Research Article
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Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood

Year 2023, Volume: 13 Issue: 1, 205 - 216, 30.06.2023

Abstract

This study proposes a novel energy management strategy for residential neighborhoods that enables peer-to-peer energy transactions among households without the need for energy storage or distributed generation. The proposed strategy is based on a Mixed-Integer Linear Programming (MILP) optimization model that minimizes the overall cost per household, including energy consumption cost, flexibility procurement cost, flexibility selling gain, and penalty cost caused by exceeding the limits. The strategy aims to optimize the energy consumption and production patterns of households with just inverter-based air conditioner loads, while also ensuring that the overall load limit for the neighborhood is not exceeded during certain periods. The results of the MILP-based optimization model demonstrate that the proposed strategy can significantly reduce the overall cost per household, providing a more efficient and cost-effective energy system for residential neighborhoods. The strategy utilizes a flexible energy trading platform, with a pricing mechanism designed to incentivize households to optimize their energy consumption and production patterns and support the transition to a low-carbon energy future.

References

  • Akter, M.N., Mahmud, M.A., Haque, M.E., Oo, A.M.T. 2020. An optimal distributed energy management scheme for solving transactive energy sharing problems in residential microgrids. Applied Energy, 270: 115133. DOI: 10.1016/j. apenergy.2020.115133
  • Bukar, A.L., Hamza, M.F., Ayub, S., Abobaker, A.K., Modu, B., Mohseni, S., Brent, A.C., Ogbonnaya, C., Mustapha, K., Idakwo, H.O. 2023. Peer-to-peer electricity trading: A systematic review on current developments and perspectives. Renewable Energy Focus, 44: 317-333. DOI: 10.1016/j. ref.2023.01.008
  • Durillon, B., Davigny, A., Kazmierczak, S., Barry, H., Saudemont, C., Robyns, B. 2020. Decentralized neighbourhood energy management considering residential profiles and welfare for grid load smoothing. Sustainable Cities and Society, 63: 102464. DOI: 10.1016/j.scs.2020.102464
  • Fernandez, E., Hossain, M.J., Mahmud, K., Nizami, M.S.H., Kashif, M. 2021. A bi-level optimization-based community energy management system for optimal energy sharing and trading among peers. Journal of Cleaner Production, 279: 123254. DOI: 10.1016/j.jclepro.2020.123254
  • Fernandez, E., Hossain, M.J., Nizami, M.S.H. 2018. Gametheoretic approach to demand-side energy management for a smart neighbourhood in Sydney incorporating renewable resources. Applied Energy, 232: 245-257. DOI: 10.1016/j. apenergy.2018.09.171
  • Gholinejad, H.R., Adabi, J., Marzband, M. 2021. An energy management system structure for Neighborhood Networks. Journal of Building Engineering, 41: 102376. DOI: 10.1016/j. jobe.2021.102376
  • Gholinejad, H.R., Loni, A., Adabi, J., Marzband, M. 2020. A hierarchical energy management system for multiple home energy hubs in neighborhood grids. Journal of Building Engineering, 28: 101028. DOI: 10.1016/j.jobe.2019.101028
  • Görgülü, H., Topçuoğlu, Y., Yaldız, A., Gökçek, T., Ateş, Y., Erdinç, O. 2022. Peer-to-peer energy trading among smart homes considering responsive demand and interactive visual interface for monitoring. Sustainable Energy, Grids and Networks, 29: 100584. DOI: 10.1016/j.segan.2021.100584
  • Green, C., Garimella, S. 2021. Residential microgrid optimization using grey-box and black-box modeling methods. Energy and Buildings, 235: 110705. DOI: 10.1016/j.enbuild.2020.110705
  • Haider, H.T, Muhsen, D.H., Al-Nidawi, Y.M, Khatib, T., See, O.H. 2022. A novel approach for multi-objective costpeak optimization for demand response of a residential area in smart grids. Energy, 254: 124360. DOI: 10.1016/j. energy.2022.124360
  • Hu, M., Xiao, F., Wang, S. 2021. Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids. Renewable and Sustainable Energy Reviews, 135: 110248. DOI: 10.1016/j.rser.2020.110248
  • Jeddi, B., Mishra, Y., Ledwich, G. 2021. Distributed load scheduling in residential neighborhoods for coordinated operation of multiple home energy management systems. Applied Energy, 300: 117353. DOI: 10.1016/j.apenergy.2021.117353
  • Mathieu, J.L., Koch, S., Callaway, D. S. 2013. State estimation and control of electric loads to manage real-time energy imbalance, IEEE Transactions on Power Systems, 28: 430– 440. DOI: 10.1109/TPWRS.2012.2204074
  • Nematchoua, M.K., Nishimwe, A.M.-R., Reiter, S. 2021. Towards nearly zero-energy residential neighbourhoods in the European Union: A case study. Renewable and Sustainable Energy Reviews, 135: 110198. DOI: 10.1016/j. rser.2020.110198
  • Shafiullah, D.S., Vergara, P.P., Haque, A.N.M.M., Nguyen, P.H., Pemen A.J.M. 2020. Gaussian Mixture Based Uncertainty Modeling to Optimize Energy Management of Heterogeneous Building Neighborhoods: A Case Study of a Dutch University Medical Campus. Energy and Buildings, 224: 110150. DOI: 10.1016/j.enbuild.2020.110150
  • Shakouri, H., Kazemi, A. 2017. Multi-objective cost-load optimization for demand side management of a residential area in smart grids. Sustainable Cities and Society, 32: 171- 180. DOI: 10.1016/j.scs.2017.03.018
  • Sidnell, T., Clarke, F., Dorneanu, B., Mechleri, E., Arellano- Garcia, H. 2021. Optimal design and operation of distributed energy resources systems for residential neighbourhoods. Smart Energy, 4: 100049. DOI: 10.1016/j.segy.2021.100049
  • Singh, K., Gadh, R., Singh, A., Dewangan, C.L. 2022. Design of an optimal P2P energy trading market model using bilevel stochastic optimization. Applied Energy, 328: 120193. DOI: 10.1016/j.apenergy.2022.120193
  • Suresh, V., Janik, P., Jasinski, M, Guerrero, J.M., Leonowicz, Z. 2023. Microgrid energy management using metaheuristic optimization algorithms. Applied Soft Computing, 134: 109981. DOI: 10.1016/j.asoc.2022.109981
  • Thirunavukkarasu, G.S., Seyedmahmoudian, M., Jamei, E., Horan, B., Mekhilef, S., Stojcevski, A. 2022. Role of optimization techniques in microgrid energy management systems—A review. Energy Strategy Reviews, 43:100899. DOI: 10.1016/j.esr.2022.100899
  • Velik, R., Nicolay, P. 2016. Energy management in storage-augmented, grid-connected prosumer buildings and neighborhoods using a modified simulated annealing optimization. Computers & Operations Research, 66: 248-257. DOI: 10.1016/j.cor.2015.03.002
  • Wu, Y., Wu, Y., Cimen, H., Vasquez, J. C., Guerrero, J.M. 2022. Towards collective energy Community: Potential roles of microgrid and blockchain to go beyond P2P energy trading. Applied Energy, 314: 119003. DOI: 10.1016/j. apenergy.2022.119003
  • Zucker, G., Judex, F., Blöchle, M., Köstl, M., Widl, E., Hauer, S., Bres, A., Zeilinger, J. 2016. A new method for optimizing operation of large neighborhoods of buildings using thermal simulation. Energy and Buildings, 125: 153-160. DOI: 10.1016/j.enbuild.2016.04.081

