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IntelliSense technology in the new power systems

Author

Listed:
  • Xie, Haonan
  • Jiang, Meihui
  • Zhang, Dongdong
  • Goh, Hui Hwang
  • Ahmad, Tanveer
  • Liu, Hui
  • Liu, Tianhao
  • Wang, Shuyao
  • Wu, Thomas

Abstract

The energy and climate crises have accelerated the decarbonization of electric power systems. An important part of this decarbonization process, along with the incorporation of renewable and alternative energies, is the emergence of Carbon-neutral, intelligent systems technologies, coupled with digital transformation. These have brought new dynamics to the electric power systems transformation. Significant amounts of renewable energy, massive power electronics, changes in market planning, policy influence, demand response, and emerging technologies all become the essential components of new power systems, bringing remarkable changes to this new power systems' enabling technologies: IntelliSense. A novel IntelliSense framework driven by new power system requirements is proposed. The development status, classification characteristics, the application of intelligent sensors, intelligent sensor flexible charging, and multisource plus multidimensional big data processing are all discussed in detail. They are interspersed with discussions of critical features of new power systems, the uncertainties inherent in big data about power, wireless power transfer technologies, edge-fog-cloud collaborative computing, intelligent algorithms, and other core elements of IntelliSense. Finally, ten core IntelliSense technology challenges and five major future opportunities are summarized and are expected to serve as a reference and spark new ideas for low-carbon power system development.

