IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v81y2018ip2p2637-2643.html
   My bibliography  Save this article

Multi-objective power generation expansion planning with high penetration of renewables

Author

Listed:
  • Luz, Thiago
  • Moura, Pedro
  • de Almeida, Aníbal

Abstract

This paper presents a multi-objective model for expansion with a high share of renewable energy. The model considers three objective functions (minimizing the total cost, maximizing generation at the peak load, and maximizing the contribution of non-hydro renewable sources). The model was then applied to the Brazilian case, using the new government targets for renewable energy. The introduction of the objectives regarding peak load and non-hydro renewable generation lead to an increase of solar power generation.

Suggested Citation

  • Luz, Thiago & Moura, Pedro & de Almeida, Aníbal, 2018. "Multi-objective power generation expansion planning with high penetration of renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2637-2643.
  • Handle: RePEc:eee:rensus:v:81:y:2018:i:p2:p:2637-2643
    DOI: 10.1016/j.rser.2017.06.069
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032117310109
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2017.06.069?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. Moura, Pedro S. & de Almeida, Aníbal T., 2010. "Multi-objective optimization of a mixed renewable system with demand-side management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1461-1468, June.
    2. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
    3. Iqbal, M. & Azam, M. & Naeem, M. & Khwaja, A.S. & Anpalagan, A., 2014. "Optimization classification, algorithms and tools for renewable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 640-654.
    4. Antunes, C.Henggeler & Martins, A.Gomes & Brito, Isabel Sofia, 2004. "A multiple objective mixed integer linear programming model for power generation expansion planning," Energy, Elsevier, vol. 29(4), pages 613-627.
    5. Pereira Jr., Amaro Olimpio & Pereira, André Santos & La Rovere, Emilio Lèbre & Barata, Martha Macedo de Lima & Villar, Sandra de Castro & Pires, Silvia Helena, 2011. "Strategies to promote renewable energy in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 681-688, January.
    6. Liu, Qiang & Shi, Minjun & Jiang, Kejun, 2009. "New power generation technology options under the greenhouse gases mitigation scenario in China," Energy Policy, Elsevier, vol. 37(6), pages 2440-2449, June.
    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. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    2. Constantino Dário Justo & José Eduardo Tafula & Pedro Moura, 2022. "Planning Sustainable Energy Systems in the Southern African Development Community: A Review of Power Systems Planning Approaches," Energies, MDPI, vol. 15(21), pages 1-28, October.
    3. Bortoluzzi, Mirian & Correia de Souza, Celso & Furlan, Marcelo, 2021. "Bibliometric analysis of renewable energy types using key performance indicators and multicriteria decision models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    4. Gómez-Calvet, Roberto & Martínez-Duart, José Manuel & Serrano-Calle, Silvia, 2019. "Current state and optimal development of the renewable electricity generation mix in Spain," Renewable Energy, Elsevier, vol. 135(C), pages 1108-1120.
    5. Wang, Ni & Heijnen, Petra W. & Imhof, Pieter J., 2020. "A multi-actor perspective on multi-objective regional energy system planning," Energy Policy, Elsevier, vol. 143(C).
    6. Aquila, Giancarlo & Souza Rocha, Luiz Célio & de Oliveira Pamplona, Edson & de Queiroz, Anderson Rodrigo & Rotela Junior, Paulo & Balestrassi, Pedro Paulo & Fonseca, Marcelo Nunes, 2018. "Proposed method for contracting of wind-photovoltaic projects connected to the Brazilian electric system using multiobjective programming," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 377-389.
    7. Kat, Bora, 2023. "Clean energy transition in the Turkish power sector: A techno-economic analysis with a high-resolution power expansion model," Utilities Policy, Elsevier, vol. 82(C).
    8. Aleksandra Kuzior & Aleksy Kwilinski & Ihor Hroznyi, 2021. "The Factorial-Reflexive Approach to Diagnosing the Executors’ and Contractors’ Attitude to Achieving the Objectives by Energy Supplying Companies," Energies, MDPI, vol. 14(9), pages 1-16, April.
    9. Deng, S. & Wang, R.Z. & Dai, Y.J., 2014. "How to evaluate performance of net zero energy building – A literature research," Energy, Elsevier, vol. 71(C), pages 1-16.
    10. Marcin Rabe & Dalia Streimikiene & Yuriy Bilan, 2019. "The Concept of Risk and Possibilities of Application of Mathematical Methods in Supporting Decision Making for Sustainable Energy Development," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    11. Haddad, Brahim & Liazid, Abdelkrim & Ferreira, Paula, 2017. "A multi-criteria approach to rank renewables for the Algerian electricity system," Renewable Energy, Elsevier, vol. 107(C), pages 462-472.
    12. Ahmad Khan, Aftab & Naeem, Muhammad & Iqbal, Muhammad & Qaisar, Saad & Anpalagan, Alagan, 2016. "A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1664-1683.
    13. Weitzel, Timm & Glock, Christoph H., 2018. "Energy management for stationary electric energy storage systems: A systematic literature review," European Journal of Operational Research, Elsevier, vol. 264(2), pages 582-606.
    14. Deepika Bishnoi & Harsh Chaturvedi, 2022. "Optimal Design of a Hybrid Energy System for Economic and Environmental Sustainability of Onshore Oil and Gas Fields," Energies, MDPI, vol. 15(6), pages 1-21, March.
    15. Voumvoulakis, Emmanouil & Asimakopoulou, Georgia & Danchev, Svetoslav & Maniatis, George & Tsakanikas, Aggelos, 2012. "Large scale integration of intermittent renewable energy sources in the Greek power sector," Energy Policy, Elsevier, vol. 50(C), pages 161-173.
    16. Graça Gomes, João & Medeiros Pinto, José & Xu, Huijin & Zhao, Changying & Hashim, Haslenda, 2020. "Modeling and planning of the electricity energy system with a high share of renewable supply for Portugal," Energy, Elsevier, vol. 211(C).
    17. Gilani, H. & Sahebi, H. & Oliveira, Fabricio, 2020. "Sustainable sugarcane-to-bioethanol supply chain network design: A robust possibilistic programming model," Applied Energy, Elsevier, vol. 278(C).
    18. Wahiba Yaïci & Michela Longo & Evgueniy Entchev & Federica Foiadelli, 2017. "Simulation Study on the Effect of Reduced Inputs of Artificial Neural Networks on the Predictive Performance of the Solar Energy System," Sustainability, MDPI, vol. 9(8), pages 1-14, August.
    19. José Carlos Romero & Pedro Linares, 2021. "Multiple Criteria Decision-Making as an Operational Conceptualization of Energy Sustainability," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    20. Gitizadeh, Mohsen & Kaji, Mahdi & Aghaei, Jamshid, 2013. "Risk based multiobjective generation expansion planning considering renewable energy sources," Energy, Elsevier, vol. 50(C), pages 74-82.

    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:rensus:v:81:y:2018:i:p2:p:2637-2643. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.