Evsel Bir Mahalli Alan İçin Evler Arasında Esneklik Alışverişine İmkân Sağlayan Yeni Bir İşletim Stratejisinin Geliştirilmesi

Year 2023, Volume: 13 Issue: 1, 205 - 216, 30.06.2023

Abstract

Bu çalışmada, enerji depolama veya dağıtık üretim ihtiyacı olmadan evsel bir mahalli olan için evler arası enerji işlemlerine olanak tanıyan yeni bir enerji yönetimi stratejisi önermektedir. Önerilen strateji, enerji tüketim maliyeti, esneklik sağlama maliyeti, esneklik satış kazancı ve limitleri aşmadan kaynaklanan ceza maliyeti de dahil olmak üzere, genel maliyeti ev başına en aza indiren Karışık Tamsayılı Lineer Programlama optimizasyon modeline dayanmaktadır. Strateji, sadece inverter tabanlı klima yükleri ile evlerin enerji tüketim ve üretim desenlerini optimize etmeyi amaçlarken, aynı zamanda belirli dönemlerde mahalle genel yük limitinin aşılmamasını da sağlamaktadır. Karışık Tamsayılı Lineer Programlama tabanlı optimizasyon modelinin sonuçları, önerilen stratejinin ev başına genel maliyeti önemli ölçüde azaltabileceğini, böylece evsel mahalli alanlar için daha verimli ve maliyet etkin bir enerji sistemi sağlayabileceğini göstermektedir. Strateji, esnek bir enerji ticaret platformu kullanmakta ve düşük karbonlu bir enerji geleceğine geçişi desteklemek için tasarlanmış bir fiyatlandırma mekanizması ile evlerin enerji tüketim ve üretim desenlerini optimize etmelerini teşvik etmektedir.

