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Evolution of dispatchable photovoltaic system integration with the electric power network for smart grid applications: A review

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  • Emmanuel, Michael
  • Rayudu, Ramesh

Abstract

A plug-and-play connection of spatially distributed microgrids with renewable and non-renewable energy sources is one of the proposed descriptions of the evolving smart grid. Moreover, there is a gradual shift on distributed generation (DG) over the years to focus more on renewable generation due to global incentivization, climatic issues (such as greenhouse gas emission), and energy market deregulation. This article places attention on photovoltaic (PV) system as an emerging power generation paradigm enabled by the evolving smart grid. One of the critical constraints in this game-changing technology is the high propensity for a mismatch between its power output and load profile characteristics, which could result into severe voltage violations, high losses and a larger reverse power during low load conditions. Consequently, the concept of dispatchability with load-following function for various PV deployment scenarios is crucial for the 21st century grid modernization. The dispatchable PV unit output is controllable when deployed with storage systems making it suitable for ancillary services and demand-side management application. Also, dispatchability implies the ability to remotely start and stop the operation of PV unit when needed to maintain grid reliability. This article presents various deployment scenarios of dispatchable PV units and their impacts on the evolving smart grid. Additionally, this paper reviews the evolution of control, monitoring and communication systems in the active distribution network, utility-interactive inverter technologies, dispatchable grid-connected hybrid system deployments, and communication network configuration for dispatchable distributed energy resource (DER) units integration into the electric power system (EPS).

Suggested Citation

  • Emmanuel, Michael & Rayudu, Ramesh, 2017. "Evolution of dispatchable photovoltaic system integration with the electric power network for smart grid applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 207-224.
    • Handle: RePEc:eee:rensus:v:67:y:2017:i:c:p:207-224
    DOI: 10.1016/j.rser.2016.09.010
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    5. Shen, Xiaojun & Wei, Hongyang & Wei, Li, 2020. "Study of trackside photovoltaic power integration into the traction power system of suburban elevated urban rail transit line," Applied Energy, Elsevier, vol. 260(C).
    6. Guillermo Almonacid-Olleros & Gabino Almonacid & David Gil & Javier Medina-Quero, 2022. "Evaluation of Transfer Learning and Fine-Tuning to Nowcast Energy Generation of Photovoltaic Systems in Different Climates," Sustainability, MDPI, vol. 14(5), pages 1-15, March.
    7. Ismael, Sherif M. & Abdel Aleem, Shady H.E. & Abdelaziz, Almoataz Y. & Zobaa, Ahmed F., 2019. "State-of-the-art of hosting capacity in modern power systems with distributed generation," Renewable Energy, Elsevier, vol. 130(C), pages 1002-1020.
    8. Emmanuel, Michael & Akinyele, Daniel & Rayudu, Ramesh, 2017. "Techno-economic analysis of a 10 kWp utility interactive photovoltaic system at Maungaraki school, Wellington, New Zealand," Energy, Elsevier, vol. 120(C), pages 573-583.
    9. Pierro, Marco & Perez, Richard & Perez, Marc & Moser, David & Cornaro, Cristina, 2020. "Italian protocol for massive solar integration: Imbalance mitigation strategies," Renewable Energy, Elsevier, vol. 153(C), pages 725-739.
    10. Kumbuso Joshua Nyoni & Anesu Maronga & Paul Gerard Tuohy & Agabu Shane, 2021. "Hydro–Connected Floating PV Renewable Energy System and Onshore Wind Potential in Zambia," Energies, MDPI, vol. 14(17), pages 1-42, August.
    11. Pierro, Marco & De Felice, Matteo & Maggioni, Enrico & Moser, David & Perotto, Alessandro & Spada, Francesco & Cornaro, Cristina, 2020. "Residual load probabilistic forecast for reserve assessment: A real case study," Renewable Energy, Elsevier, vol. 149(C), pages 508-522.

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