Bi-level Optimization of Mobile Energy Storage System Allocation and Scheduling for Grid Stability and Peak Load Reduction

Paco B.C. Verhoef; Bahman Ahmadi; Elham Shirazi

doi:10.1109/EI264398.2024.10991884

Bi-level Optimization of Mobile Energy Storage System Allocation and Scheduling for Grid Stability and Peak Load Reduction

Paco B.C. Verhoef^*
, Bahman Ahmadi
, Elham Shirazi

^*Corresponding author for this work

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

Abstract

This research examines Mobile Energy Storage Systems (MESS) for improving grid stability and peak shaving in electrical networks. It employs a bi-level optimization approach based on different optimization methods to determine optimal MESS location and operation strategies. Tested across various monthly/seasonal scenarios, this approach is applied to the IEEE 33 bus and 141 bus test systems, considering real data for the consumption behavior of the nodes.

Original language	English
Title of host publication	2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024
Publisher	IEEE
Pages	1077-1082
Number of pages	6
ISBN (Electronic)	9798331523527
DOIs	https://doi.org/10.1109/EI264398.2024.10991884
Publication status	Published - 15 May 2025
Event	8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024 - Shenyang, China Duration: 29 Nov 2024 → 2 Dec 2024 Conference number: 8

Conference

Conference	8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024
Abbreviated title	EI2 2024
Country/Territory	China
City	Shenyang
Period	29/11/24 → 2/12/24

Keywords

2025 OA procedure
Grid Stability
Mobile Energy Storage
Peak Shaving
Renewable Energy
Bi-level Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EI264398.2024.10991884

Bi-level_Optimization_of_Mobile_Energy_Storage_System_Allocation_and_Scheduling_for_Grid_Stability_and_Peak_Load_ReductionFinal published version, 2.12 MBLicence: Taverne

Cite this

@inproceedings{f57d2326b1fa4b4eb07a7628fb20b27e,

title = "Bi-level Optimization of Mobile Energy Storage System Allocation and Scheduling for Grid Stability and Peak Load Reduction",

abstract = "This research examines Mobile Energy Storage Systems (MESS) for improving grid stability and peak shaving in electrical networks. It employs a bi-level optimization approach based on different optimization methods to determine optimal MESS location and operation strategies. Tested across various monthly/seasonal scenarios, this approach is applied to the IEEE 33 bus and 141 bus test systems, considering real data for the consumption behavior of the nodes.",

keywords = "2025 OA procedure, Grid Stability, Mobile Energy Storage, Peak Shaving, Renewable Energy, Bi-level Optimization",

author = "Verhoef, \{Paco B.C.\} and Bahman Ahmadi and Elham Shirazi",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024, EI2 2024 ; Conference date: 29-11-2024 Through 02-12-2024",

year = "2025",

month = may,

day = "15",

doi = "10.1109/EI264398.2024.10991884",

language = "English",

pages = "1077--1082",

booktitle = "2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024",

publisher = "IEEE",

address = "United States",

}

Verhoef, PBC, Ahmadi, B & Shirazi, E 2025, Bi-level Optimization of Mobile Energy Storage System Allocation and Scheduling for Grid Stability and Peak Load Reduction. in 2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024. IEEE, pp. 1077-1082, 8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024, Shenyang, China, 29/11/24. https://doi.org/10.1109/EI264398.2024.10991884

Bi-level Optimization of Mobile Energy Storage System Allocation and Scheduling for Grid Stability and Peak Load Reduction. / Verhoef, Paco B.C.; Ahmadi, Bahman; Shirazi, Elham.
2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024. IEEE, 2025. p. 1077-1082.

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

TY - GEN

T1 - Bi-level Optimization of Mobile Energy Storage System Allocation and Scheduling for Grid Stability and Peak Load Reduction

AU - Verhoef, Paco B.C.

AU - Ahmadi, Bahman

AU - Shirazi, Elham

N1 - Conference code: 8

PY - 2025/5/15

Y1 - 2025/5/15

N2 - This research examines Mobile Energy Storage Systems (MESS) for improving grid stability and peak shaving in electrical networks. It employs a bi-level optimization approach based on different optimization methods to determine optimal MESS location and operation strategies. Tested across various monthly/seasonal scenarios, this approach is applied to the IEEE 33 bus and 141 bus test systems, considering real data for the consumption behavior of the nodes.

AB - This research examines Mobile Energy Storage Systems (MESS) for improving grid stability and peak shaving in electrical networks. It employs a bi-level optimization approach based on different optimization methods to determine optimal MESS location and operation strategies. Tested across various monthly/seasonal scenarios, this approach is applied to the IEEE 33 bus and 141 bus test systems, considering real data for the consumption behavior of the nodes.

KW - 2025 OA procedure

KW - Grid Stability

KW - Mobile Energy Storage

KW - Peak Shaving

KW - Renewable Energy

KW - Bi-level Optimization

UR - https://www.scopus.com/pages/publications/105007608923

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DO - 10.1109/EI264398.2024.10991884

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EP - 1082

BT - 2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024

PB - IEEE

T2 - 8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024

Y2 - 29 November 2024 through 2 December 2024

ER -

Bi-level Optimization of Mobile Energy Storage System Allocation and Scheduling for Grid Stability and Peak Load Reduction

Abstract

Conference

Keywords

UN SDGs

Access to Document

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