IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i10p2564-d359833.html
   My bibliography  Save this article

A Reservoir Operation Policy Using Inter-Basin Water Transfer for Maximizing Hydroelectric Benefits in Brazil

Author

Listed:
  • Anderson Passos de Aragão

    (Federal Institute of Education, Science and Technology of Ceará, Campus Tianguá, CE-187, s/n - Estádio, 62324-075 Tianguá-CE, Brazil)

  • Patrícia Teixeira Leite Asano

    (Campus Santo André, Federal University of ABC, Av. dos Estados, 5001 - Bangú, 09210-580 Santo André-SP, Brazil)

  • Ricardo de Andrade Lira Rabêlo

    (Campus Universitário Ministro Petrônio Portella, Federal University of Piauí, s/n - Ininga, 64049-550 Teresina-PI, Brazil)

Abstract

The Hydrothermal Coordination problem consists of determining an operation policy for hydroelectric and thermoelectric plants within a given planning horizon. In systems with a predominance of hydraulic generation, the operation policy to be adopted should specify the operation of hydroelectric plants, so that hydroelectric resources are used economically and reliably. This work proposes the implementation of reservoir operation rules, using inter-basin water transfer through an optimization model based on Network Flow and Particle Swarm Optimization (PSO). The proposed algorithm aims to obtain an optimized operation policy of power generation reservoirs and consequently to maximize the hydroelectric benefits of the hydrothermal generation system, to reduce the use of thermoelectric plants, the importation and/or energy deficit and to reduce the cost associated with meeting the demand and reduce CO 2 emissions from combustion of fossil fuels used by thermoelectric plants. In order to illustrate the efficiency and effectiveness of the proposed approach, it was evaluated by optimizing two case studies using a system with four hydroelectric plants. The first case study does not consider transfer and water and the second case study uses water transfer between rivers. The obtained results illustrate that the proposed model allowed to maximize the hydroelectric resources of a hydrothermal generation system with economy and reliability.

Suggested Citation

  • Anderson Passos de Aragão & Patrícia Teixeira Leite Asano & Ricardo de Andrade Lira Rabêlo, 2020. "A Reservoir Operation Policy Using Inter-Basin Water Transfer for Maximizing Hydroelectric Benefits in Brazil," Energies, MDPI, vol. 13(10), pages 1-26, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2564-:d:359833
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/10/2564/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/10/2564/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohamed A. Tolba & Hegazy Rezk & Vladimir Tulsky & Ahmed A. Zaki Diab & Almoataz Y. Abdelaziz & Artem Vanin, 2018. "Impact of Optimum Allocation of Renewable Distributed Generations on Distribution Networks Based on Different Optimization Algorithms," Energies, MDPI, vol. 11(1), pages 1-33, January.
    2. Amirreza Naderipour & Zulkurnain Abdul-Malek & Saber Arabi Nowdeh & Foad H. Gandoman & Mohammad Jafar Hadidian Moghaddam, 2019. "A Multi-Objective Optimization Problem for Optimal Site Selection of Wind Turbines for Reduce Losses and Improve Voltage Profile of Distribution Grids," Energies, MDPI, vol. 12(13), pages 1-15, July.
    3. Manh-Hai Pham & T-A-Tho Vu & Duc-Quang Nguyen & Viet-Hung Dang & Ngoc-Trung Nguyen & Thu-Huyen Dang & The Vinh Nguyen, 2019. "Study on Selecting the Optimal Algorithm and the Effective Methodology to ANN-Based Short-Term Load Forecasting Model for the Southern Power Company in Vietnam," Energies, MDPI, vol. 12(12), pages 1-19, June.
    4. de Queiroz, Anderson Rodrigo, 2016. "Stochastic hydro-thermal scheduling optimization: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 382-395.
    5. Hans Christian Gils & Sonja Simon & Rafael Soria, 2017. "100% Renewable Energy Supply for Brazil—The Role of Sector Coupling and Regional Development," Energies, MDPI, vol. 10(11), pages 1-22, November.
    6. Mun Mun Ahmed & Koji Shimada, 2019. "The Effect of Renewable Energy Consumption on Sustainable Economic Development: Evidence from Emerging and Developing Economies," Energies, MDPI, vol. 12(15), pages 1-15, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pedro H. M. Nascimento & Vinícius A. Cabral & Ivo C. Silva Junior & Frederico F. Panoeiro & Leonardo M. Honório & André L. M. Marcato, 2021. "Spillage Forecast Models in Hydroelectric Power Plants Using Information from Telemetry Stations and Hydraulic Control," Energies, MDPI, vol. 14(1), pages 1-16, January.
    2. Ramon Abritta & Frederico Panoeiro & Leonardo Honório & Ivo Silva Junior & André Marcato & Anapaula Guimarães, 2020. "Hydroelectric Operation Optimization and Unexpected Spillage Indications," Energies, MDPI, vol. 13(20), pages 1-20, October.

