Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System

Bahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir

doi:10.1109/EI259745.2023.10512676

Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System

Bahman Ahmadi, Oguzhan Ceylan, Aydogan Ozdemir

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

1 Citation (Scopus)

21 Downloads (Pure)

Abstract

This research proposes an expansion planning frame-work that determines the optimal number, location, size, and type of distributed generators (DGs) and the number, capacity, location, and operation of mobile battery energy storage systems (MBESSs) in the distribution networks to improve the voltage profiles. The framework is applied to IEEE 33-bus and 69-bus standard test systems. The framework uses the advanced grey-wolf optimization (AGWO) developed to deal with mixed-integer nonlinear programming problems and the forward-backward sweep power flow method to determine the optimal control parameters defined for the problem. This study shows that the proposed framework enables the allocation and operation of DG and MBESS units to eliminate all voltage violations. Moreover, a clear roadmap is proposed for the size and location of DG units in the system and guidelines for the monthly location of MBESS.

Original language	English
Title of host publication	2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	368-373
Number of pages	6
ISBN (Electronic)	979-8-3503-4509-4, 979-8-3503-4508-7 (USB)
ISBN (Print)	979-8-3503-4510-0
DOIs	https://doi.org/10.1109/EI259745.2023.10512676
Publication status	Published - 2023
Event	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 - Hangzhou, China Duration: 15 Dec 2023 → 18 Dec 2023 Conference number: 7

Conference

Conference	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023
Abbreviated title	EI2
Country/Territory	China
City	Hangzhou
Period	15/12/23 → 18/12/23

Keywords

2025 OA procedure
Mobile battery energy storage system
Optimization
Seasonal battery allocation
Voltage violations
DG penetration

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10.1109/EI259745.2023.10512676

ArticleFinal published version, 1.57 MBLicence: Taverne

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title = "Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System",

abstract = "This research proposes an expansion planning frame-work that determines the optimal number, location, size, and type of distributed generators (DGs) and the number, capacity, location, and operation of mobile battery energy storage systems (MBESSs) in the distribution networks to improve the voltage profiles. The framework is applied to IEEE 33-bus and 69-bus standard test systems. The framework uses the advanced grey-wolf optimization (AGWO) developed to deal with mixed-integer nonlinear programming problems and the forward-backward sweep power flow method to determine the optimal control parameters defined for the problem. This study shows that the proposed framework enables the allocation and operation of DG and MBESS units to eliminate all voltage violations. Moreover, a clear roadmap is proposed for the size and location of DG units in the system and guidelines for the monthly location of MBESS.",

keywords = "2025 OA procedure, Mobile battery energy storage system, Optimization, Seasonal battery allocation, Voltage violations, DG penetration",

author = "Bahman Ahmadi and Oguzhan Ceylan and Aydogan Ozdemir",

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doi = "10.1109/EI259745.2023.10512676",

language = "English",

isbn = "979-8-3503-4510-0",

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Ahmadi, B, Ceylan, O & Ozdemir, A 2023, Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System. in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. IEEE, Piscataway, NJ, pp. 368-373, 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023, Hangzhou, China, 15/12/23. https://doi.org/10.1109/EI259745.2023.10512676

Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System. / Ahmadi, Bahman; Ceylan, Oguzhan; Ozdemir, Aydogan.
2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Piscataway, NJ: IEEE, 2023. p. 368-373.

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

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AU - Ozdemir, Aydogan

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N2 - This research proposes an expansion planning frame-work that determines the optimal number, location, size, and type of distributed generators (DGs) and the number, capacity, location, and operation of mobile battery energy storage systems (MBESSs) in the distribution networks to improve the voltage profiles. The framework is applied to IEEE 33-bus and 69-bus standard test systems. The framework uses the advanced grey-wolf optimization (AGWO) developed to deal with mixed-integer nonlinear programming problems and the forward-backward sweep power flow method to determine the optimal control parameters defined for the problem. This study shows that the proposed framework enables the allocation and operation of DG and MBESS units to eliminate all voltage violations. Moreover, a clear roadmap is proposed for the size and location of DG units in the system and guidelines for the monthly location of MBESS.

AB - This research proposes an expansion planning frame-work that determines the optimal number, location, size, and type of distributed generators (DGs) and the number, capacity, location, and operation of mobile battery energy storage systems (MBESSs) in the distribution networks to improve the voltage profiles. The framework is applied to IEEE 33-bus and 69-bus standard test systems. The framework uses the advanced grey-wolf optimization (AGWO) developed to deal with mixed-integer nonlinear programming problems and the forward-backward sweep power flow method to determine the optimal control parameters defined for the problem. This study shows that the proposed framework enables the allocation and operation of DG and MBESS units to eliminate all voltage violations. Moreover, a clear roadmap is proposed for the size and location of DG units in the system and guidelines for the monthly location of MBESS.

KW - 2025 OA procedure

KW - Mobile battery energy storage system

KW - Optimization

KW - Seasonal battery allocation

KW - Voltage violations

KW - DG penetration

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BT - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

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ER -

Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System

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