TY - CONF
T1 - Optimal Planning and Operation Scheduling of Battery Storage Units in Distribution Systems
AU - Mirtaheri, Hamidreza
AU - Bortoletto, Alessandro
AU - Fantino, Maurizio
AU - Mazza, Andrea
AU - Marzband, Mousa
PY - 2019/8/26
Y1 - 2019/8/26
N2 - 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.
AB - 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.
KW - smart grid
KW - storage system
KW - optimization
KW - genetic algorithm
KW - constraint programming
KW - siting
KW - sizingc
KW - scheduling
U2 - 10.1109/PTC.2019.8810421
DO - 10.1109/PTC.2019.8810421
M3 - Paper
T2 - 2019 IEEE Milan PowerTech
Y2 - 23 June 2019 through 27 June 2019
ER -