IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v203y2023icp357-372.html
   My bibliography  Save this article

Cutting-edge public policy proposal to maximize the long-term benefits of distributed energy resources

Author

Listed:
  • Costa, Vinicius Braga Ferreira da
  • Bonatto, Benedito Donizeti

Abstract

In the context of increasing integration and relevance of distributed energy resources, this paper proposes an advanced public policy to maximize their long-term benefits through optimal regulated electricity market management. More specifically, the focus is on renewable distributed generation and energy storage systems. The proposed policy arises from three models or techniques, i.e., the optimized tariff model (regulated electricity market model), Bass diffusion model (long-term forecasting of the integration of distributed energy resources), and random walk (risk assessment technique), along with a stochastic optimization problem. The policy leads to socioeconomic welfare maximization while ensuring fairness for all the market players and enhanced control by the regulatory agency on the integration of distributed energy resources. By applying the policy to a concession area located in northeastern Brazil, where photovoltaic distributed generation systems dominate the market share, results demonstrate that it is highly valuable as a 156 (MR$) mean socioeconomic welfare gain was achieved when optimizing the design variables (compared to a non-optimal solution).

Suggested Citation

  • Costa, Vinicius Braga Ferreira da & Bonatto, Benedito Donizeti, 2023. "Cutting-edge public policy proposal to maximize the long-term benefits of distributed energy resources," Renewable Energy, Elsevier, vol. 203(C), pages 357-372.
  • Handle: RePEc:eee:renene:v:203:y:2023:i:c:p:357-372
    DOI: 10.1016/j.renene.2022.12.045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122018304
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2022.12.045?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Costa, Vinicius B.F. & Pereira, Lígia C. & Andrade, Jorge V.B. & Bonatto, Benedito D., 2022. "Future assessment of the impact of the COVID-19 pandemic on the electricity market based on a stochastic socioeconomic model," Applied Energy, Elsevier, vol. 313(C).
    2. von Wirth, Timo & Gislason, Linda & Seidl, Roman, 2018. "Distributed energy systems on a neighborhood scale: Reviewing drivers of and barriers to social acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2618-2628.
    3. Di Somma, M. & Graditi, G. & Heydarian-Forushani, E. & Shafie-khah, M. & Siano, P., 2018. "Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects," Renewable Energy, Elsevier, vol. 116(PA), pages 272-287.
    4. Maribu, Karl Magnus & Firestone, Ryan M. & Marnay, Chris & Siddiqui, Afzal S., 2007. "Distributed energy resources market diffusion model," Energy Policy, Elsevier, vol. 35(9), pages 4471-4484, September.
    5. Mehigan, L. & Deane, J.P. & Gallachóir, B.P.Ó. & Bertsch, V., 2018. "A review of the role of distributed generation (DG) in future electricity systems," Energy, Elsevier, vol. 163(C), pages 822-836.
    6. Dornan, Matthew & Shah, Kalim U., 2016. "Energy policy, aid, and the development of renewable energy resources in Small Island Developing States," Energy Policy, Elsevier, vol. 98(C), pages 759-767.
    7. Yadav, Monika & Pal, Nitai & Saini, Devender Kumar, 2021. "Resilient electrical distribution grid planning against seismic waves using distributed energy resources and sectionalizers: An Indian's urban grid case study," Renewable Energy, Elsevier, vol. 178(C), pages 241-259.
    8. Wang, Yifei & Wang, Xiuli & Shao, Chengcheng & Gong, Naiwei, 2020. "Distributed energy trading for an integrated energy system and electric vehicle charging stations: A Nash bargaining game approach," Renewable Energy, Elsevier, vol. 155(C), pages 513-530.
    9. Eshan Karunarathne & Jagadeesh Pasupuleti & Janaka Ekanayake & Dilini Almeida, 2021. "The Optimal Placement and Sizing of Distributed Generation in an Active Distribution Network with Several Soft Open Points," Energies, MDPI, vol. 14(4), pages 1-20, February.
    10. Mohajeri, Nahid & Perera, A.T.D. & Coccolo, Silvia & Mosca, Lucas & Le Guen, Morgane & Scartezzini, Jean-Louis, 2019. "Integrating urban form and distributed energy systems: Assessment of sustainable development scenarios for a Swiss village to 2050," Renewable Energy, Elsevier, vol. 143(C), pages 810-826.
    11. Ana Werlang & Gabriel Cunha & João Bastos & Juliana Serra & Bruno Barbosa & Luiz Barroso, 2021. "Reliability Metrics for Generation Planning and the Role of Regulation in the Energy Transition: Case Studies of Brazil and Mexico," Energies, MDPI, vol. 14(21), pages 1-27, November.
