Multi-Objective Optimization Framework for Integration of Distributed Energy Resources in Smart Communities

Bahman Ahmadi; Aditya Pappu; Gerwin Hoogsteen; Johann L. Hurink

doi:10.1109/UPEC55022.2022.9917732

Multi-Objective Optimization Framework for Integration of Distributed Energy Resources in Smart Communities

Bahman Ahmadi, Aditya Pappu, Gerwin Hoogsteen, Johann L. Hurink

Mathematics of Operations Research

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

2 Citations (Scopus)

93 Downloads (Pure)

Abstract

This paper studies a multi-objective optimization problem on the allocation problem of photovoltaic (PV) and battery energy storage systems (BESSs) in a community, whereby the aim is to find Pareto optimal solutions according to two different set of objective functions. These objective functions are minimizing the dependency of the whole community or each household on the national grid and minimizing the investment, operation, and maintenance costs of PV and BESS units. A Parallel Multi-Objective Multi-Verse optimization (PMOMVO) algorithm is developed to obtain the Pareto optimal solutions for the problems. The optimization framework is used to determine all Pareto front solutions in a real community and the results are compared to the base case scenario of the community. The Pareto solutions show that by small investment in the BESS units, community can be less dependent on the national grid even with less PV panels installed in the community.

Original language	English
Title of host publication	2022 57th International Universities Power Engineering Conference
Subtitle of host publication	Big Data and Smart Grids, UPEC 2022 - Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
ISBN (Electronic)	978-1-6654-5505-3
ISBN (Print)	978-1-6654-5506-0
DOIs	https://doi.org/10.1109/UPEC55022.2022.9917732
Publication status	Published - 18 Oct 2022
Event	57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 - Istanbul, Turkey Duration: 30 Aug 2022 → 2 Sept 2022 Conference number: 57

Conference

Conference	57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022
Abbreviated title	UPEC 2022
Country/Territory	Turkey
City	Istanbul
Period	30/08/22 → 2/09/22

Keywords

Energy storage
Optimization
Parallel computation
PV allocation problem
Smart grids
22/4 OA procedure

UN SDGs

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

Access to Document

10.1109/UPEC55022.2022.9917732

ArticleFinal published version, 872 KBLicence: Taverne

Cite this

@inproceedings{a459b3b049984bea9afb38004ca0fd24,

title = "Multi-Objective Optimization Framework for Integration of Distributed Energy Resources in Smart Communities",

abstract = "This paper studies a multi-objective optimization problem on the allocation problem of photovoltaic (PV) and battery energy storage systems (BESSs) in a community, whereby the aim is to find Pareto optimal solutions according to two different set of objective functions. These objective functions are minimizing the dependency of the whole community or each household on the national grid and minimizing the investment, operation, and maintenance costs of PV and BESS units. A Parallel Multi-Objective Multi-Verse optimization (PMOMVO) algorithm is developed to obtain the Pareto optimal solutions for the problems. The optimization framework is used to determine all Pareto front solutions in a real community and the results are compared to the base case scenario of the community. The Pareto solutions show that by small investment in the BESS units, community can be less dependent on the national grid even with less PV panels installed in the community. ",

keywords = "Energy storage, Optimization, Parallel computation, PV allocation problem, Smart grids, 22/4 OA procedure",

author = "Bahman Ahmadi and Aditya Pappu and Gerwin Hoogsteen and Hurink, {Johann L.}",

note = "Funding Information: This research is funded as a part of EU HORIZON 2020 - Sustainable and Integrated Energy Systems in Local Communities (SERENE) project and Sustainable Energy System for Achieving Novel Carbon neutral Energy Communities (SUSTENANCE) project Funding Information: ACKNOWLEDGMENT This research is funded as a part of ”EU HORIZON 2020 – Sustainable and Integrated Energy Systems in Local Communities (SERENE)” project and ”Sustainable Energy System for Achieving Novel Carbon neutral Energy Communities (SUSTENANCE)” project. Publisher Copyright: {\textcopyright} 2022 IEEE.; 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022, UPEC 2022 ; Conference date: 30-08-2022 Through 02-09-2022",

year = "2022",

month = oct,

day = "18",

doi = "10.1109/UPEC55022.2022.9917732",

language = "English",

isbn = "978-1-6654-5506-0",

booktitle = "2022 57th International Universities Power Engineering Conference",

publisher = "IEEE",

address = "United States",

}

Ahmadi, B, Pappu, A, Hoogsteen, G & Hurink, JL 2022, Multi-Objective Optimization Framework for Integration of Distributed Energy Resources in Smart Communities. in 2022 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 - Proceedings., 9917732, IEEE, Piscataway, NJ, 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022, Istanbul, Turkey, 30/08/22. https://doi.org/10.1109/UPEC55022.2022.9917732

Multi-Objective Optimization Framework for Integration of Distributed Energy Resources in Smart Communities. / Ahmadi, Bahman; Pappu, Aditya; Hoogsteen, Gerwin et al.
2022 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 - Proceedings. Piscataway, NJ: IEEE, 2022. 9917732.

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

TY - GEN

T1 - Multi-Objective Optimization Framework for Integration of Distributed Energy Resources in Smart Communities

AU - Ahmadi, Bahman

AU - Pappu, Aditya

AU - Hoogsteen, Gerwin

AU - Hurink, Johann L.

N1 - Conference code: 57

PY - 2022/10/18

Y1 - 2022/10/18

N2 - This paper studies a multi-objective optimization problem on the allocation problem of photovoltaic (PV) and battery energy storage systems (BESSs) in a community, whereby the aim is to find Pareto optimal solutions according to two different set of objective functions. These objective functions are minimizing the dependency of the whole community or each household on the national grid and minimizing the investment, operation, and maintenance costs of PV and BESS units. A Parallel Multi-Objective Multi-Verse optimization (PMOMVO) algorithm is developed to obtain the Pareto optimal solutions for the problems. The optimization framework is used to determine all Pareto front solutions in a real community and the results are compared to the base case scenario of the community. The Pareto solutions show that by small investment in the BESS units, community can be less dependent on the national grid even with less PV panels installed in the community.

AB - This paper studies a multi-objective optimization problem on the allocation problem of photovoltaic (PV) and battery energy storage systems (BESSs) in a community, whereby the aim is to find Pareto optimal solutions according to two different set of objective functions. These objective functions are minimizing the dependency of the whole community or each household on the national grid and minimizing the investment, operation, and maintenance costs of PV and BESS units. A Parallel Multi-Objective Multi-Verse optimization (PMOMVO) algorithm is developed to obtain the Pareto optimal solutions for the problems. The optimization framework is used to determine all Pareto front solutions in a real community and the results are compared to the base case scenario of the community. The Pareto solutions show that by small investment in the BESS units, community can be less dependent on the national grid even with less PV panels installed in the community.

KW - Energy storage

KW - Optimization

KW - Parallel computation

KW - PV allocation problem

KW - Smart grids

KW - 22/4 OA procedure

UR - http://www.scopus.com/inward/record.url?scp=85141480512&partnerID=8YFLogxK

U2 - 10.1109/UPEC55022.2022.9917732

DO - 10.1109/UPEC55022.2022.9917732

M3 - Conference contribution

SN - 978-1-6654-5506-0

BT - 2022 57th International Universities Power Engineering Conference

PB - IEEE

CY - Piscataway, NJ

T2 - 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022

Y2 - 30 August 2022 through 2 September 2022

ER -

Multi-Objective Optimization Framework for Integration of Distributed Energy Resources in Smart Communities

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this