Mirtaheri, Hamidreza, Bortoletto, Alessandro, Fantino, Maurizio, Mazza, Andrea and Marzband, Mousa (2019) Optimal Planning and Operation Scheduling of Battery Storage Units in Distribution Systems. In: 2019 IEEE Milan PowerTech, 23rd - 27th June 2019, Milan, Italy.
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Mirtaheri et al - Optimal Planning and Operation Scheduling of Battery Storage Units in Distribution Systems AAM.pdf - Accepted Version Download (274kB) | Preview |
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.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | smart grid, storage system, optimization, genetic algorithm, constraint programming, siting, sizing, scheduling |
Subjects: | H600 Electronic and Electrical Engineering H800 Chemical, Process and Energy Engineering |
Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
Depositing User: | Paul Burns |
Date Deposited: | 13 Sep 2019 08:56 |
Last Modified: | 01 Aug 2021 10:31 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/40673 |
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