    12. Khalid, Muhammad & Ahmadi, Abdollah & Savkin, Andrey V. & Agelidis, Vassilios G., 2016. "Minimizing the energy cost for microgrids integrated with renewable energy resources and conventional generation using controlled battery energy storage," Renewable Energy, Elsevier, vol. 97(C), pages 646-655.
    13. Massiani, Jérôme & Gohs, Andreas, 2015. "The choice of Bass model coefficients to forecast diffusion for innovative products: An empirical investigation for new automotive technologies," Research in Transportation Economics, Elsevier, vol. 50(C), pages 17-28.
    14. Leticia dos Santos Benso Maciel & Benedito Donizeti Bonatto & Hector Arango & Lucas Gustavo Arango, 2020. "Evaluating Public Policies for Fair Social Tariffs of Electricity in Brazil by Using an Economic Market Model," Energies, MDPI, vol. 13(18), pages 1-20, September.
    15. Nadia Barkoczi & Mircea Lobontiu & Laura Bacali, 2015. "A Bass Difussion Model Analysis in a Marketing Approach on the Mobile Phone Market," Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society: Managing Intellectual Capital and Innovation; Proceedings of the MakeLearn and TIIM Joint International Conference 2,, ToKnowPress.
    16. Costa, Vinicius B.F. & Bonatto, Benedito D. & Silva, Patrícia F., 2022. "Optimizing Brazil's regulated electricity market in the context of time-of-use rates and prosumers with energy storage systems," Utilities Policy, Elsevier, vol. 79(C).
    17. Mehleri, E.D. & Sarimveis, H. & Markatos, N.C. & Papageorgiou, L.G., 2013. "Optimal design and operation of distributed energy systems: Application to Greek residential sector," Renewable Energy, Elsevier, vol. 51(C), pages 331-342.
    18. Moreno Jaramillo, Andres F. & Laverty, David M. & Morrow, D. John & Martinez del Rincon, Jesús & Foley, Aoife M., 2021. "Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks," Renewable Energy, Elsevier, vol. 179(C), pages 445-466.
    19. Li, Zening & Su, Su & Jin, Xiaolong & Chen, Houhe, 2021. "Distributed energy management for active distribution network considering aggregated office buildings," Renewable Energy, Elsevier, vol. 180(C), pages 1073-1087.
    20. Burger, Scott P. & Luke, Max, 2017. "Business models for distributed energy resources: A review and empirical analysis," Energy Policy, Elsevier, vol. 109(C), pages 230-248.
    21. Van Hoesen, John & Letendre, Steven, 2010. "Evaluating potential renewable energy resources in Poultney, Vermont: A GIS-based approach to supporting rural community energy planning," Renewable Energy, Elsevier, vol. 35(9), pages 2114-2122.
    22. Tiago Elias Castelo de Oliveira & Math Bollen & Paulo Fernando Ribeiro & Pedro M. S. de Carvalho & Antônio C. Zambroni & Benedito D. Bonatto, 2019. "The Concept of Dynamic Hosting Capacity for Distributed Energy Resources: Analytics and Practical Considerations," Energies, MDPI, vol. 12(13), pages 1-18, July.
    23. Ismael, Sherif M. & Abdel Aleem, Shady H.E. & Abdelaziz, Almoataz Y. & Zobaa, Ahmed F., 2019. "State-of-the-art of hosting capacity in modern power systems with distributed generation," Renewable Energy, Elsevier, vol. 130(C), pages 1002-1020.
    24. Vahidinasab, Vahid, 2014. "Optimal distributed energy resources planning in a competitive electricity market: Multiobjective optimization and probabilistic design," Renewable Energy, Elsevier, vol. 66(C), pages 354-363.
    25. Costa, Vinicius B.F. & Capaz, Rafael S. & Silva, Patrícia F. & Doyle, Gabriel & Aquila, Giancarlo & Coelho, Éden O. & de Lorenci, Eliane & Pereira, Lígia C. & Maciel, Letícia B. & Balestrassi, Pedro P, 2022. "Socioeconomic and environmental consequences of a new law for regulating distributed generation in Brazil: A holistic assessment," Energy Policy, Elsevier, vol. 169(C).
    26. Fouquet, Dörte, 2013. "Policy instruments for renewable energy – From a European perspective," Renewable Energy, Elsevier, vol. 49(C), pages 15-18.
    27. Dong, Changgui & Sigrin, Benjamin & Brinkman, Gregory, 2017. "Forecasting residential solar photovoltaic deployment in California," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 251-265.
    28. Allen, James T. & El-Farra, Nael H., 2017. "A model-based framework for fault estimation and accommodation applied to distributed energy resources," Renewable Energy, Elsevier, vol. 100(C), pages 35-43.
    29. Soroudi, Alireza & Ehsan, Mehdi & Zareipour, Hamidreza, 2011. "A practical eco-environmental distribution network planning model including fuel cells and non-renewable distributed energy resources," Renewable Energy, Elsevier, vol. 36(1), pages 179-188.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Costa, Vinicius B.F. & Capaz, Rafael S. & Silva, Patrícia F. & Doyle, Gabriel & Aquila, Giancarlo & Coelho, Éden O. & de Lorenci, Eliane & Pereira, Lígia C. & Maciel, Letícia B. & Balestrassi, Pedro P, 2022. "Socioeconomic and environmental consequences of a new law for regulating distributed generation in Brazil: A holistic assessment," Energy Policy, Elsevier, vol. 169(C).
