IEEE P2749/D4, Jul 2022
IEEE Draft Recommended Practice for Risk Identification and Evaluation of Smart Power Distribution System
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- Language: English
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About This Item
IEEE P2749/D4, Jul 2022 is a draft recommended practice focused on risk identification and evaluation for a smart power distribution system. It addresses how computing and processing functions support the assessment of operational risk in modern distribution networks, where automation and system integration can affect reliability and safety. For engineers, planners, and technical reviewers, this document matters because it helps structure a consistent approach to identifying hazards and evaluating risk in complex power distribution environments.
About IEEE P2749/D4, Jul 2022
IEEE P2749/D4, Jul 2022 provides draft guidance for evaluating risk in smart power distribution system applications. The technical context combines power, energy, and industry applications with computing and processing considerations, reflecting the role of digital monitoring, control, and analysis in distribution planning and operation. As a recommended practice, it is intended to support more consistent judgment when identifying potential failure modes, evaluating exposure, and organizing risk-related engineering decisions across interconnected distribution assets and supporting systems.
Where is IEEE P2749/D4, Jul 2022 used?
This document is relevant in smart distribution environments where data-driven controls, automated switching, or integrated monitoring are part of the network architecture. It may be used by utilities, grid engineering teams, system integrators, and consultants working on distribution substations, feeder automation, protection coordination, and operational risk reviews. IEEE P2749/D4, Jul 2022 is especially useful when technical teams need a shared reference for assessing how computing-enabled functions influence distribution system behavior and resilience.
Importance in practice
In practice, IEEE P2749/D4, Jul 2022 helps support clearer and more consistent risk evaluation during design, review, and operational planning. That can improve decision-making around system reliability, safety, and control strategies, while also aiding documentation and internal compliance processes. For organizations procuring or integrating smart distribution equipment, a defined approach to risk identification can reduce ambiguity and make testing, acceptance, and engineering reviews more repeatable across projects and deployments.
- Risk identification for smart distribution systems
- Evaluation of computing and processing impacts
- Support for design and operational review
- Relevant to distribution automation and monitoring
- Draft recommended practice, Jul 2022
- Publication Date: 2022
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Computing and Processing; Power, Energy and Industry Applications
- Official IEEE: Doi link
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