    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. Bojana Škrbić & Željko Đurišić, 2023. "Novel Planning Methodology for Spatially Optimized RES Development Which Minimizes Flexibility Requirements for Their Integration into the Power System," Energies, MDPI, vol. 16(7), pages 1-34, April.
    2. Fernández-Blanco, R. & Kavvadias, K. & Hidalgo González, I., 2017. "Quantifying the water-power linkage on hydrothermal power systems: A Greek case study," Applied Energy, Elsevier, vol. 203(C), pages 240-253.
    3. Kolb, Sebastian & Plankenbühler, Thomas & Frank, Jonas & Dettelbacher, Johannes & Ludwig, Ralf & Karl, Jürgen & Dillig, Marius, 2021. "Scenarios for the integration of renewable gases into the German natural gas market – A simulation-based optimisation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    4. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    5. Adekoya, Oluwasegun B. & Olabode, Joshua K. & Rafi, Syed K., 2021. "Renewable energy consumption, carbon emissions and human development: Empirical comparison of the trajectories of world regions," Renewable Energy, Elsevier, vol. 179(C), pages 1836-1848.
    6. Maruf, Md. Nasimul Islam, 2021. "Open model-based analysis of a 100% renewable and sector-coupled energy system–The case of Germany in 2050," Applied Energy, Elsevier, vol. 288(C).
    7. Chaymae Boubii & Ismail El Kafazi & Rachid Bannari & Brahim El Bhiri & Badre Bossoufi & Hossam Kotb & Kareem M. AboRas & Ahmed Emara & Badr Nasiri, 2024. "Synergizing Wind and Solar Power: An Advanced Control System for Grid Stability," Sustainability, MDPI, vol. 16(2), pages 1-47, January.
    8. Izabela Horzela & Sławomir Gromadzki & Jarosław Gryz & Tomasz Kownacki & Aneta Nowakowska-Krystman & Marzena Piotrowska-Trybull & Radosław Wisniewski, 2021. "Energy Portfolio of the Eastern Poland Macroregion in the European Union," Energies, MDPI, vol. 14(24), pages 1-28, December.
    9. 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.
    10. Hafiz, Faeza & Rodrigo de Queiroz, Anderson & Fajri, Poria & Husain, Iqbal, 2019. "Energy management and optimal storage sizing for a shared community: A multi-stage stochastic programming approach," Applied Energy, Elsevier, vol. 236(C), pages 42-54.
    11. Tobias Junne & Sonja Simon & Jens Buchgeister & Maximilian Saiger & Manuel Baumann & Martina Haase & Christina Wulf & Tobias Naegler, 2020. "Environmental Sustainability Assessment of Multi-Sectoral Energy Transformation Pathways: Methodological Approach and Case Study for Germany," Sustainability, MDPI, vol. 12(19), pages 1-28, October.
    12. Dranka, Géremi Gilson & Ferreira, Paula, 2018. "Planning for a renewable future in the Brazilian power system," Energy, Elsevier, vol. 164(C), pages 496-511.
    13. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2018. "A quantitative analysis of Japan's optimal power generation mix in 2050 and the role of CO2-free hydrogen," Energy, Elsevier, vol. 165(PB), pages 1200-1219.
    14. Farooq, Umar & Ahmed, Jaleel & Shahbaz, Muhammad, 2022. "How various energy sources affect industrial investment? Empirical evidence from Asian economies," Energy, Elsevier, vol. 248(C).
    15. Abdul Rehman & Laura Mariana Cismas & Maria Daniela Otil, 2022. "Electrical Energy Dilemma and CO 2 Emission in Pakistan: Decomposing the Positive and Negative Shocks by Using an Asymmetric Technique," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    16. Victor I. Espinosa & José Antonio Peña-Ramos & Fátima Recuero-López, 2021. "The Political Economy of Rent-Seeking: Evidence from Spain’s Support Policies for Renewable Energy," Energies, MDPI, vol. 14(14), pages 1-16, July.
    17. Paulo Vitor Larroyd & Renata Pedrini & Felipe Beltrán & Gabriel Teixeira & Erlon Cristian Finardi & Lucas Borges Picarelli, 2022. "Dealing with Negative Inflows in the Long-Term Hydrothermal Scheduling Problem," Energies, MDPI, vol. 15(3), pages 1-19, February.
    18. Miranda, Raul & Simoes, Sofia & Szklo, Alexandre & Schaeffer, Roberto, 2019. "Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model," Energy, Elsevier, vol. 167(C), pages 791-803.
    19. Zida Song & Quan Liu & Zhigen Hu & Chunsheng Zhang & Jinming Ren & Zhexin Wang & Jianhai Tian, 2020. "Construction Diversion Risk Assessment for Hydropower Development on Sediment-Rich Rivers," Energies, MDPI, vol. 13(4), pages 1-20, February.
    20. Sven Teske & Thomas Pregger & Sonja Simon & Tobias Naegler & Johannes Pagenkopf & Özcan Deniz & Bent van den Adel & Kate Dooley & Malte Meinshausen, 2021. "It Is Still Possible to Achieve the Paris Climate Agreement: Regional, Sectoral, and Land-Use Pathways," Energies, MDPI, vol. 14(8), pages 1-25, April.

    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:gam:jeners:v:13:y:2020:i:10:p:2564-:d:359833. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.