pricing mechanisms – Application of an agent-based model," Applied Energy, Elsevier, vol. 202(C), pages 248-258.
    8. Gonçalves, Ivo & Gomes, Álvaro & Henggeler Antunes, Carlos, 2019. "Optimizing the management of smart home energy resources under different power cost scenarios," Applied Energy, Elsevier, vol. 242(C), pages 351-363.
    9. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    10. Radhakrishnan, Bharat Menon & Srinivasan, Dipti, 2016. "A multi-agent based distributed energy management scheme for smart grid applications," Energy, Elsevier, vol. 103(C), pages 192-204.
    11. Xiong, Linyun & Li, Penghan & Wang, Ziqiang & Wang, Jie, 2020. "Multi-agent based multi objective renewable energy management for diversified community power consumers," Applied Energy, Elsevier, vol. 259(C).
    12. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.
    13. Gomes, A. & Antunes, C. Henggeler & Martinho, J., 2013. "A physically-based model for simulating inverter type air conditioners/heat pumps," Energy, Elsevier, vol. 50(C), pages 110-119.
    14. Davarzani, Sima & Granell, Ramon & Taylor, Gareth A. & Pisica, Ioana, 2019. "Implementation of a novel multi-agent system for demand response management in low-voltage distribution networks," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    15. Müller, Matthias Otto & Stämpfli, Adrian & Dold, Ursula & Hammer, Thomas, 2011. "Energy autarky: A conceptual framework for sustainable regional development," Energy Policy, Elsevier, vol. 39(10), pages 5800-5810, October.
    16. Inês, Campos & Guilherme, Pontes Luz & Esther, Marín-González & Swantje, Gährs & Stephen, Hall & Lars, Holstenkamp, 2020. "Regulatory challenges and opportunities for collective renewable energy prosumers in the EU," Energy Policy, Elsevier, vol. 138(C).
    17. Ma, Tieju & Nakamori, Yoshiteru, 2009. "Modeling technological change in energy systems – From optimization to agent-based modeling," Energy, Elsevier, vol. 34(7), pages 873-879.
    18. Lowitzsch, J. & Hoicka, C.E. & van Tulder, F.J., 2020. "Renewable energy communities under the 2019 European Clean Energy Package – Governance model for the energy clusters of the future?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    19. Dariusz Pieńkowski & Wojciech Zbaraszewski, 2019. "Sustainable Energy Autarky and the Evolution of German Bioenergy Villages," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    20. Coelho, Vitor N. & Weiss Cohen, Miri & Coelho, Igor M. & Liu, Nian & Guimarães, Frederico Gadelha, 2017. "Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids," Applied Energy, Elsevier, vol. 187(C), pages 820-832.
    21. Engelken, Maximilian & Römer, Benedikt & Drescher, Marcus & Welpe, Isabell, 2016. "Transforming the energy system: Why municipalities strive for energy self-sufficiency," Energy Policy, Elsevier, vol. 98(C), pages 365-377.
    22. Alfonso González-Briones & Fernando De La Prieta & Mohd Saberi Mohamad & Sigeru Omatu & Juan M. Corchado, 2018. "Multi-Agent Systems Applications in Energy Optimization Problems: A State-of-the-Art Review," Energies, MDPI, vol. 11(8), pages 1-28, July.
    23. Rae, Callum & Bradley, Fiona, 2012. "Energy autonomy in sustainable communities—A review of key issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6497-6506.
    24. Varun Rai & Adam Douglas Henry, 2016. "Agent-based modelling of consumer energy choices," Nature Climate Change, Nature, vol. 6(6), pages 556-562, June.
    25. Reis, Inês F.G. & Gonçalves, Ivo & Lopes, Marta A.R. & Antunes, Carlos Henggeler, 2020. "A multi-agent system approach to exploit demand-side flexibility in an energy community," Utilities Policy, Elsevier, vol. 67(C).
    26. Dusparic, Ivana & Taylor, Adam & Marinescu, Andrei & Golpayegani, Fatemeh & Clarke, Siobhan, 2017. "Residential demand response: Experimental evaluation and comparison of self-organizing techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1528-1536.
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