An Optimal Power and Energy Management by Hybrid Energy Storage Systems in Microgrids

Alessandro Serpi, Mario Porru and Alfonso Damiano
Additional contact information
Alessandro Serpi: Department of Electrical and Electronic Engineering, University of Cagliari, I-09123 Cagliari, Italy
Mario Porru: Department of Electrical and Electronic Engineering, University of Cagliari, I-09123 Cagliari, Italy
Alfonso Damiano: Department of Electrical and Electronic Engineering, University of Cagliari, I-09123 Cagliari, Italy

Energies, 2017, vol. 10, issue 11, 1-21

Abstract: A novel optimal power and energy management (OPEM) for centralized hybrid energy storage systems (HESS) in microgrids is presented in this paper. The proposed OPEM aims at providing multiple grid services by suitably exploiting the different power/energy features of electrochemical batteries ( B ) and supercapacitors ( S ). The first part of the paper focuses on the design and analysis of the proposed OPEM, by highlighting the advantages of employing hand-designed solutions based on Pontryagin’s minimum principle rather than resorting to pre-defined optimization tools. Particularly, the B power profile is synthesized optimally over a given time horizon in order to provide both peak shaving and reduced grid energy buffering, while S is employed in order to compensate for short-term forecasting errors and to prevent B from handling sudden and high-frequency power fluctuations. Both the B and S power profiles are computed in real-time in order to benefit from more accurate forecasting, as well as to support each other. Then, the effectiveness of the proposed OPEM is tested through numerical simulations, which have been carried out based on real data from the German island of Borkum. Particularly, an extensive and detailed performance analysis is performed by comparing OPEM with a frequency-based management strategy (FBM) in order to highlight the superior performance achievable by the proposed OPEM in terms of both power and energy management and HESS exploitation.

Keywords: batteries; energy storage; microgrids; optimal control; supercapacitors (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: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.mdpi.com/1996-1073/10/11/1909/pdf (application/pdf)
https://www.mdpi.com/1996-1073/10/11/1909/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:11:p:1909-:d:119661

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().