An optimal day-ahead operation strategy for hybrid energy microgrid

Mohamed Elgamal; Nikolay V. Korovkin; Ahmed Refaat; Akram Elmitwally

doi:10.1109/EIConRus.2019.8657280

An optimal day-ahead operation strategy for hybrid energy microgrid

Mohamed Elgamal
, Nikolay V. Korovkin
, Ahmed Refaat
, Akram Elmitwally

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

This paper proposes a strategy for optimal day-ahead operation of a microgrid. The latter includes hybrid energy resources and an energy storage system (ESS). The forecasted day-ahead hourly average of metrological data and loads are fed into the energy management system (EMS). Accordingly, it decides the day-ahead hourly active and reactive power shares of each energy source. It also identifies the ESS charging/discharging periods and the tap setting of the main grid coupling transformer. The overall objective is to maximize the microgrid profit satisfying all constraints. The microgrid purchases/sells active and reactive powers from/to the main grid with time-varying energy price. The day-ahead operation of the microgrid is formulated as an optimization problem solved by a combined rule base - heuristic approach. The modified particle swarm optimization (PSO) technique is used as optimization solver. Moreover, the efficacy of the proposed EMS is verified by performance comparison to recent literature.

Original language	English
Title of host publication	Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019
Editors	S. Shaposhnikov
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	489-494
Number of pages	6
ISBN (Electronic)	9781728103396
DOIs	https://doi.org/10.1109/EIConRus.2019.8657280
State	Published - 28 Feb 2019
Externally published	Yes
Event	2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019 - Saint Petersburg and Moscow, Russian Federation Duration: 28 Jan 2019 → 30 Jan 2019

Publication series

Name	Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019

Conference

Conference	2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019
Country/Territory	Russian Federation
City	Saint Petersburg and Moscow
Period	28/01/19 → 30/01/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE

Keywords

Energy management
Energy storage
Optimization
Renewable generation

ASJC Scopus subject areas

Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Electronic, Optical and Magnetic Materials
Instrumentation
Radiation
Computer Networks and Communications
Hardware and Architecture
Energy Engineering and Power Technology

Access to Document

10.1109/EIConRus.2019.8657280

Cite this

Elgamal, M., Korovkin, N. V., Refaat, A., & Elmitwally, A. (2019). An optimal day-ahead operation strategy for hybrid energy microgrid. In S. Shaposhnikov (Ed.), Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019 (pp. 489-494). Article 8657280 (Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EIConRus.2019.8657280

Elgamal, Mohamed ; Korovkin, Nikolay V. ; Refaat, Ahmed et al. / An optimal day-ahead operation strategy for hybrid energy microgrid. Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. editor / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 489-494 (Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019).

@inproceedings{c815f6c8c5a8467183c33d3eea817117,

title = "An optimal day-ahead operation strategy for hybrid energy microgrid",

abstract = "This paper proposes a strategy for optimal day-ahead operation of a microgrid. The latter includes hybrid energy resources and an energy storage system (ESS). The forecasted day-ahead hourly average of metrological data and loads are fed into the energy management system (EMS). Accordingly, it decides the day-ahead hourly active and reactive power shares of each energy source. It also identifies the ESS charging/discharging periods and the tap setting of the main grid coupling transformer. The overall objective is to maximize the microgrid profit satisfying all constraints. The microgrid purchases/sells active and reactive powers from/to the main grid with time-varying energy price. The day-ahead operation of the microgrid is formulated as an optimization problem solved by a combined rule base - heuristic approach. The modified particle swarm optimization (PSO) technique is used as optimization solver. Moreover, the efficacy of the proposed EMS is verified by performance comparison to recent literature.",

keywords = "Energy management, Energy storage, Optimization, Renewable generation",

author = "Mohamed Elgamal and Korovkin, \{Nikolay V.\} and Ahmed Refaat and Akram Elmitwally",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE; 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019 ; Conference date: 28-01-2019 Through 30-01-2019",

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doi = "10.1109/EIConRus.2019.8657280",

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Elgamal, M, Korovkin, NV, Refaat, A & Elmitwally, A 2019, An optimal day-ahead operation strategy for hybrid energy microgrid. in S Shaposhnikov (ed.), Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019., 8657280, Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019, Institute of Electrical and Electronics Engineers Inc., pp. 489-494, 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019, Saint Petersburg and Moscow, Russian Federation, 28/01/19. https://doi.org/10.1109/EIConRus.2019.8657280

An optimal day-ahead operation strategy for hybrid energy microgrid. / Elgamal, Mohamed; Korovkin, Nikolay V.; Refaat, Ahmed et al.
Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. ed. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2019. p. 489-494 8657280 (Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Elgamal, Mohamed

AU - Korovkin, Nikolay V.

AU - Refaat, Ahmed

AU - Elmitwally, Akram

PY - 2019/2/28

Y1 - 2019/2/28

N2 - This paper proposes a strategy for optimal day-ahead operation of a microgrid. The latter includes hybrid energy resources and an energy storage system (ESS). The forecasted day-ahead hourly average of metrological data and loads are fed into the energy management system (EMS). Accordingly, it decides the day-ahead hourly active and reactive power shares of each energy source. It also identifies the ESS charging/discharging periods and the tap setting of the main grid coupling transformer. The overall objective is to maximize the microgrid profit satisfying all constraints. The microgrid purchases/sells active and reactive powers from/to the main grid with time-varying energy price. The day-ahead operation of the microgrid is formulated as an optimization problem solved by a combined rule base - heuristic approach. The modified particle swarm optimization (PSO) technique is used as optimization solver. Moreover, the efficacy of the proposed EMS is verified by performance comparison to recent literature.

AB - This paper proposes a strategy for optimal day-ahead operation of a microgrid. The latter includes hybrid energy resources and an energy storage system (ESS). The forecasted day-ahead hourly average of metrological data and loads are fed into the energy management system (EMS). Accordingly, it decides the day-ahead hourly active and reactive power shares of each energy source. It also identifies the ESS charging/discharging periods and the tap setting of the main grid coupling transformer. The overall objective is to maximize the microgrid profit satisfying all constraints. The microgrid purchases/sells active and reactive powers from/to the main grid with time-varying energy price. The day-ahead operation of the microgrid is formulated as an optimization problem solved by a combined rule base - heuristic approach. The modified particle swarm optimization (PSO) technique is used as optimization solver. Moreover, the efficacy of the proposed EMS is verified by performance comparison to recent literature.

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KW - Energy storage

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BT - Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019

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Y2 - 28 January 2019 through 30 January 2019

ER -

Elgamal M, Korovkin NV, Refaat A, Elmitwally A. An optimal day-ahead operation strategy for hybrid energy microgrid. In Shaposhnikov S, editor, Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 489-494. 8657280. (Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019). doi: 10.1109/EIConRus.2019.8657280

An optimal day-ahead operation strategy for hybrid energy microgrid

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this