Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme

The massive penetration of active customers throughout Home Energy Management Systems (HEMS) may cause adverse effects on the power grid, including rebound peaks, instabilities, and power congestion. The concept of coordination has arisen in literature to mitigate these effects and relieve power gri...

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Autores:
Domínguez, J.A
Parrado-Duque, A.
Montoya, O.D
Henao, N.
Campillo, J.
Agbossou, K
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12153
Acceso en línea:
https://hdl.handle.net/20.500.12585/12153
Palabra clave:
Blockchain
Demand Response
Distributed Energy Management
Electric Thermal Storage
Power Flow
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme
title Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme
spellingShingle Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme
Blockchain
Demand Response
Distributed Energy Management
Electric Thermal Storage
Power Flow
title_short Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme
title_full Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme
title_fullStr Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme
title_full_unstemmed Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme
title_sort Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme
dc.creator.fl_str_mv Domínguez, J.A
Parrado-Duque, A.
Montoya, O.D
Henao, N.
Campillo, J.
Agbossou, K
dc.contributor.author.none.fl_str_mv Domínguez, J.A
Parrado-Duque, A.
Montoya, O.D
Henao, N.
Campillo, J.
Agbossou, K
dc.subject.keywords.spa.fl_str_mv Blockchain
Demand Response
Distributed Energy Management
Electric Thermal Storage
Power Flow
topic Blockchain
Demand Response
Distributed Energy Management
Electric Thermal Storage
Power Flow
description The massive penetration of active customers throughout Home Energy Management Systems (HEMS) may cause adverse effects on the power grid, including rebound peaks, instabilities, and power congestion. The concept of coordination has arisen in literature to mitigate these effects and relieve power grid stress. Their advantages have been discussed for different market types as well as at different grid scales. However, it is imperative to develop proofs-of-concept and test not only the economic feasibility of such programs but also the technical one. This paper presents a cosimulation-based framework that facilitates economic and technical studies for coordination programs. A case study is presented, with eighteen residential users and a local coordinator within a Stackelberg game. At the customer level, flexibility is achieved through electric thermal storage (ETS). The program exploits salient features of blockchain algorithms to increase security at the demand aggregation level. The technical feasibility was evaluated through the Peak-to-average (PAR) ratio, active power losses, and the voltage profile using power flow methods over the IEEE 33-node feeder. This study’s findings demonstrate the coordination programs’ ability to bring economic benefits and reduce the PAR. Furthermore, they suggest that although coordination programs can assist in flattening the power profile, they could create adverse effects on the power grid in critical scenarios.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-07-18T19:36:31Z
dc.date.available.none.fl_str_mv 2023-07-18T19:36:31Z
dc.date.issued.none.fl_str_mv 2023-02
dc.date.submitted.none.fl_str_mv 2023-07
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dc.identifier.citation.spa.fl_str_mv J. A. Domínguez, A. Parrado-Duque, O. D. Montoya, N. Henao, J. Campillo and K. Agbossou, "Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme," 2023 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA, 2023, pp. 1-5, doi: 10.1109/TPEC56611.2023.10078675.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/12153
dc.identifier.doi.none.fl_str_mv 10.1109/TPEC56611.2023.10078675
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv J. A. Domínguez, A. Parrado-Duque, O. D. Montoya, N. Henao, J. Campillo and K. Agbossou, "Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme," 2023 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA, 2023, pp. 1-5, doi: 10.1109/TPEC56611.2023.10078675.
10.1109/TPEC56611.2023.10078675
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12153
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.rights.cc.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv 2023 IEEE Texas Power and Energy Conference, TPEC 2023
institution Universidad Tecnológica de Bolívar
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spelling Domínguez, J.Ab4bb445b-6b21-4277-8d1d-a0009bd437e0Parrado-Duque, A.d424427d-c0e6-4e3a-a104-7a9c4fb338feMontoya, O.Dc350cd1a-09d0-4e77-8444-83ccfd0773e1Henao, N.273f0cef-d7d4-4cba-aa2e-006e03833f36Campillo, J.8c4725e9-5e97-40df-b9ae-f67c73617ff3Agbossou, K9a60530a-3b36-4aac-914d-22214bd4004a2023-07-18T19:36:31Z2023-07-18T19:36:31Z2023-022023-07J. A. Domínguez, A. Parrado-Duque, O. D. Montoya, N. Henao, J. Campillo and K. Agbossou, "Techno-economic Feasibility of A Trust and Grid-aware Coordination Scheme," 2023 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA, 2023, pp. 1-5, doi: 10.1109/TPEC56611.2023.10078675.https://hdl.handle.net/20.500.12585/1215310.1109/TPEC56611.2023.10078675Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe massive penetration of active customers throughout Home Energy Management Systems (HEMS) may cause adverse effects on the power grid, including rebound peaks, instabilities, and power congestion. The concept of coordination has arisen in literature to mitigate these effects and relieve power grid stress. Their advantages have been discussed for different market types as well as at different grid scales. However, it is imperative to develop proofs-of-concept and test not only the economic feasibility of such programs but also the technical