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Resilient Prosumer Scenario in a Changing Regulatory Environment—The UniRCon Solution

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Listed:
  • Mihai Sanduleac

    (Faculty of Power Engineering, Politehnica University of Bucharest, 060042 Bucharest, Romania)

  • Irina Ciornei

    (Faculty of Electrical Engineering, Politehnica University of Bucharest, 060042 Bucharest, Romania)

  • Mihaela Albu

    (Faculty of Electrical Engineering, Politehnica University of Bucharest, 060042 Bucharest, Romania)

  • Lucian Toma

    (Faculty of Power Engineering, Politehnica University of Bucharest, 060042 Bucharest, Romania)

  • Marta Sturzeanu

    (Faculty of Electrical Engineering, Politehnica University of Bucharest, 060042 Bucharest, Romania)

  • João F. Martins

    (Faculty of Sciences and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal)

Abstract

Technological developments are pushing for new solutions based upon massive integration of renewable electricity generation in networks already facing many challenges. This paper presents a novel approach to managing the energy transfer towards prosumers making use of smart management of local energy storage. The proposed design (including storage dimensioning) is based on several operating scenarios in which the prosumer might operate as: (i) a “ load only ” entity (from a grid perspective), thus exhibiting investment resiliency against regulatory changes and high energy efficiency; or (ii) a prosumer, in case regulatory opportunistic profit might be available. This can be realized within a newly proposed Uni-directional Resilient Consumer (UniRCon) architecture. The major aim of the proposed architecture is to achieve optimal self-consumption while avoiding curtailment even in a changing regulatory environment like, for example, the total lack of incentives for generation based on renewable energy sources (RES). One of the major advantages of the proposed architecture consists in the adaptability to changes in the regulatory and market environment. The term resilience is used with multiple meanings: (a) the prosumer’s financial resilience against regulatory changes when investment calculations assume no-grid injections; (b) the prosumer’s technical resilience, with electrical design based on standalone operation; (c) the resilience of clusters of interconnected end-user installations with enabled community-level electricity exchange, independent of the existing main grid supply; (d) the contribution to grid resilience, by enabling AC microgrid (MG) operation in island mode when large portions of the grid are formed by clusters of UniRCon prosumers (the ease of islanding segmentation of the local grid in case of emergencies). For proof of concept, three use-cases are detailed: (i) photovoltaic (PV) installations connected behind the meter; (ii) PV and storage available and controllable behind the meter; and (iii) the UniRCon architecture. The three use-cases are then compared and assessed for four near-future timelines as starting points for the investment. Numerical simulations show the attractiveness of the UniRCon solution in what concerns both system operation costs and supply resilience. Savings are expressed as opportunity savings arising from difference in tariffs while charging and discharging the storage unit and due to the avoidance of curtailment, as well as special taxes for the connection of PV (depending on regulatory environment). An extension of the UniRCon concept is presented also at community scale, with neighbourhood energy exchange inside a resilient cluster.

Suggested Citation

  • Mihai Sanduleac & Irina Ciornei & Mihaela Albu & Lucian Toma & Marta Sturzeanu & João F. Martins, 2017. "Resilient Prosumer Scenario in a Changing Regulatory Environment—The UniRCon Solution," Energies, MDPI, vol. 10(12), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:1941-:d:120067
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    References listed on IDEAS

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    1. Axel Gautier & Julien Jacqmin & Jean-Christophe Poudou, 2018. "The prosumers and the grid," Journal of Regulatory Economics, Springer, vol. 53(1), pages 100-126, February.
    2. Ang Sha & Marco Aiello, 2016. "A Novel Strategy for Optimising Decentralised Energy Exchange for Prosumers," Energies, MDPI, vol. 9(7), pages 1-22, July.
    3. Rodrigo Verschae & Takekazu Kato & Takashi Matsuyama, 2016. "Energy Management in Prosumer Communities: A Coordinated Approach," Energies, MDPI, vol. 9(7), pages 1-27, July.
    4. Georgios C. Christoforidis & Ioannis P. Panapakidis & Theofilos A. Papadopoulos & Grigoris K. Papagiannis & Ioannis Koumparou & Maria Hadjipanayi & George E. Georghiou, 2016. "A Model for the Assessment of Different Net-Metering Policies," Energies, MDPI, vol. 9(4), pages 1-24, April.
    5. Nobre, André M. & Severiano, Carlos A. & Karthik, Shravan & Kubis, Marek & Zhao, Lu & Martins, Fernando R. & Pereira, Enio B. & Rüther, Ricardo & Reindl, Thomas, 2016. "PV power conversion and short-term forecasting in a tropical, densely-built environment in Singapore," Renewable Energy, Elsevier, vol. 94(C), pages 496-509.
    6. Alexander Kies & Bruno U. Schyska & Lueder Von Bremen, 2016. "The Demand Side Management Potential to Balance a Highly Renewable European Power System," Energies, MDPI, vol. 9(11), pages 1-14, November.
    7. Holger C. Hesse & Rodrigo Martins & Petr Musilek & Maik Naumann & Cong Nam Truong & Andreas Jossen, 2017. "Economic Optimization of Component Sizing for Residential Battery Storage Systems," Energies, MDPI, vol. 10(7), pages 1-19, June.
    8. Somi Jung & Dongwoo Kim, 2017. "Pareto-Efficient Capacity Planning for Residential Photovoltaic Generation and Energy Storage with Demand-Side Load Management," Energies, MDPI, vol. 10(4), pages 1-20, March.
    9. Alexander Kies & Bruno U. Schyska & Lueder Von Bremen, 2016. "Curtailment in a Highly Renewable Power System and Its Effect on Capacity Factors," Energies, MDPI, vol. 9(7), pages 1-18, June.
    10. Ottesen, Stig Ødegaard & Tomasgard, Asgeir & Fleten, Stein-Erik, 2016. "Prosumer bidding and scheduling in electricity markets," Energy, Elsevier, vol. 94(C), pages 828-843.
    11. Nan Zhou & Nian Liu & Jianhua Zhang & Jinyong Lei, 2016. "Multi-Objective Optimal Sizing for Battery Storage of PV-Based Microgrid with Demand Response," Energies, MDPI, vol. 9(8), pages 1-24, July.
    12. Zhongwen Li & Chuanzhi Zang & Peng Zeng & Haibin Yu, 2016. "Combined Two-Stage Stochastic Programming and Receding Horizon Control Strategy for Microgrid Energy Management Considering Uncertainty," Energies, MDPI, vol. 9(7), pages 1-16, June.
    13. Wade, N.S. & Taylor, P.C. & Lang, P.D. & Jones, P.R., 2010. "Evaluating the benefits of an electrical energy storage system in a future smart grid," Energy Policy, Elsevier, vol. 38(11), pages 7180-7188, November.
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