Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems

Mohammad Sadegh  Javadi; Amjad Anvari-Moghaddam; Josep M. Guerrero

doi:10.1109/EEEIC.2017.7977520

Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems

Mohammad Sadegh Javadi, Amjad Anvari-Moghaddam, Josep M. Guerrero

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

50 Citations (Scopus)

34 Downloads (Pure)

Abstract

This paper introduces a management model for optimal scheduling of a multi-carrier energy hub. In the proposed hub, three types of assets are considered: dispersed generating systems (DGs) such as micro-combined heat and power (mCHP) units, storage devices such as battery-based electrical storage systems (ESSs), and heating/cooling devices such as electrical heater, heat-pumps and absorption chillers. The optimal scheduling and management of the examined energy hub assets in line with electrical transactions with distribution network is modeled as a mixed-integer non-linear optimization problem. In this regard, optimal operating points of DG units as well as ESSs are calculated based on a cost-effective strategy. Degradation cost of ESSs is also taken into consideration for short-term scheduling. Simulation results demonstrate that including well-planned energy storage options together with optimal scheduling of generating units can improve the economic operation of the multi-carrier energy hub while meeting the system’s constraints.

Original language	English
Title of host publication	Proceedings of 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Number of pages	6
Publisher	IEEE Press
Publication date	Jun 2017
Pages	1-6
ISBN (Electronic)	978-1-5386-3917-7
DOIs	https://doi.org/10.1109/EEEIC.2017.7977520
Publication status	Published - Jun 2017
Event	2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) - Milano, Italy Duration: 6 Jun 2017 → 9 Jun 2017

Conference

Conference	2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Country/Territory	Italy
City	Milano
Period	06/06/2017 → 09/06/2017

Keywords

Optimal scheduling
Multi-carrier energy hub
Energy storage system
Distributed generation
Degradation cost

Access to Document

10.1109/EEEIC.2017.7977520

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

Javadi, M. S., Anvari-Moghaddam, A., & Guerrero, J. M. (2017). Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems. In Proceedings of 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) (pp. 1-6). IEEE Press. https://doi.org/10.1109/EEEIC.2017.7977520

Javadi, Mohammad Sadegh ; Anvari-Moghaddam, Amjad ; Guerrero, Josep M. / Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems. Proceedings of 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE Press, 2017. pp. 1-6

@inproceedings{5a41c85b32274f8e98dd6f0b3f619fb6,

title = "Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems",

abstract = "This paper introduces a management model for optimal scheduling of a multi-carrier energy hub. In the proposed hub, three types of assets are considered: dispersed generating systems (DGs) such as micro-combined heat and power (mCHP) units, storage devices such as battery-based electrical storage systems (ESSs), and heating/cooling devices such as electrical heater, heat-pumps and absorption chillers. The optimal scheduling and management of the examined energy hub assets in line with electrical transactions with distribution network is modeled as a mixed-integer non-linear optimization problem. In this regard, optimal operating points of DG units as well as ESSs are calculated based on a cost-effective strategy. Degradation cost of ESSs is also taken into consideration for short-term scheduling. Simulation results demonstrate that including well-planned energy storage options together with optimal scheduling of generating units can improve the economic operation of the multi-carrier energy hub while meeting the system{\textquoteright}s constraints.",

keywords = "Optimal scheduling, Multi-carrier energy hub, Energy storage system, Distributed generation, Degradation cost",

author = "Javadi, {Mohammad Sadegh} and Amjad Anvari-Moghaddam and Guerrero, {Josep M.}",

year = "2017",

month = jun,

doi = "10.1109/EEEIC.2017.7977520",

language = "English",

pages = "1--6",

booktitle = "Proceedings of 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)",

publisher = "IEEE Press",

note = "2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) ; Conference date: 06-06-2017 Through 09-06-2017",

}

Javadi, MS, Anvari-Moghaddam, A & Guerrero, JM 2017, Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems. in Proceedings of 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE Press, pp. 1-6, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Milano, Italy, 06/06/2017. https://doi.org/10.1109/EEEIC.2017.7977520

Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems. / Javadi, Mohammad Sadegh ; Anvari-Moghaddam, Amjad ; Guerrero, Josep M.
Proceedings of 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE Press, 2017. p. 1-6.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems

AU - Javadi, Mohammad Sadegh

AU - Anvari-Moghaddam, Amjad

AU - Guerrero, Josep M.

PY - 2017/6

Y1 - 2017/6

N2 - This paper introduces a management model for optimal scheduling of a multi-carrier energy hub. In the proposed hub, three types of assets are considered: dispersed generating systems (DGs) such as micro-combined heat and power (mCHP) units, storage devices such as battery-based electrical storage systems (ESSs), and heating/cooling devices such as electrical heater, heat-pumps and absorption chillers. The optimal scheduling and management of the examined energy hub assets in line with electrical transactions with distribution network is modeled as a mixed-integer non-linear optimization problem. In this regard, optimal operating points of DG units as well as ESSs are calculated based on a cost-effective strategy. Degradation cost of ESSs is also taken into consideration for short-term scheduling. Simulation results demonstrate that including well-planned energy storage options together with optimal scheduling of generating units can improve the economic operation of the multi-carrier energy hub while meeting the system’s constraints.

AB - This paper introduces a management model for optimal scheduling of a multi-carrier energy hub. In the proposed hub, three types of assets are considered: dispersed generating systems (DGs) such as micro-combined heat and power (mCHP) units, storage devices such as battery-based electrical storage systems (ESSs), and heating/cooling devices such as electrical heater, heat-pumps and absorption chillers. The optimal scheduling and management of the examined energy hub assets in line with electrical transactions with distribution network is modeled as a mixed-integer non-linear optimization problem. In this regard, optimal operating points of DG units as well as ESSs are calculated based on a cost-effective strategy. Degradation cost of ESSs is also taken into consideration for short-term scheduling. Simulation results demonstrate that including well-planned energy storage options together with optimal scheduling of generating units can improve the economic operation of the multi-carrier energy hub while meeting the system’s constraints.

KW - Optimal scheduling

KW - Multi-carrier energy hub

KW - Energy storage system

KW - Distributed generation

KW - Degradation cost

U2 - 10.1109/EEEIC.2017.7977520

DO - 10.1109/EEEIC.2017.7977520

M3 - Article in proceeding

SP - 1

EP - 6

BT - Proceedings of 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

PB - IEEE Press

T2 - 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

Y2 - 6 June 2017 through 9 June 2017

ER -

Javadi MS, Anvari-Moghaddam A , Guerrero JM. Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems. In Proceedings of 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE Press. 2017. p. 1-6 doi: 10.1109/EEEIC.2017.7977520

Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems

Abstract

Conference

Keywords

Access to Document

AUB Link

Fingerprint

Cite this