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Fuel cell transmission integrated grid energy resources to support generation-constrained power systems

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  • Novoa, Laura
  • Neal, Russ
  • Samuelsen, Scott
  • Brouwer, Jack

Abstract

This paper estimates operational benefits and opportunities for utility-scale, distributed generation resources, called Transmission Integrated Grid Energy Resource (TIGER) stations herein, to support the electric power grid. Efficient, near-zero-emissions, high-temperature Fuel Cells fed by natural gas, operate as the generation source. For analysis, we use the real-world case of the transmission system in Southern California associated with the closure of the San Onofre nuclear power plant, which triggered the need for supplemental generation support and grid reliability. In this context, TIGER stations emerge as an opportunity to enhance grid characteristics. Steady-state power flow simulations were carried out for different TIGER station deployments. Results show that TIGER stations reduce line losses and provide local voltage support. The installation of only three TIGER stations operating at 70 MW/70 MVAR, or 100 MVAR each, was able to maintain voltage throughout at 0.98 p.u. or above when it otherwise had dropped to near 0.92 p.u. when the 2.0 GW nuclear plant went offline. The best TIGER placement was proven to always be at the weakest point in the system (at the end of the circuit, at the lowest voltage bus) as opposed to being distributed across nearby buses.

Suggested Citation

  • Novoa, Laura & Neal, Russ & Samuelsen, Scott & Brouwer, Jack, 2020. "Fuel cell transmission integrated grid energy resources to support generation-constrained power systems," Applied Energy, Elsevier, vol. 276(C).
    • Handle: RePEc:eee:appene:v:276:y:2020:i:c:s0306261920309971
    DOI: 10.1016/j.apenergy.2020.115485
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    1. Jamil, Majid & Anees, Ahmed Sharique, 2016. "Optimal sizing and location of SPV (solar photovoltaic) based MLDG (multiple location distributed generator) in distribution system for loss reduction, voltage profile improvement with economical bene," Energy, Elsevier, vol. 103(C), pages 231-239.
    2. Shaffer, Brendan & Tarroja, Brian & Samuelsen, Scott, 2015. "Dispatch of fuel cells as Transmission Integrated Grid Energy Resources to support renewables and reduce emissions," Applied Energy, Elsevier, vol. 148(C), pages 178-186.
    3. Akorede, Mudathir Funsho & Hizam, Hashim & Pouresmaeil, Edris, 2010. "Distributed energy resources and benefits to the environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 724-734, February.
    4. Pepermans, G. & Driesen, J. & Haeseldonckx, D. & Belmans, R. & D'haeseleer, W., 2005. "Distributed generation: definition, benefits and issues," Energy Policy, Elsevier, vol. 33(6), pages 787-798, April.
    5. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2017. "Generation expansion planning with high share of renewables of variable output," Applied Energy, Elsevier, vol. 190(C), pages 1275-1288.
    6. Anaya, Karim L. & Pollitt, Michael G., 2017. "Going smarter in the connection of distributed generation," Energy Policy, Elsevier, vol. 105(C), pages 608-617.
    7. Barelli, L. & Bidini, G. & Ottaviano, A., 2016. "Solid oxide fuel cell modelling: Electrochemical performance and thermal management during load-following operation," Energy, Elsevier, vol. 115(P1), pages 107-119.
    8. Eichman, Joshua D. & Mueller, Fabian & Tarroja, Brian & Schell, Lori Smith & Samuelsen, Scott, 2013. "Exploration of the integration of renewable resources into California's electric system using the Holistic Grid Resource Integration and Deployment (HiGRID) tool," Energy, Elsevier, vol. 50(C), pages 353-363.
    9. Thangavelu, Sundar Raj & Khambadkone, Ashwin M. & Karimi, Iftekhar A., 2015. "Long-term optimal energy mix planning towards high energy security and low GHG emission," Applied Energy, Elsevier, vol. 154(C), pages 959-969.
    10. Koltsaklis, Nikolaos E. & Georgiadis, Michael C., 2015. "A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints," Applied Energy, Elsevier, vol. 158(C), pages 310-331.
    11. Abdullah, M.A. & Muttaqi, K.M. & Agalgaonkar, A.P., 2015. "Sustainable energy system design with distributed renewable resources considering economic, environmental and uncertainty aspects," Renewable Energy, Elsevier, vol. 78(C), pages 165-172.
    12. Guerra, Omar J. & Tejada, Diego A. & Reklaitis, Gintaras V., 2016. "An optimization framework for the integrated planning of generation and transmission expansion in interconnected power systems," Applied Energy, Elsevier, vol. 170(C), pages 1-21.
    13. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Kopanos, Georgios M. & Pistikopoulos, Efstratios N. & Georgiadis, Michael C., 2014. "A spatial multi-period long-term energy planning model: A case study of the Greek power system," Applied Energy, Elsevier, vol. 115(C), pages 456-482.
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