References

  • Akter, M.N., Mahmud, M.A., Haque, M.E., Oo, A.M.T. 2020. An optimal distributed energy management scheme for solving transactive energy sharing problems in residential microgrids. Applied Energy, 270: 115133. DOI: 10.1016/j. apenergy.2020.115133
  • Bukar, A.L., Hamza, M.F., Ayub, S., Abobaker, A.K., Modu, B., Mohseni, S., Brent, A.C., Ogbonnaya, C., Mustapha, K., Idakwo, H.O. 2023. Peer-to-peer electricity trading: A systematic review on current developments and perspectives. Renewable Energy Focus, 44: 317-333. DOI: 10.1016/j. ref.2023.01.008
  • Durillon, B., Davigny, A., Kazmierczak, S., Barry, H., Saudemont, C., Robyns, B. 2020. Decentralized neighbourhood energy management considering residential profiles and welfare for grid load smoothing. Sustainable Cities and Society, 63: 102464. DOI: 10.1016/j.scs.2020.102464
  • Fernandez, E., Hossain, M.J., Mahmud, K., Nizami, M.S.H., Kashif, M. 2021. A bi-level optimization-based community energy management system for optimal energy sharing and trading among peers. Journal of Cleaner Production, 279: 123254. DOI: 10.1016/j.jclepro.2020.123254
  • Fernandez, E., Hossain, M.J., Nizami, M.S.H. 2018. Gametheoretic approach to demand-side energy management for a smart neighbourhood in Sydney incorporating renewable resources. Applied Energy, 232: 245-257. DOI: 10.1016/j. apenergy.2018.09.171
  • Gholinejad, H.R., Adabi, J., Marzband, M. 2021. An energy management system structure for Neighborhood Networks. Journal of Building Engineering, 41: 102376. DOI: 10.1016/j. jobe.2021.102376
  • Gholinejad, H.R., Loni, A., Adabi, J., Marzband, M. 2020. A hierarchical energy management system for multiple home energy hubs in neighborhood grids. Journal of Building Engineering, 28: 101028. DOI: 10.1016/j.jobe.2019.101028
  • Görgülü, H., Topçuoğlu, Y., Yaldız, A., Gökçek, T., Ateş, Y., Erdinç, O. 2022. Peer-to-peer energy trading among smart homes considering responsive demand and interactive visual interface for monitoring. Sustainable Energy, Grids and Networks, 29: 100584. DOI: 10.1016/j.segan.2021.100584
  • Green, C., Garimella, S. 2021. Residential microgrid optimization using grey-box and black-box modeling methods. Energy and Buildings, 235: 110705. DOI: 10.1016/j.enbuild.2020.110705
  • Haider, H.T, Muhsen, D.H., Al-Nidawi, Y.M, Khatib, T., See, O.H. 2022. A novel approach for multi-objective costpeak optimization for demand response of a residential area in smart grids. Energy, 254: 124360. DOI: 10.1016/j. energy.2022.124360
  • Hu, M., Xiao, F., Wang, S. 2021. Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids. Renewable and Sustainable Energy Reviews, 135: 110248. DOI: 10.1016/j.rser.2020.110248
  • Jeddi, B., Mishra, Y., Ledwich, G. 2021. Distributed load scheduling in residential neighborhoods for coordinated operation of multiple home energy management systems. Applied Energy, 300: 117353. DOI: 10.1016/j.apenergy.2021.117353
  • Mathieu, J.L., Koch, S., Callaway, D. S. 2013. State estimation and control of electric loads to manage real-time energy imbalance, IEEE Transactions on Power Systems, 28: 430– 440. DOI: 10.1109/TPWRS.2012.2204074
  • Nematchoua, M.K., Nishimwe, A.M.-R., Reiter, S. 2021. Towards nearly zero-energy residential neighbourhoods in the European Union: A case study. Renewable and Sustainable Energy Reviews, 135: 110198. DOI: 10.1016/j. rser.2020.110198
  • Shafiullah, D.S., Vergara, P.P., Haque, A.N.M.M., Nguyen, P.H., Pemen A.J.M. 2020. Gaussian Mixture Based Uncertainty Modeling to Optimize Energy Management of Heterogeneous Building Neighborhoods: A Case Study of a Dutch University Medical Campus. Energy and Buildings, 224: 110150. DOI: 10.1016/j.enbuild.2020.110150
  • Shakouri, H., Kazemi, A. 2017. Multi-objective cost-load optimization for demand side management of a residential area in smart grids. Sustainable Cities and Society, 32: 171- 180. DOI: 10.1016/j.scs.2017.03.018
  • Sidnell, T., Clarke, F., Dorneanu, B., Mechleri, E., Arellano- Garcia, H. 2021. Optimal design and operation of distributed energy resources systems for residential neighbourhoods. Smart Energy, 4: 100049. DOI: 10.1016/j.segy.2021.100049
  • Singh, K., Gadh, R., Singh, A., Dewangan, C.L. 2022. Design of an optimal P2P energy trading market model using bilevel stochastic optimization. Applied Energy, 328: 120193. DOI: 10.1016/j.apenergy.2022.120193
  • Suresh, V., Janik, P., Jasinski, M, Guerrero, J.M., Leonowicz, Z. 2023. Microgrid energy management using metaheuristic optimization algorithms. Applied Soft Computing, 134: 109981. DOI: 10.1016/j.asoc.2022.109981
  • Thirunavukkarasu, G.S., Seyedmahmoudian, M., Jamei, E., Horan, B., Mekhilef, S., Stojcevski, A. 2022. Role of optimization techniques in microgrid energy management systems—A review. Energy Strategy Reviews, 43:100899. DOI: 10.1016/j.esr.2022.100899
  • Velik, R., Nicolay, P. 2016. Energy management in storage-augmented, grid-connected prosumer buildings and neighborhoods using a modified simulated annealing optimization. Computers & Operations Research, 66: 248-257. DOI: 10.1016/j.cor.2015.03.002
  • Wu, Y., Wu, Y., Cimen, H., Vasquez, J. C., Guerrero, J.M. 2022. Towards collective energy Community: Potential roles of microgrid and blockchain to go beyond P2P energy trading. Applied Energy, 314: 119003. DOI: 10.1016/j. apenergy.2022.119003
  • Zucker, G., Judex, F., Blöchle, M., Köstl, M., Widl, E., Hauer, S., Bres, A., Zeilinger, J. 2016. A new method for optimizing operation of large neighborhoods of buildings using thermal simulation. Energy and Buildings, 125: 153-160. DOI: 10.1016/j.enbuild.2016.04.081
There are 23 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

