This paper addresses the problem of the energy management of cooperative district microgrids: the goal is maximizing the utilization of energy bought at the day-ahead energy market by avoiding the real-time purchase of additional energy. To this purpose the District Energy Management System (DEMS) controls the real-time energy consumption of the district and minimizes additional real-time energy requests. A Linear Programming problem is formulated and solved by the DEMS by optimally integrating renewable energy sources, storage systems and electric vehicles considered energy storages in the district microgrids. A case study enlightens and compares the benefits of the presented strategy.

Optimal energy management integrating renewable energy, energy storage systems and electric vehicles / Fanti, Maria Pia; Mangini, Agostino Marcello; Roccotelli, Michele; Ukovich, Walter. - ELETTRONICO. - (2017), pp. 519-524. (Intervento presentato al convegno 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017 tenutosi a Calabria, Italy nel May 16-18 , 2017) [10.1109/ICNSC.2017.8000146].

Optimal energy management integrating renewable energy, energy storage systems and electric vehicles

Fanti, Maria Pia;Mangini, Agostino Marcello;Roccotelli, Michele;
2017-01-01

Abstract

This paper addresses the problem of the energy management of cooperative district microgrids: the goal is maximizing the utilization of energy bought at the day-ahead energy market by avoiding the real-time purchase of additional energy. To this purpose the District Energy Management System (DEMS) controls the real-time energy consumption of the district and minimizes additional real-time energy requests. A Linear Programming problem is formulated and solved by the DEMS by optimally integrating renewable energy sources, storage systems and electric vehicles considered energy storages in the district microgrids. A case study enlightens and compares the benefits of the presented strategy.
2017
14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017
978-1-5090-4429-0
Optimal energy management integrating renewable energy, energy storage systems and electric vehicles / Fanti, Maria Pia; Mangini, Agostino Marcello; Roccotelli, Michele; Ukovich, Walter. - ELETTRONICO. - (2017), pp. 519-524. (Intervento presentato al convegno 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017 tenutosi a Calabria, Italy nel May 16-18 , 2017) [10.1109/ICNSC.2017.8000146].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/123094
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