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The impact of energy storage in power systems: The case of Brazil’s Northeastern grid

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  • Oliveira, Isabela Alves de
  • Schaeffer, Roberto
  • Szklo, Alexandre

Abstract

In this work, a mixed integer linear mathematical model for the energy storage devices dispatch in an interconnected power system is proposed. This model was implemented in a computer program written in C++ that outputs a linear program in LP format to be solved in any commercial or free solver. A case study of Brazil’s Northeastern Power System is presented to evaluate the impact of the use of energy storage devices on the operational cost of a system with renewable variable energy sources, such as wind and solar, as well as hydroelectricity. Alternative scenarios were considered, where the amount of wind energy was changed in order to assess the impact of wind energy growth on system performance. Simulation results show that up to 15% O&M cost reduction is attainable in this scenario.

Suggested Citation

  • Oliveira, Isabela Alves de & Schaeffer, Roberto & Szklo, Alexandre, 2017. "The impact of energy storage in power systems: The case of Brazil’s Northeastern grid," Energy, Elsevier, vol. 122(C), pages 50-61.
    • Handle: RePEc:eee:energy:v:122:y:2017:i:c:p:50-61
    DOI: 10.1016/j.energy.2017.01.064
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    References listed on IDEAS

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    1. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2014. "Short-term electricity planning with increase wind capacity," Energy, Elsevier, vol. 69(C), pages 12-22.
    2. Bridier, Laurent & David, Mathieu & Lauret, Philippe, 2014. "Optimal design of a storage system coupled with intermittent renewables," Renewable Energy, Elsevier, vol. 67(C), pages 2-9.
    3. Soares M.C. Borba, Bruno & Szklo, Alexandre & Schaeffer, Roberto, 2012. "Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil," Energy, Elsevier, vol. 37(1), pages 469-481.
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    2. Herrera, Milton M. & Dyner, Isaac & Cosenz, Federico, 2020. "Benefits from energy policy synchronisation of Brazil’s North-Northeast interconnection," Renewable Energy, Elsevier, vol. 162(C), pages 427-437.
    3. Zaroni, Hebert & Maciel, Letícia B. & Carvalho, Diego B. & Pamplona, Edson de O., 2019. "Monte Carlo Simulation approach for economic risk analysis of an emergency energy generation system," Energy, Elsevier, vol. 172(C), pages 498-508.
    4. Xu, Ying & Ren, Li & Zhang, Zhongping & Tang, Yuejin & Shi, Jing & Xu, Chen & Li, Jingdong & Pu, Dongsheng & Wang, Zhuang & Liu, Huajun & Chen, Lei, 2018. "Analysis of the loss and thermal characteristics of a SMES (Superconducting Magnetic Energy Storage) magnet with three practical operating conditions," Energy, Elsevier, vol. 143(C), pages 372-384.
    5. Badami, Marco & Fambri, Gabriele, 2019. "Optimising energy flows and synergies between energy networks," Energy, Elsevier, vol. 173(C), pages 400-412.
    6. Emmanouil, Stergios & Nikolopoulos, Efthymios I. & François, Baptiste & Brown, Casey & Anagnostou, Emmanouil N., 2021. "Evaluating existing water supply reservoirs as small-scale pumped hydroelectric storage options – A case study in Connecticut," Energy, Elsevier, vol. 226(C).

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