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Coordinating the Energy Generation of the Brazilian National Hydrothermal Electrical Generating System

Author

Listed:
  • L. A. Terry

    (Centro de Pesquisas de Energia Elétrica - CEPEL, PO Box 2754, Rio de Janeiro, Brazil)

  • M. V. F. Pereira

    (Centro de Pesquisas de Energia Elétrica - CEPEL, PO Box 2754, Rio de Janeiro, Brazil)

  • T. A. Araripe Neto

    (Centrais Elétricas Brasileiras S. A.-ELETROBRÁS, PO Box 1639, Rio de Janeiro, Brazil)

  • L. F. C. A. Silva

    (Centrais Elétricas Brasileiras S. A.-ELETROBRÁS, PO Box 1639, Rio de Janeiro, Brazil)

  • P. R. H. Sales

    (Centrais Elétricas Brasileiras S. A.-ELETROBRÁS, PO Box 1639, Rio de Janeiro, Brazil)

Abstract

Coordination of the operation of the large Brazilian multi-owned hydrothermal generating system, at the institutional level, was achieved through a pool structure in which all member utilities share the cost of operating the thermoelectric system. At the technical level, a stochastic dynamic programming model, SDP, determines the optimal allocation of hydro and thermal resources in the system. The SDP model was extensively validated by 18 electrical utilities and officially adopted by the pool in 1979. Comparisons with a previously adopted model projected expected savings of $87 million in five years, a 28 percent reduction in operating costs. Actual savings from 1979 to 1984 are about $260 million. The SDP model is also the focal point of a chain of generation expansion models, insuring that the probabilistic criteria used for planning and the operation of the Brazilian system are compatible.

Suggested Citation

  • L. A. Terry & M. V. F. Pereira & T. A. Araripe Neto & L. F. C. A. Silva & P. R. H. Sales, 1986. "Coordinating the Energy Generation of the Brazilian National Hydrothermal Electrical Generating System," Interfaces, INFORMS, vol. 16(1), pages 16-38, February.
    • Handle: RePEc:inm:orinte:v:16:y:1986:i:1:p:16-38
    DOI: 10.1287/inte.16.1.16
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    Citations

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    Cited by:

    1. Ferreira, Pedro Guilherme Costa & Oliveira, Fernando Luiz Cyrino & Souza, Reinaldo Castro, 2015. "The stochastic effects on the Brazilian Electrical Sector," Energy Economics, Elsevier, vol. 49(C), pages 328-335.
    2. S. M. S. Carvalho & A. R. L. Oliveira & C. Lyra, 2018. "Predispatch of hydroelectric power systems with modifications in network topologies," Annals of Operations Research, Springer, vol. 261(1), pages 135-153, February.
    3. Shapiro, Alexander & Tekaya, Wajdi & da Costa, Joari Paulo & Soares, Murilo Pereira, 2013. "Risk neutral and risk averse Stochastic Dual Dynamic Programming method," European Journal of Operational Research, Elsevier, vol. 224(2), pages 375-391.
    4. Steve Batstone & Geoff Pritchard & Golbon Zakeri, 2016. "Noninvasive Test Scheduling in Live Electricity Markets at Transpower New Zealand," Interfaces, INFORMS, vol. 46(6), pages 482-492, December.
    5. Andre Luiz Diniz & Maria Elvira P. Maceira & Cesar Luis V. Vasconcellos & Debora Dias J. Penna, 2020. "A combined SDDP/Benders decomposition approach with a risk-averse surface concept for reservoir operation in long term power generation planning," Annals of Operations Research, Springer, vol. 292(2), pages 649-681, September.
    6. Liping Li & Pan Liu & David Rheinheimer & Chao Deng & Yanlai Zhou, 2014. "Identifying Explicit Formulation of Operating Rules for Multi-Reservoir Systems Using Genetic Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(6), pages 1545-1565, April.
    7. Pan Liu & Shenglian Guo & Xiaowei Xu & Jionghong Chen, 2011. "Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3177-3200, October.
    8. Drouin, Nicol & Gautier, Antoine & Lamond, Bernard F. & Lang, Pascal, 1996. "Piecewise affine approximations for the control of a one-reservoir hydroelectric system," European Journal of Operational Research, Elsevier, vol. 89(1), pages 53-69, February.
    9. Ignacio Marín Cruz & Mohamed Badaoui & Ricardo Mota Palomino, 2023. "Medium-Term Hydrothermal Scheduling of the Infiernillo Reservoir Using Stochastic Dual Dynamic Programming (SDDP): A Case Study in Mexico," Energies, MDPI, vol. 16(17), pages 1-26, August.
    10. Huang, Xu & Maçaira, Paula Medina & Hassani, Hossein & Cyrino Oliveira, Fernando Luiz & Dhesi, Gurjeet, 2019. "Hydrological natural inflow and climate variables: Time and frequency causality analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 480-495.

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    industries: electric;

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