    2. Amro M Elshurafa & Abdel Rahman Muhsen, 2019. "The Upper Limit of Distributed Solar PV Capacity in Riyadh: A GIS-Assisted Study," Sustainability, MDPI, vol. 11(16), pages 1-20, August.
    3. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, vol. 13(23), pages 1-41, November.
    4. Vincent Umoh & Innocent Davidson & Abayomi Adebiyi & Unwana Ekpe, 2023. "Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review," Energies, MDPI, vol. 16(8), pages 1-25, April.
    5. Wei Sun & Sam Harrison & Gareth P. Harrison, 2020. "Value of Local Offshore Renewable Resource Diversity for Network Hosting Capacity," Energies, MDPI, vol. 13(22), pages 1-20, November.
    6. Magdalena Bartecka & Grazia Barchi & Józef Paska, 2020. "Time-Series PV Hosting Capacity Assessment with Storage Deployment," Energies, MDPI, vol. 13(10), pages 1-20, May.
    7. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach," Applied Energy, Elsevier, vol. 222(C), pages 932-950.
    8. Kurdgelashvili, Lado & Shih, Cheng-Hao & Yang, Fan & Garg, Mehul, 2019. "An empirical analysis of county-level residential PV adoption in California," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 321-333.
    9. Liu, Liuchen & Cui, Guomin & Chen, Jiaxing & Huang, Xiaohuang & Li, Di, 2022. "Two-stage superstructure model for optimization of distributed energy systems (DES) part I: Model development and verification," Energy, Elsevier, vol. 245(C).
    10. Karmellos, M. & Georgiou, P.N. & Mavrotas, G., 2019. "A comparison of methods for the optimal design of Distributed Energy Systems under uncertainty," Energy, Elsevier, vol. 178(C), pages 318-333.
    11. Jain, Akshay Kumar & Horowitz, Kelsey & Ding, Fei & Sedzro, Kwami Senam & Palmintier, Bryan & Mather, Barry & Jain, Himanshu, 2020. "Dynamic hosting capacity analysis for distributed photovoltaic resources—Framework and case study," Applied Energy, Elsevier, vol. 280(C).
    12. Wang, Zhenfeng & Xu, Guangyin & Wang, Heng & Ren, Jingzheng, 2019. "Distributed energy system for sustainability transition: A comprehensive assessment under uncertainties based on interval multi-criteria decision making method by coupling interval DEMATEL and interva," Energy, Elsevier, vol. 169(C), pages 750-761.
    13. Tiago P. Abud & Andre A. Augusto & Marcio Z. Fortes & Renan S. Maciel & Bruno S. M. C. Borba, 2022. "State of the Art Monte Carlo Method Applied to Power System Analysis with Distributed Generation," Energies, MDPI, vol. 16(1), pages 1-24, December.
    14. Zhu, Xingyi & Zhan, Xiangyan & Liang, Hao & Zheng, Xuyue & Qiu, Yuwei & Lin, Jian & Chen, Jincan & Meng, Chao & Zhao, Yingru, 2020. "The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects," Renewable Energy, Elsevier, vol. 146(C), pages 2700-2715.
    15. Vinicius Braga Ferreira da Costa & Gabriel Nasser Doyle de Doile & Gustavo Troiano & Bruno Henriques Dias & Benedito Donizeti Bonatto & Tiago Soares & Walmir de Freitas Filho, 2022. "Electricity Markets in the Context of Distributed Energy Resources and Demand Response Programs: Main Developments and Challenges Based on a Systematic Literature Review," Energies, MDPI, vol. 15(20), pages 1-43, October.
    16. Ren, Hongbo & Wu, Qiong & Li, Qifen & Yang, Yongwen, 2020. "Optimal design and management of distributed energy network considering both efficiency and fairness," Energy, Elsevier, vol. 213(C).
    17. Tiruwork B. Tibebu & Eric Hittinger & Qing Miao & Eric Williams, 2024. "Adoption Model Choice Affects the Optimal Subsidy for Residential Solar," Energies, MDPI, vol. 17(3), pages 1-19, February.
    18. Hung, Duong Quoc & Mithulananthan, N. & Bansal, R.C., 2014. "An optimal investment planning framework for multiple distributed generation units in industrial distribution systems," Applied Energy, Elsevier, vol. 124(C), pages 62-72.
    19. Zizzo, G. & Beccali, M. & Bonomolo, M. & Di Pietra, B. & Ippolito, M.G. & La Cascia, D. & Leone, G. & Lo Brano, V. & Monteleone, F., 2017. "A feasibility study of some DSM enabling solutions in small islands: The case of Lampedusa," Energy, Elsevier, vol. 140(P1), pages 1030-1046.
    20. Klein, Sharon J.W. & Coffey, Stephanie, 2016. "Building a sustainable energy future, one community at a time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 867-880.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:203:y:2023:i:c:p:357-372. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.