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Authors: Gabriella Dellino 1 ; Carlo Meloni 2 and Saverio Mascolo 3

Affiliations: 1 Istituto per le Applicazioni del Calcolo (IAC) – CNR, Italy ; 2 Istituto per le Applicazioni del Calcolo (IAC) – CNR and Politecnico di Bari, Italy ; 3 Politecnico di Bari, Italy

Keyword(s): Optimal Power Flow, Energy Storage, Smart Grids, Planning, Optimization, Uncertainties.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Energy and Environment ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Linear Programming ; Management Sciences ; Mathematical Modeling ; Methodologies and Technologies ; Operational Research ; Optimization ; Pattern Recognition ; Software Engineering ; Symbolic Systems

Abstract: The Optimal Power Flow problem (OPF) plays a crucial role in the successful energy management of modern smart grids. The diffusion of renewable energy sources poses new challenges to the power grid in which integrated energy storage combined with green generation solutions can help to address challenges associated with both power supply and demand variability. This work refers to a smart grid context and proposes a time indexed OPF model considering storage dynamics, adopting a preference-based optimization method with chance constraints to provide a suitable service level.

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Paper citation in several formats:
Dellino, G.; Meloni, C. and Mascolo, S. (2015). A Linear Physical Programming Approach to Power Flow and Energy Storage Optimization in Smart Grids Models. In Proceedings of the International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-075-8; ISSN 2184-4372, SciTePress, pages 224-231. DOI: 10.5220/0005293602240231

@conference{icores15,
author={Gabriella Dellino. and Carlo Meloni. and Saverio Mascolo.},
title={A Linear Physical Programming Approach to Power Flow and Energy Storage Optimization in Smart Grids Models},
booktitle={Proceedings of the International Conference on Operations Research and Enterprise Systems - ICORES},
year={2015},
pages={224-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005293602240231},
isbn={978-989-758-075-8},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the International Conference on Operations Research and Enterprise Systems - ICORES
TI - A Linear Physical Programming Approach to Power Flow and Energy Storage Optimization in Smart Grids Models
SN - 978-989-758-075-8
IS - 2184-4372
AU - Dellino, G.
AU - Meloni, C.
AU - Mascolo, S.
PY - 2015
SP - 224
EP - 231
DO - 10.5220/0005293602240231
PB - SciTePress

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