Optimal Control of Multiple Microgrids and Buildings by an Aggregator
Giulio Ferro,
Riccardo Minciardi,
Luca Parodi,
Michela Robba and
Mansueto Rossi
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Giulio Ferro: DIBRIS, University of Genoa, via Opera Pia 13, 16145 Genova, Italy
Riccardo Minciardi: DIBRIS, University of Genoa, via Opera Pia 13, 16145 Genova, Italy
Luca Parodi: DIBRIS, University of Genoa, via Opera Pia 13, 16145 Genova, Italy
Michela Robba: DIBRIS, University of Genoa, via Opera Pia 13, 16145 Genova, Italy
Mansueto Rossi: DITEN, University of Genoa, via A. Magliotto 2, 17100 Savona, Italy
Energies, 2020, vol. 13, issue 5, 1-23
Abstract:
The electrical grid has been changing in the last decade due to the presence of renewables, distributed generation, storage systems, microgrids, and electric vehicles. The introduction of new legislation and actors in the smart grid’s system opens new challenges for the activities of companies, and for the development of new energy management systems, models, and methods. A new optimization-based bi-level architecture is proposed for an aggregator of consumers in the balancing market, in which incentives for local users (i.e., microgrids, buildings) are considered, as well as flexibility and a fair assignment in reducing the overall load. At the lower level, consumers try to follow the aggregator’s reference values and perform demand response programs to contain their costs and satisfy demands. The approach is applied to a real case study.
Keywords: smart grid; optimization; energy management system; interconnected buildings; renewable resources; multi-level; aggregator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:5:p:1058-:d:325881
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