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IEEE 2749:2023

IEEE Recommended Practice for Risk Identification and Evaluation of Smart Power Distribution System

Summary

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The risk factors that should be considered for the planning, operation, and maintenance of the distribution network are presented in this recommended practice. The approaches and practices for risk identification and evaluation, including the identification of risk factors and events, classification of risk types, evaluation of equipment and network risks, as well as the grading, warning, prevention measures, dynamic tracking, and simulation of risks are also provided. This recommended practice can be applied to the operation risk evaluation and guides the planning, construction, and maintenance of conventional power systems, microgrids, and smart distribution networks with high penetration of distributed energy resources (DER), and flexible loads.

This recommended practice focuses on the factors that should be considered for planning, operating, and maintaining distribution networks such as risk factors and event identification, classification of risk types, equipment and network risk evaluation, risk grade classification, risk early-warning, risk prevention control, risk dynamic tracking, and risk simulation. This recommended practice not only applies to operations risk evaluation but also provides guidance toward the planning, construction, and maintenance of traditional distribution power system, micro-grid systems, and smart distribution networks with access to large-scale distributed energy resources (DER) and flexible loads.
This recommended practice identifies and assesses risks and provides technical guidance and methods for smart distribution networks in the planning and operation stages. The implementation of this recommended practice will provide support for improving planning and construction plans and changing the operation mode to enhance the safe, reliable, and economic operation of distribution networks, advance the use of distributed generations, and promote the development of relevant industries and the technological progress of risk identification and evaluation

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Technical characteristics

Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publication Date 07/14/2023
Edition
Page Count 48
EAN ---
ISBN ---
Weight (in grams) ---
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