Optimizing Renewable Energy Community Management Through Multi-Objective Approaches

Dimitri Thomopulos; Claudia D'Ambrosio; Marco Raugi

doi:10.1109/EEEIC/ICPSEurope61470.2024.10751626

Optimizing Renewable Energy Community Management Through Multi-Objective Approaches

Dimitri Thomopulos
, Claudia D'Ambrosio
, Marco Raugi

University of Pisa

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

1 Citation (Scopus)

Abstract

Multi-objective optimization plays a significant role in optimizing the sizing and operation of Renewable Energy Communities (RECs), facilitating informed decision-making through precise Pareto curves. In this study, we extend a model to incorporate thermal loads and explore the effectiveness of the A-AUGMECON2 algorithm and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for solving it. Through comparative analysis, we aim to assess the performance and robustness of different optimization approaches in enhancing the sustainability and efficiency of REC operation.

Original language	English
Title of host publication	Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024
Editors	Zbigniew Leonowicz, Erika Stracqualursi
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350355185
DOIs	https://doi.org/10.1109/EEEIC/ICPSEurope61470.2024.10751626
Publication status	Published - 1 Jan 2024
Event	24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 - Rome, Italy Duration: 17 Jun 2024 → 20 Jun 2024

Publication series

Name	Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024

Conference

Conference	24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024
Country/Territory	Italy
City	Rome
Period	17/06/24 → 20/06/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Mixed Integer Linear Programming (MILP)
Multi-objective
Renewable Energy Communities (REC)

Access to Document

10.1109/EEEIC/ICPSEurope61470.2024.10751626

Cite this

Thomopulos, D., D'Ambrosio, C., & Raugi, M. (2024). Optimizing Renewable Energy Community Management Through Multi-Objective Approaches. In Z. Leonowicz, & E. Stracqualursi (Eds.), Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 (Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEIC/ICPSEurope61470.2024.10751626

Thomopulos, Dimitri ; D'Ambrosio, Claudia ; Raugi, Marco. / Optimizing Renewable Energy Community Management Through Multi-Objective Approaches. Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024. editor / Zbigniew Leonowicz ; Erika Stracqualursi. Institute of Electrical and Electronics Engineers Inc., 2024. (Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024).

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abstract = "Multi-objective optimization plays a significant role in optimizing the sizing and operation of Renewable Energy Communities (RECs), facilitating informed decision-making through precise Pareto curves. In this study, we extend a model to incorporate thermal loads and explore the effectiveness of the A-AUGMECON2 algorithm and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for solving it. Through comparative analysis, we aim to assess the performance and robustness of different optimization approaches in enhancing the sustainability and efficiency of REC operation.",

keywords = "Mixed Integer Linear Programming (MILP), Multi-objective, Renewable Energy Communities (REC)",

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Thomopulos, D, D'Ambrosio, C & Raugi, M 2024, Optimizing Renewable Energy Community Management Through Multi-Objective Approaches. in Z Leonowicz & E Stracqualursi (eds), Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024. Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024, Institute of Electrical and Electronics Engineers Inc., 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024, Rome, Italy, 17/06/24. https://doi.org/10.1109/EEEIC/ICPSEurope61470.2024.10751626

Optimizing Renewable Energy Community Management Through Multi-Objective Approaches. / Thomopulos, Dimitri; D'Ambrosio, Claudia; Raugi, Marco.
Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024. ed. / Zbigniew Leonowicz; Erika Stracqualursi. Institute of Electrical and Electronics Engineers Inc., 2024. (Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024).

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

TY - GEN

T1 - Optimizing Renewable Energy Community Management Through Multi-Objective Approaches

AU - Thomopulos, Dimitri

AU - D'Ambrosio, Claudia

AU - Raugi, Marco

PY - 2024/1/1

Y1 - 2024/1/1

N2 - Multi-objective optimization plays a significant role in optimizing the sizing and operation of Renewable Energy Communities (RECs), facilitating informed decision-making through precise Pareto curves. In this study, we extend a model to incorporate thermal loads and explore the effectiveness of the A-AUGMECON2 algorithm and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for solving it. Through comparative analysis, we aim to assess the performance and robustness of different optimization approaches in enhancing the sustainability and efficiency of REC operation.

AB - Multi-objective optimization plays a significant role in optimizing the sizing and operation of Renewable Energy Communities (RECs), facilitating informed decision-making through precise Pareto curves. In this study, we extend a model to incorporate thermal loads and explore the effectiveness of the A-AUGMECON2 algorithm and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for solving it. Through comparative analysis, we aim to assess the performance and robustness of different optimization approaches in enhancing the sustainability and efficiency of REC operation.

KW - Mixed Integer Linear Programming (MILP)

KW - Multi-objective

KW - Renewable Energy Communities (REC)

U2 - 10.1109/EEEIC/ICPSEurope61470.2024.10751626

DO - 10.1109/EEEIC/ICPSEurope61470.2024.10751626

M3 - Conference contribution

AN - SCOPUS:85211891307

T3 - Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024

BT - Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024

A2 - Leonowicz, Zbigniew

A2 - Stracqualursi, Erika

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024

Y2 - 17 June 2024 through 20 June 2024

ER -

Thomopulos D, D'Ambrosio C, Raugi M. Optimizing Renewable Energy Community Management Through Multi-Objective Approaches. In Leonowicz Z, Stracqualursi E, editors, Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024). doi: 10.1109/EEEIC/ICPSEurope61470.2024.10751626

Optimizing Renewable Energy Community Management Through Multi-Objective Approaches

Abstract

Publication series

Conference

UN SDGs

Keywords

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