Differentiated Investment Layout and Benefit Analysis of Power Distribution Network Based on Risk Assessment
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Abstract
Against the backdrop of accelerating the construction of new power systems and the transformation of distribution network investment towards lean and efficient, traditional average and homogeneous investment models are no longer able to adapt to significant differences in regional load characteristics, grid structures, equipment levels, new energy access, and operational risks. These factors result in critical challenges, including inefficient capital allocation, persistent vulnerabilities in weak network segments, and suboptimal comprehensive benefits. This article takes the overall risk control of the distribution network as the core orientation, constructs a five dimensional comprehensive risk assessment system including equipment risk, operational risk, power supply reliability risk, new energy consumption risk, and external environmental risk, and forms a standardized risk level classification method. The risk-oriented allocation model is closely related to planning of power distribution networks and new-energy access.
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References
V. F. Cerna, T. J. Dantas, E. Naderi, et al., “Optimal strategy to reduce energy waste in an electricity distribution network through direct/indirect bulk load control,” Energy, vol. 294, 130835, 2024, doi: 10.1016/j.energy.2024.130835.
B. Nasreddine, Z. Mohamed, S. Samir, et al., “Optimal design of wind energy generation in electricity distribution network based on technical-economic parameters,” Engineering Review: Međunarodni časopis namijenjen publiciranju originalnih istraživanjas aspekta analize konstrukcija, materijala i novih tehnologija u području strojarstva, brodogradnje, temeljnih tehničkih znanosti, elektrotehnike, računarstva i građevinarstva, vol. 43, no. 3, pp. 114–128, 2023, doi: 10.30765/er.2281.
O. Valarezo, C. P. J. Ávila, and T. Gómez, “Exploring the Interaction Between Electricity Distribution Network Reconfiguration and Local Flexibility Markets,” Current Sustainable/Renewable Energy Reports, vol. 10, no. 4, pp. 170–182, 2023, doi: 10.1007/s40518-023-00221-6.
X. Zirui, X. Yue, H. Yuan, et al., “Hosting capability assessment and enhancement of electric vehicles in electricity distribution networks,” Journal of Cleaner Production, vol. 398, 136638, 2023, doi: 10.1016/j.jclepro.2023.136638.
T. Mohammad, K. Saeedeh, and G. Mahsa, “A novel fuzzy network DEA model to evaluate efficiency of Iran’s electricity distribution network with sustainability considerations,” Sustainable Energy Technologies and Assessments, vol. 52, no. PC, 102269, 2022, doi: 10.1016/j.seta.2022.102269.
M. Dashtpeyma and R. Ghodsi, “Modelling study of resilience components for management system in electricity distribution network,” International Journal of Management and Enterprise Development, vol. 21, no. 2, pp. 133–163, 2022, doi: 10.1504/IJMED.2022.122091.
M. A. and J. B., “Preventive maintenance scheduling of electricity distribution network feeders to reduce undistributed energy: A case study in Iran,” Electric Power Systems Research, vol. 201, 107509, 2021, doi: 10.1016/j.epsr.2021.107509.
M. Dashtpeyma, R. Ghodsi, et al., “Resilient Electricity Distribution Network: Exploring Research and Managerial Implications,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. (prepublish), pp. 1–14, 2021, doi: 10.1007/s40998-021-00453-6.
M. Tavassoli, S. Ketabi, and M. Ghandehari, “Developing a network DEA model for sustainability analysis of Iran’s electricity distribution network,” International Journal of Electrical Power and Energy Systems, vol. 122, 106187, 2020, doi: 10.1016/j.ijepes.2020.106187.
Transportation - Transportation Electrification; Studies from University of Sydney Reveal New Findings on Transportation Electrification (Collaborative Planning for Electricity Distribution Network and Transportation System Considering Hydrogen Fuel Cell Vehicles), “Energy Weekly News,” 2020; 1248.
M. M. S. Hosseininejad, H. Mirsaeedi, S. Heydari, et al., “Self-healing enhancement through co-deployment of automatic switches and electric vehicle PLs in an electricity distribution network,” IET Generation, Transmission & Distribution, vol. 14, no. 17, pp. 3508–3517, 2020, doi: 10.1049/iet-gtd.2019.1235.
North Shropshire Electricity Distribution Network granted development consent, “M2 Presswire,” 2020.
Technologies Intelia Inc.; Patent Application Titled "Method And System For A Flicker-Free Light Dimmer In An Electricity Distribution Network" Published Online (USPTO 20200008278), “Journal of Engineering,” 2020.
Electrical Transmission and Distribution; Investigators at Islamic Azad University Report Findings in Electrical Transmission and Distribution (Decentralised self-healing model for gas and electricity distribution network), “Electronics Newsweekly,” 2019.
S. Sekizaki, I. Nishizaki, and T. Hayashida, “A many-objective evolutionary algorithm incorporating decision maker’s preference and its application to management of the electricity distribution network,” Journal of Multi-Criteria Decision Analysis, vol. 26, no. 3-4, pp. 165–186, 2019, doi: 10.1002/mcda.1680.
Research and Markets Adds Report: Global Trends in Electricity Distribution Network Intelligence, “Wireless News,” 2019.
Biarri Networks Pty Ltd.; Patent Application Titled "Method And System For Designing An Electricity Distribution Network" Published Online (USPTO 20190012408), “Politics & Government Week,” 2019.
POWER; EBRD to provide 12 bln tenge to Mangistau Electricity Distribution Network Co for network grid upgrades, “Interfax: Russia & CIS Energy Daily,” 2018.
S. Lazarou, V. Vita, and L. Ekonomou, “An open data repository for steady state analysis of a 100-node electricity distribution network with moderate connection of renewable energy sources,” Data in Brief, vol. 16, pp. 1095– 1101, 2018, doi: 10.1016/j.dib.2017.08.040.
POWER; Fitch Rates Mangistau Electricity Distribution Network Company’s upcoming notes ’BB-(EXP)’/RWN, “Interfax: Russia & CIS Energy Daily,” 2018..