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Optimal dispatch of battery energy storage for multi-service provision in a collocated PV power plant considering battery ageing

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  • Bahloul, Mohamed
  • Daoud, Mohamed
  • Khadem, Shafi K.

Abstract

This study explores how a battery energy storage system (BESS) can support photovoltaic (PV) power plant operation by simultaneously minimising the PV power plant (PVPP) clipping losses and providing grid ancillary services. For this purpose, a deterministic day-ahead control strategy is developed while considering both calendar and cycling battery ageing on the BESS multi-value stream. The battery degradation cost model has also been reformulated to integrate the proposed formulation and assess the impact of different ageing aspects. The dispatching problem is reformulated to implement a linear programming approach. It allows to optimally dispatch the power flow between the different system components and schedules the ancillary service provision. The Irish regulation for participating in the Renewable Electricity Support Scheme (RESS) and DS3 grid services markets is considered. A market participation framework has also been identified, and numerical analysis is performed while emulating a real case. The obtained outputs emphasise the value of PV-BESS in providing DS3 grid services and the potential of the multi-service provision to create an additional value from energy storage deployment. The proposed approach and control strategy can also be implemented for other BESS applications in different energy markets.

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  • Bahloul, Mohamed & Daoud, Mohamed & Khadem, Shafi K., 2024. "Optimal dispatch of battery energy storage for multi-service provision in a collocated PV power plant considering battery ageing," Energy, Elsevier, vol. 293(C).
    • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224005164
    DOI: 10.1016/j.energy.2024.130744
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    References listed on IDEAS

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    1. Cardo-Miota, Javier & Trivedi, Rohit & Patra, Sandipan & Khadem, Shafi & Bahloul, Mohamed, 2024. "Data-driven approach for day-ahead System Non-Synchronous Penetration forecasting: A comprehensive framework, model development and analysis," Applied Energy, Elsevier, vol. 362(C).

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