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A Profitability Analysis for an Aggregator in the Ancillary Services Market: An Italian Case Study

Author

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  • Carmine Cancro

    (ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

  • Camelia Delcea

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010374 Bucharest, Romania)

  • Salvatore Fabozzi

    (ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

  • Gabriella Ferruzzi

    (ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

  • Giorgio Graditi

    (ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

  • Valeria Palladino

    (ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

  • Maria Valenti

    (ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

Abstract

The integration of renewable energy sources into the energy system requires both new investment in network infrastructures, and the introduction of new models of energy management. In this framework, new structures of collaborations were born: the aggregator is one of them. It involves grouping different players of the power system, acting, however, as a single entity both when it participates in the electricity markets and sells services to the operator. In this work, a new methodology to determine the optimal revenue of a Unità Virtuali Abilitate Miste (UVAM), which is an Italian virtual energy unit managed by an aggregator, is proposed. The methodology is articulated in several steps, the core of which is represented by the two models: (1) a cost–benefit analysis in order to identify the main costs/benefits that impact on the UVAM’ revenues; and (2) a decision-making model based on the sensitive analysis to capture the optimal interaction between users and aggregator. The results show how, on varying the parameter costs depending on the aggregator-users’ strategy, it is possible to obtain different optimal “working-points”. Finally, the analysis identifies two main cost factors that impact on the optimal revenue: the Energy Management Platform and the Communication costs, confirming the importance of these parameters in the general economy of UVAM.

Suggested Citation

  • Carmine Cancro & Camelia Delcea & Salvatore Fabozzi & Gabriella Ferruzzi & Giorgio Graditi & Valeria Palladino & Maria Valenti, 2022. "A Profitability Analysis for an Aggregator in the Ancillary Services Market: An Italian Case Study," Energies, MDPI, vol. 15(9), pages 1-26, April.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3238-:d:804702
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    References listed on IDEAS

    as
    1. Wang, Fei & Ge, Xinxin & Yang, Peng & Li, Kangping & Mi, Zengqiang & Siano, Pierluigi & Duić, Neven, 2020. "Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing," Energy, Elsevier, vol. 213(C).
    2. Xiao, Xiangsheng & Wang, Jianxiao & Lin, Rui & Hill, David J. & Kang, Chongqing, 2020. "Large-scale aggregation of prosumers toward strategic bidding in joint energy and regulation markets," Applied Energy, Elsevier, vol. 271(C).
    3. Abedini, Mohammad & Moradi, Mohammad H. & Hosseinian, S. Mahdi, 2016. "Optimal management of microgrids including renewable energy scources using GPSO-GM algorithm," Renewable Energy, Elsevier, vol. 90(C), pages 430-439.
    4. Lanka Horstink & Julia M. Wittmayer & Kiat Ng & Guilherme Pontes Luz & Esther Marín-González & Swantje Gährs & Inês Campos & Lars Holstenkamp & Sem Oxenaar & Donal Brown, 2020. "Collective Renewable Energy Prosumers and the Promises of the Energy Union: Taking Stock," Energies, MDPI, vol. 13(2), pages 1-30, January.
    5. Guilherme Pontes Luz & Rodrigo Amaro e Silva, 2021. "Modeling Energy Communities with Collective Photovoltaic Self-Consumption: Synergies between a Small City and a Winery in Portugal," Energies, MDPI, vol. 14(2), pages 1-26, January.
    6. Gianfranco Chicco & Andrea Mazza, 2020. "Metaheuristic Optimization of Power and Energy Systems: Underlying Principles and Main Issues of the ‘Rush to Heuristics’," Energies, MDPI, vol. 13(19), pages 1-38, September.
    7. Michael Makowsky & Richard Wagner, 2009. "From scholarly idea to budgetary institution: the emergence of cost-benefit analysis," Constitutional Political Economy, Springer, vol. 20(1), pages 57-70, March.
    8. Ahmad, Jameel & Imran, Muhammad & Khalid, Abdullah & Iqbal, Waseem & Ashraf, Syed Rehan & Adnan, Muhammad & Ali, Syed Farooq & Khokhar, Khawar Siddique, 2018. "Techno economic analysis of a wind-photovoltaic-biomass hybrid renewable energy system for rural electrification: A case study of Kallar Kahar," Energy, Elsevier, vol. 148(C), pages 208-234.
    9. N. Womer & M.-L. Bougnol & J. Dula & D. Retzlaff-Roberts, 2006. "Benefit-cost analysis using data envelopment analysis," Annals of Operations Research, Springer, vol. 145(1), pages 229-250, July.
    10. Barbero, Mattia & Corchero, Cristina & Canals Casals, Lluc & Igualada, Lucia & Heredia, F.-Javier, 2020. "Critical evaluation of European balancing markets to enable the participation of Demand Aggregators," Applied Energy, Elsevier, vol. 264(C).
    11. Jan Marc Schwidtal & Marco Agostini & Fabio Bignucolo & Massimiliano Coppo & Patrizia Garengo & Arturo Lorenzoni, 2021. "Integration of Flexibility from Distributed Energy Resources: Mapping the Innovative Italian Pilot Project UVAM," Energies, MDPI, vol. 14(7), pages 1-29, March.
    12. Umeozor, Evar Chinedu & Trifkovic, Milana, 2016. "Operational scheduling of microgrids via parametric programming," Applied Energy, Elsevier, vol. 180(C), pages 672-681.
    13. Kody T. Ponds & Ali Arefi & Ali Sayigh & Gerard Ledwich, 2018. "Aggregator of Demand Response for Renewable Integration and Customer Engagement: Strengths, Weaknesses, Opportunities, and Threats," Energies, MDPI, vol. 11(9), pages 1-20, September.
    14. Abhimanyu Kaushal & Dirk Van Hertem, 2019. "An Overview of Ancillary Services and HVDC Systems in European Context," Energies, MDPI, vol. 12(18), pages 1-20, September.
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    2. Alexandra-Nicoleta Ciucu-Durnoi & Margareta Stela Florescu & Camelia Delcea, 2023. "Envisioning Romania’s Path to Sustainable Development: A Prognostic Approach," Sustainability, MDPI, vol. 15(17), pages 1-18, August.

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