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Optimal sizing and management strategy for PV household-prosumers with self-consumption/sufficiency enhancement and provision of frequency containment reserve

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  • Hernández, J.C.
  • Sanchez-Sutil, F.
  • Muñoz-Rodríguez, F.J.
  • Baier, C.R.

Abstract

This study provides a methodology to assess the techno-economic performance of photovoltaic household-prosumers that jointly provide self-consumption/sufficiency enhancement (SCSE) and frequency containment reserve (FCR). It thus addresses the following issues: (i) battery aging; (ii) supercapacitors joined to batteries building hybrid storage systems; (iii) management strategies of SCSE and charge level in energy storage systems; (iv) an integrated system with a 1-ms simulation step and high-resolution inputs. The methodology was applied to one Spanish household-prosumer. The study compared three charge-level management strategies by using different technical and economic performance indicators and concluded that the deadband recovery was the best. Moreover, the best techno-economic indicators were achieved by broadening the storage capacity band of unrestricted operation for SCSE (30–90%). Regarding the prosumer sizing, the optimal converter-battery configuration was determined so as to minimize the total energy supply cost. Long-term performance confirmed that when FCR provision was added to the SCSE, profitability increased up to 14.01%, with a relatively low impact on battery aging. A sensitivity analysis guaranteed a cost reduction of 3.68% for the prosumer energy and of 16% for the storage system life cycle at the optimal hybrid storage sizing. This sizing involved a 1% supercapacitor hybridization and a time constant of 150 s for power splitting.

Suggested Citation

  • Hernández, J.C. & Sanchez-Sutil, F. & Muñoz-Rodríguez, F.J. & Baier, C.R., 2020. "Optimal sizing and management strategy for PV household-prosumers with self-consumption/sufficiency enhancement and provision of frequency containment reserve," Applied Energy, Elsevier, vol. 277(C).
  • Handle: RePEc:eee:appene:v:277:y:2020:i:c:s0306261920310412
    DOI: 10.1016/j.apenergy.2020.115529
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    21. Attia, Ahmed M. & Al Hanbali, Ahmad & Saleh, Haitham H. & Alsawafy, Omar G. & Ghaithan, Ahmed M. & Mohammed, Awsan, 2021. "A multi-objective optimization model for sizing decisions of a grid-connected photovoltaic system," Energy, Elsevier, vol. 229(C).

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