Suggested Citation

  • Xie, Haonan & Jiang, Meihui & Zhang, Dongdong & Goh, Hui Hwang & Ahmad, Tanveer & Liu, Hui & Liu, Tianhao & Wang, Shuyao & Wu, Thomas, 2023. "IntelliSense technology in the new power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:rensus:v:177:y:2023:i:c:s1364032123000850
    DOI: 10.1016/j.rser.2023.113229
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    as
    1. Qi, Nanjian & Yin, Yajiang & Dai, Keren & Wu, Chengjun & Wang, Xiaofeng & You, Zheng, 2021. "Comprehensive optimized hybrid energy storage system for long-life solar-powered wireless sensor network nodes," Applied Energy, Elsevier, vol. 290(C).
    2. Li, Yang & Zhang, Meng & Chen, Chen, 2022. "A Deep-Learning intelligent system incorporating data augmentation for Short-Term voltage stability assessment of power systems," Applied Energy, Elsevier, vol. 308(C).
    3. Maciej Chojowski & Aleksander Dziadecki & Marcin Baszyński & Roman Dudek & Andrzej Stobiecki & Józef Skotniczny, 2021. "Wide Bandwidth and Inexpensive Current Sensor for Power Electronics—An Augmented LEM Current Sensor," Energies, MDPI, vol. 14(14), pages 1-14, July.
    4. Yucekaya, A., 2022. "Electricity trading for coal-fired power plants in Turkish power market considering uncertainty in spot, derivatives and bilateral contract market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    5. Guerrero-Lemus, R. & Cañadillas-Ramallo, D. & Reindl, T. & Valle-Feijóo, J.M., 2019. "A simple big data methodology and analysis of the specific yield of all PV power plants in a power system over a long time period," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 123-132.
    6. Ashraf Virk, Mati-ur-Rasool & Mysorewala, Muhammad Faizan & Cheded, Lahouari & Aliyu, AbdulRahman, 2022. "Review of energy harvesting techniques in wireless sensor-based pipeline monitoring networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    7. Shafie, S.M. & Mahlia, T.M.I. & Masjuki, H.H. & Andriyana, A., 2011. "Current energy usage and sustainable energy in Malaysia: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4370-4377.
    8. Marszal-Pomianowska, Anna & Widén, Joakim & Le Dréau, Jérôme & Heiselberg, Per & Bak-Jensen, Birgitte & de Cerio Mendaza, Iker Diaz, 2020. "Operation of power distribution networks with new and flexible loads: A case of existing residential low voltage network," Energy, Elsevier, vol. 202(C).
    9. Song, Yingjie & Ji, Qiang & Du, Ya-Juan & Geng, Jiang-Bo, 2019. "The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets," Energy Economics, Elsevier, vol. 84(C).
    10. Yanine, Franco F. & Sauma, Enzo E., 2013. "Review of grid-tie micro-generation systems without energy storage: Towards a new approach to sustainable hybrid energy systems linked to energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 60-95.
    11. Yanine, Franco Fernando & Caballero, Federico I. & Sauma, Enzo E. & Córdova, Felisa M., 2014. "Building sustainable energy systems: Homeostatic control of grid-connected microgrids, as a means to reconcile power supply and energy demand response management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1168-1191.
    12. Skea, Jim & van Diemen, Renée & Portugal-Pereira, Joana & Khourdajie, Alaa Al, 2021. "Outlooks, explorations and normative scenarios: Approaches to global energy futures compared," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    13. Yanine, Franco Fernando & Caballero, Federico I. & Sauma, Enzo E. & Córdova, Felisa M., 2014. "Homeostatic control, smart metering and efficient energy supply and consumption criteria: A means to building more sustainable hybrid micro-generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 235-258.
    14. Edmonds, Lawryn & Derby, Melanie & Hill, Mary & Wu, Hongyu, 2021. "Coordinated operation of water and electricity distribution networks with variable renewable energy and distribution locational marginal pricing," Renewable Energy, Elsevier, vol. 177(C), pages 1438-1450.
    15. Hafeez, Ghulam & Khan, Imran & Jan, Sadaqat & Shah, Ibrar Ali & Khan, Farrukh Aslam & Derhab, Abdelouahid, 2021. "A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid," Applied Energy, Elsevier, vol. 299(C).
    16. Barja-Martinez, Sara & Aragüés-Peñalba, Mònica & Munné-Collado, Íngrid & Lloret-Gallego, Pau & Bullich-Massagué, Eduard & Villafafila-Robles, Roberto, 2021. "Artificial intelligence techniques for enabling Big Data services in distribution networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    17. Fei Lu & Hua Zhang & Chris Mi, 2017. "A Review on the Recent Development of Capacitive Wireless Power Transfer Technology," Energies, MDPI, vol. 10(11), pages 1-30, November.
    18. Li, Fuxiang & Wu, Wei, 2022. "Coupled electrical-thermal performance estimation of photovoltaic devices: A transient multiphysics framework with robust parameter extraction and 3-D thermal analysis," Applied Energy, Elsevier, vol. 319(C).
    19. Yanine, Fernando & Sanchez-Squella, Antonio & Barrueto, Aldo & Tosso, Joshua & Cordova, Felisa M. & Rother, Hans C., 2018. "Reviewing homeostasis of sustainable energy systems: How reactive and predictive homeostasis can enable electric utilities to operate distributed generation as part of their power supply services," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2879-2892.
    20. Li, Shuijia & Gong, Wenyin & Gu, Qiong, 2021. "A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    21. Gjorgiev, Blazhe & Sansavini, Giovanni, 2022. "Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    22. Yu, Songyuan & Fang, Fang & Liu, Yajuan & Liu, Jizhen, 2019. "Uncertainties of virtual power plant: Problems and countermeasures," Applied Energy, Elsevier, vol. 239(C), pages 454-470.
    23. Andrzej Wetula & Andrzej Bień & Mrunal Parekh, 2021. "New Sensor for Medium- and High-Voltage Measurement," Energies, MDPI, vol. 14(15), pages 1-12, July.
    24. Chhawchharia, Saransch & Sahoo, Sarat Kumar & Balamurugan, M. & Sukchai, Sukruedee & Yanine, Fernando, 2018. "Investigation of wireless power transfer applications with a focus on renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 888-902.
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    2. Lei, Xiang & Yu, Hang & Shao, Ziyun & Jian, Linni, 2023. "Optimal bidding and coordinating strategy for maximal marginal revenue due to V2G operation: Distribution system operator as a key player in China's uncertain electricity markets," Energy, Elsevier, vol. 283(C).
    3. Liu, Tianhao & Tian, Jun & Zhu, Hongyu & Goh, Hui Hwang & Liu, Hui & Wu, Thomas & Zhang, Dongdong, 2023. "Key technologies and developments of multi-energy system: Three-layer framework, modelling and optimisation," Energy, Elsevier, vol. 277(C).
    4. Xie, Haonan & Goh, Hui Hwang & Zhang, Dongdong & Sun, Hui & Dai, Wei & Kurniawan, Tonni Agustiono & Dennis Wong, M.L. & Teo, Kenneth Tze Kin & Goh, Kai Chen, 2024. "Eco-Energetical analysis of circular economy and community-based virtual power plants (CE-cVPP): A systems engineering-engaged life cycle assessment (SE-LCA) method for sustainable renewable energy de," Applied Energy, Elsevier, vol. 365(C).

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