VOLTAGE MASTERY: TACKLING URBAN CHALLENGES THROUGH EFFICIENT POWER CONTROL IN HIGH-VOLTAGE GRIDS
Abstract
Ensuring the security and reliability of power supply stands as a pivotal necessity in today's modern society, impacting a wide array of critical sectors, including telecommunications, finance, water supply, healthcare, and manufacturing. The effective safety warning mechanism, with its capacity for sensitive and precise hazard forecasting and timely dissemination of warnings, plays an indispensable role in averting disasters and mitigating the resultant harm to life and property. In recent years, extensive efforts have been dedicated to comprehending the behavior of power systems during large-scale blackouts, necessitating simulations to study the impact of diverse factors. Concurrently, the demand for grid risk early warning methods has surged in the realm of power emergency management.
This paper seeks to provide a holistic perspective on the subject by delineating three crucial dimensions of the smart grid security defense system.
Keywords:
Power Supply Security, Safety Warning Mechanism, Grid Risk Early Warning, Smart Grid Security, Power Emergency ManagementDownloads
Published
Issue
Section
How to Cite
License
Copyright (c) 2023 Anderson James Emily
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Maganioti A.E., Chrissanthi H.D., Charalabos P.C., Andreas R.D., George P.N. and Christos C.N. (2010) Cointegration of Event-Related Potential (ERP) Signals in Experiments with Different Electromagnetic Field (EMF) Conditions. Health, 2, 400-406.
Bootorabi F., Haapasalo J., Smith E., Haapasalo H. and Parkkila S. (2011) Carbonic Anhydrase VII—A Potential Prognostic Marker in Gliomas. Health, 3, 6-12.
Rafinia Ali, Rezaei Navid, Moshtagh Jamal. Optimal design of an adaptive underfrequency load shedding scheme in smart grids considering operational uncertainties. Int J Electr Power Energy Syst 2020; 121: 106137. https://doi.org/10.1016/j.ijepes.2020.106137.
Wang X Y, Huang Y F, Zhu H J, Jiang H F. Study on Variable Lane Control Method Application in ITS. Basic & Clinical Pharmacology & Toxicology, 2019(10):14-22.
M. F. Tahir, H. Chen, A. Khan, M. S. Javed, K. M. Cheema, and N. A. Laraik, “Significance of demand response in light of current pilot projects in China and devising a problem solution for future advancements,” Technol. Soc., vol. 63, no. 101374, pp. 1–12, 2020, doi: 10.1016/j.techsoc. 2020.101374.
S.S. Biswas, A.K. Srivastava, D. Whitehead, (2015) A real-time data-driven algorithm for health diagnosis and prognosis of a circuit breaker trip assembly, IEEE Trans. Indust. Electron. 62 (6) 3822– 3831, https://doi.org/10.1109/TIE.2014.2362498. June.
Yingmeng Xiang, Lingfeng Wang, (2017) A game-theoretic study of load redistribution attack and defense in power systems, Electric Power Systems Research 151 12–25, https://doi.org/ 10.1016 /j.epsr. 2017.05.020. Oct.
Y. Liu, G. Zhang, C. Zhao, S. Lei, H. Qin, J. Yang, (2020) Mechanical condition identification and prediction of spring operating mechanism of high voltage circuit breaker, IEEE Access 8 210328– 210338, https://doi.org/10.1109/ACCESS.2020.3039055.
A.A. Razi-Kazemi, K. Niayesh, R. Nilchi, (2019) A probabilistic model-aided failure prediction approach for spring-type operating mechanism of high-voltage circuit breakers, IEEE Trans. Power Delivery 34 (4) 1280–1290, https://doi.org/10.1109/TPWRD.2018.2881841. Aug.
M. Tavakoli, M. Nafar, (2020) Human reliability analysis in maintenance team of power transmission system protection, Prot Control Mod Power Syst 5 26. https://doi.org/ 10.1186/ s41601-020-00176-6.
I. Khan, (2021) “Household factors and electrical peak demand: a review for further assessment,” Adv. Build. Energy Res., vol. 15, no. 4, pp. 409–441, doi: 10.1080/17512549.2019.1575770.
S. Muralidhara, N. Hegde, and R. PM, (2020) “An internet of things-based smart energy meter for monitoring device-level consumption of energy,” Comput. Electr. Eng., vol. 87, no. 106772, pp. 1–10, doi: 10.1016/j.compeleceng. 2020.106772.
D. B. Avancini, J. J. P. C. Rodrigues, R. A. L. Rabelo, A. K. Das, S. Kozlov, and P. Solic, (2020) “A new IoT based smart energy meter for smart grids,” Int. J. Energy Res., vol. 45, pp. 189–202, 2020, doi: 10.1002/er.5177.
S. Chakraborty, S. Das, T. Sidhu, and A. K. Siva, (2021) “Smart meters for enhancing protection and monitoring functions in emerging distribution systems,” Int. J. Electr. Power Energy Syst., vol. 127, no. 106626, pp. 1–15, doi: 10.1016/j.ijepes. 2020.106626.
T. Karthick, S. Charles Raja, J. Jeslin Drusila Nesamalar, and K. Chandrasekaran, (2021) “Design of IoT based smart compact energy meter for monitoring and controlling the usage of energy and power quality issues with demand side management for a commercial building,” Sustain. Energy, Grids Networks, vol. 26, no. 100454, pp. 1–15, doi: 10.1016/j.segan. 2021.100454
Tian, C., Xu, Z., Wang, L., & Liu, Y. (2023). Arc fault detection using artificial intelligence: Challenges and benefits. Mathematical Biosciences and Engineering, 20(7), 12404-12432.
Umma Sadia. Three Phase Power Flow Calculation of Weak Loop Distribution Network with Multiple Distributed Generators. Distributed Processing System (2022), Vol. 3, Issue 1: 36-45. https://doi.org/10.38007/DPS.2022.030105.