one. This paper presents a cosimulation-based framework that facilitates economic and technical studies for coordination programs. A case study is presented, with eighteen residential users and a local coordinator within a Stackelberg game. At the customer level, flexibility is achieved through electric thermal storage (ETS). The program exploits salient features of blockchain algorithms to increase security at the demand aggregation level. The technical feasibility was evaluated through the Peak-to-average (PAR) ratio, active power losses, and the voltage profile using power flow methods over the IEEE 33-node feeder. This study’s findings demonstrate the coordination programs’ ability to bring economic benefits and reduce the PAR. Furthermore, they suggest that although coordination programs can assist in flattening the power profile, they could create adverse effects on the power grid in critical scenarios.application/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf22023 IEEE Texas Power and Energy Conference, TPEC 2023Techno-economic Feasibility of A Trust and Grid-aware Coordination Schemeinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1BlockchainDemand ResponseDistributed Energy ManagementElectric Thermal StoragePower FlowCartagena de IndiasCaballero-Peña, J., Cadena-Zarate, C., Parrado-Duque, A., Osma-Pinto, G. Distributed energy resources on distribution networks: A systematic review of modelling, simulation, metrics, and impacts (2022) International Journal of Electrical Power and Energy Systems, 138, art. no. 107900. Cited 16 times. https://www.journals.elsevier.com/international-journal-of-electrical-power-and-energy-systems doi: 10.1016/j.ijepes.2021.107900Dominguez, J.A., Dante, A.W., Agbossou, K., Henao, N., Campillo, J., Cardenas, A., Kelouwani, S. Optimal Charging Scheduling of Electric Vehicles based on Principal Component Analysis and Convex Optimization (2020) IEEE International Symposium on Industrial Electronics, 2020-June, art. no. 9152292, pp. 935-940. Cited 4 times. ISBN: 978-172815635-4 doi: 10.1109/ISIE45063.2020.9152292Etedadi Aliabadi, F., Agbossou, K., Kelouwani, S., Henao, N., Hosseini, S.S. Coordination of smart home energy management systems in neighborhood areas: A systematic review (2021) IEEE Access, 9, art. no. 9363112, pp. 36417-36443. Cited 30 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2021.3061995Lazaroiu, C., Roscia, M., Saatmandi, S. Blockchain strategies and policies for sustainable electric mobility into Smart City (2020) 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020, art. no. 9161832, pp. 363-368. Cited 7 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9154348 ISBN: 978-172817019-0 doi: 10.1109/SPEEDAM48782.2020.9161832Moghbel, M., Masoum, M.A.S., Fereidouni, A. Decentralize Coordinated Charging of Plug-In Electric Vehicles in Unbalanced Residential Networks to Control Distribution Transformer Loading, Voltage Profile and Current Unbalance (2015) Intelligent Industrial Systems, 1 (2), pp. 141-151. Cited 12 times. Aug https://doi.org/10.1007/s40903-015-0008-7Montoya, O.D., Gil-González, W. On the numerical analysis based on successive approximations for power flow problems in AC distribution systems (2020) Electric Power Systems Research, 187, art. no. 106454. Cited 39 times. https://www.journals.elsevier.com/electric-power-systems-research doi: 10.1016/j.epsr.2020.106454Fraija, A., Agbossou, K., Henao, N., Kelouwani, S. Peak-to-Average Ratio Analysis of A Load Aggregator for Incentive-based Demand Response (2020) IEEE International Symposium on Industrial Electronics, 2020-June, art. no. 9152474, pp. 953-958. Cited 10 times. ISBN: 978-172815635-4 doi: 10.1109/ISIE45063.2020.9152474Bokkisam, H.R., Singh, S., Acharya, R.M., Selvan, M.P. Blockchain-based peer-to-peer transactive energy system for community microgrid with demand response management (Open Access) (2022) CSEE Journal of Power and Energy Systems, 8 (1), pp. 198-211. Cited 28 times. https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7054730 doi: 10.17775/CSEEJPES.2020.06660Bragagnolo, S.N., Vaschetti, J.C., Magnago, F. A technical and economic criteria comparison on demand side management with multi-level optimization model (2021) IEEE Latin America Transactions, 19 (9), art. no. 9468442, pp. 1494-1501. Cited 4 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9907 doi: 10.1109/TLA.2021.9468442Nizami, S., Tushar, W., Hossain, M.J., Yuen, C., Saha, T., Poor, H.V. Transactive energy for low voltage residential networks: A review (2022) Applied Energy, 323, art. no. 119556. Cited 7 times. https://www.journals.elsevier.com/applied-energy doi: 10.1016/j.apenergy.2022.119556Dominguez, J.A., Rueda, L., Henao, N., Agbossou, K., Campillo, J. Distributed Co-simulation for Smart Homes Energy Management in the Presence of Electrical Thermal Storage (2022) IECON Proceedings (Industrial Electronics Conference), 2022-October. Cited 2 times. ISBN: 978-166548025-3 doi: 10.1109/IECON49645.2022.9969092Ariza, H., Martinez-Santos, J.C., Payares, E.D., Medina, M.F., Dominguez-Jimenez, J.A., Campillo, J. A blockchain solution for operational parameters monitoring platform for DC microgrids (Open Access) (2020) 2020 IEEE ANDESCON, ANDESCON 2020, art. no. 9272035. Cited 4 times. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9271969 ISBN: 978-172819365-6 doi: 10.1109/ANDESCON50619.2020.9272035Campillo, J., Dominguez-Jimenez, J.A., Ariza, H., Payares, E.D., Martinez-Santos, J.C. Distributed Energy Resources Parameter Monitoring in Microgrids Using Blockchain and Edge Computing (2020) 2020 IEEE PES Transactive Energy Systems Conference, TESC 2020 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9656870 ISBN: 978-166542935-1 doi: 10.1109/TESC50295.2020.9656872Parikh, N., Boyd, S. Proximal Algorithms (2014) Foundations and TrendsR in Optimization, 1 (3), pp. 127-239. 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