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Adaptive intelligent power systems: Active distribution networks

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  • McDonald, Jim

Abstract

Electricity networks are extensive and well established. They form a key part of the infrastructure that supports industrialised society. These networks are moving from a period of stability to a time of potentially major transition, driven by a need for old equipment to be replaced, by government policy commitments to cleaner and renewable sources of electricity generation, and by change in the power industry. This paper looks at moves towards active distribution networks. The novel transmission and distribution systems of the future will challenge today's system designs. They will cope with variable voltages and frequencies, and will offer more flexible, sustainable options. Intelligent power networks will need innovation in several key areas of information technology. Active control of flexible, large-scale electrical power systems is required. Protection and control systems will have to react to faults and unusual transient behaviour and ensure recovery after such events. Real-time network simulation and performance analysis will be needed to provide decision support for system operators, and the inputs to energy and distribution management systems. Advanced sensors and measurement will be used to achieve higher degrees of network automation and better system control, while pervasive communications will allow networks to be reconfigured by intelligent systems.

Suggested Citation

  • McDonald, Jim, 2008. "Adaptive intelligent power systems: Active distribution networks," Energy Policy, Elsevier, vol. 36(12), pages 4346-4351, December.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:12:p:4346-4351
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    Cited by:

    1. Bolton, Ronan & Foxon, Timothy J., 2015. "Infrastructure transformation as a socio-technical process — Implications for the governance of energy distribution networks in the UK," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 538-550.
    2. Komsan Hongesombut & Suphicha Punyakunlaset & Sillawat Romphochai, 2021. "Under Frequency Protection Enhancement of an Islanded Active Distribution Network Using a Virtual Inertia-Controlled-Battery Energy Storage System," Sustainability, MDPI, vol. 13(2), pages 1-39, January.
    3. Ghadi, M. Jabbari & Ghavidel, Sahand & Rajabi, Amin & Azizivahed, Ali & Li, Li & Zhang, Jiangfeng, 2019. "A review on economic and technical operation of active distribution systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 38-53.
    4. Kejia Yang & Kaidong Feng, 2024. "Going beyond catch up: two governance models of China’s low-carbon energy transitions," Working Papers on Innovation Studies 20240108, Centre for Technology, Innovation and Culture, University of Oslo.
    5. Oleksandr Miroshnyk & Oleksandr Moroz & Taras Shchur & Andrii Chepizhnyi & Mohamed Qawaqzeh & Sławomir Kocira, 2023. "Investigation of Smart Grid Operation Modes with Electrical Energy Storage System," Energies, MDPI, vol. 16(6), pages 1-13, March.
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    9. Lehtonen, Markku & Nye, Sheridan, 2009. "History of electricity network control and distributed generation in the UK and Western Denmark," Energy Policy, Elsevier, vol. 37(6), pages 2338-2345, June.
    10. Boyuan Wei & Geert Deconinck, 2019. "Distributed Optimization in Low Voltage Distribution Networks via Broadcast Signals †," Energies, MDPI, vol. 13(1), pages 1-18, December.
    11. Yuan, Jiahai & Xu, Yan & Hu, Zhaoguang, 2012. "Delivering power system transition in China," Energy Policy, Elsevier, vol. 50(C), pages 751-772.
    12. Ilia Shushpanov & Konstantin Suslov & Pavel Ilyushin & Denis N. Sidorov, 2021. "Towards the Flexible Distribution Networks Design Using the Reliability Performance Metric," Energies, MDPI, vol. 14(19), pages 1-24, September.
    13. de Joode, J. & Jansen, J.C. & van der Welle, A.J. & Scheepers, M.J.J., 2009. "Increasing penetration of renewable and distributed electricity generation and the need for different network regulation," Energy Policy, Elsevier, vol. 37(8), pages 2907-2915, August.
    14. Wolfe, Philip, 2008. "The implications of an increasingly decentralised energy system," Energy Policy, Elsevier, vol. 36(12), pages 4509-4513, December.
    15. Ferrari, Mario L. & Pascenti, Matteo & Sorce, Alessandro & Traverso, Alberto & Massardo, Aristide F., 2014. "Real-time tool for management of smart polygeneration grids including thermal energy storage," Applied Energy, Elsevier, vol. 130(C), pages 670-678.
    16. Poppen, Silvia, 2014. "Auswirkungen dezentraler Erzeugungsanlagen auf das Stromversorgungssystem: Ausgestaltungsmöglichkeiten der Bereitstellung neuer Erzeugungsanlagen," Arbeitspapiere 146, University of Münster, Institute for Cooperatives.
    17. Karthikeyan Nainar & Florin Iov, 2020. "Smart Meter Measurement-Based State Estimation for Monitoring of Low-Voltage Distribution Grids," Energies, MDPI, vol. 13(20), pages 1-18, October.
    18. Hao Xiao & Wei Pei & Zuomin Dong & Li Kong & Dan Wang, 2018. "Application and Comparison of Metaheuristic and New Metamodel Based Global Optimization Methods to the Optimal Operation of Active Distribution Networks," Energies, MDPI, vol. 11(1), pages 1-29, January.
    19. Zhaowen Liu & Martin de Jong & Fen Li & Nikki Brand & Marcel Hertogh & Liang Dong, 2020. "Towards Developing a New Model for Inclusive Cities in China—The Case of Xiong’an New Area," Sustainability, MDPI, vol. 12(15), pages 1-24, July.
    20. Veldman, Else & Gibescu, Madeleine & Slootweg, Han (J.G.) & Kling, Wil L., 2013. "Scenario-based modelling of future residential electricity demands and assessing their impact on distribution grids," Energy Policy, Elsevier, vol. 56(C), pages 233-247.
    21. Cossent, Rafael & Gómez, Tomás & Olmos, Luis, 2011. "Large-scale integration of renewable and distributed generation of electricity in Spain: Current situation and future needs," Energy Policy, Elsevier, vol. 39(12), pages 8078-8087.
    22. Arends, Marcel & Hendriks, Paul H.J., 2014. "Smart grids, smart network companies," Utilities Policy, Elsevier, vol. 28(C), pages 1-11.
    23. Gilbert Ahamer, 2022. "Why Biomass Fuels Are Principally Not Carbon Neutral," Energies, MDPI, vol. 15(24), pages 1-39, December.

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