F. Gülşen Erdinç 0000-0002-2027-8689

Publication Date June 30, 2023
Published in Issue Year 2023 Volume: 13 Issue: 1

Cite

APA Erdinç, F. G. (2023). Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood. Karaelmas Fen Ve Mühendislik Dergisi, 13(1), 205-216. https://doi.org/10.7212/karaelmasfen.1257495
AMA Erdinç FG. Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood. Karaelmas Fen ve Mühendislik Dergisi. June 2023;13(1):205-216. doi:10.7212/karaelmasfen.1257495
Chicago Erdinç, F. Gülşen. “Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood”. Karaelmas Fen Ve Mühendislik Dergisi 13, no. 1 (June 2023): 205-16. https://doi.org/10.7212/karaelmasfen.1257495.
EndNote Erdinç FG (June 1, 2023) Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood. Karaelmas Fen ve Mühendislik Dergisi 13 1 205–216.
IEEE F. G. Erdinç, “Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood”, Karaelmas Fen ve Mühendislik Dergisi, vol. 13, no. 1, pp. 205–216, 2023, doi: 10.7212/karaelmasfen.1257495.
ISNAD Erdinç, F. Gülşen. “Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood”. Karaelmas Fen ve Mühendislik Dergisi 13/1 (June 2023), 205-216. https://doi.org/10.7212/karaelmasfen.1257495.
JAMA Erdinç FG. Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood. Karaelmas Fen ve Mühendislik Dergisi. 2023;13:205–216.
MLA Erdinç, F. Gülşen. “Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood”. Karaelmas Fen Ve Mühendislik Dergisi, vol. 13, no. 1, 2023, pp. 205-16, doi:10.7212/karaelmasfen.1257495.
Vancouver Erdinç FG. Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood. Karaelmas Fen ve Mühendislik Dergisi. 2023;13(1):205-16.