In the last years, the electricity system has been subject to a paradigm change, due to increasing share of installed renewable energy sources-based power plants. This fact is leading electrical system - which proper operation was however affected by the intermittent nature of renewables - to become more “green”. The union of energy chain de-carbonization with service reliability opens new opportunities for storage systems, although their relatively high cost highlighted the importance of optimal decisions in sizing, placing and operation of such systems. For addressing these aspects, appropriate mathematical models and optimization methods are needed: in this paper, a novel and efficient hybrid optimization algorithm is introduced, to solve i) sizing, ii) placement and iii) operation of arbitrary storage systems. This method is then applied to a low voltage grid, to demonstrate the effectiveness of the proposed methodology.

Optimal Planning and Operation Scheduling of Battery Storage Units in Distribution Systems / Mirtaheri, Hamidreza; Bortoletto, Alessandro; Fantino, Maurizio; Mazza, Andrea; Marzband, Mousa. - ELETTRONICO. - (2019), pp. 1-6. (Intervento presentato al convegno 2019 IEEE Milan PowerTech tenutosi a Milano nel 23-27 June 2019) [10.1109/PTC.2019.8810421].

Optimal Planning and Operation Scheduling of Battery Storage Units in Distribution Systems

Bortoletto, Alessandro;Fantino, Maurizio;Mazza, Andrea;
2019

Abstract

In the last years, the electricity system has been subject to a paradigm change, due to increasing share of installed renewable energy sources-based power plants. This fact is leading electrical system - which proper operation was however affected by the intermittent nature of renewables - to become more “green”. The union of energy chain de-carbonization with service reliability opens new opportunities for storage systems, although their relatively high cost highlighted the importance of optimal decisions in sizing, placing and operation of such systems. For addressing these aspects, appropriate mathematical models and optimization methods are needed: in this paper, a novel and efficient hybrid optimization algorithm is introduced, to solve i) sizing, ii) placement and iii) operation of arbitrary storage systems. This method is then applied to a low voltage grid, to demonstrate the effectiveness of the proposed methodology.
2019
978-1-5386-4722-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2751853