IEEE 2749-2023
$41.17
IEEE Recommended Practice for Risk Identification and Evaluation of Smart Power Distribution System (Published)
| Published By | Publication Date | Number of Pages |
| IEEE | 2023 | 48 |
New IEEE Standard – Active. 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.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 1 | IEEE Std 2749™-2023 Front cover |
| 2 | Title page |
| 4 | Important Notices and Disclaimers Concerning IEEE Standards Documents |
| 8 | Participants |
| 10 | Introduction |
| 11 | Contents |
| 12 | 1. Overview 1.1 Scope 1.2 Purpose 1.3 Word usage |
| 13 | 1.4 Limitations 1.5 Technology status and schema |
| 14 | 2. Definitions, acronyms, and abbreviations 2.1 Definitions |
| 15 | 2.2 Acronyms and abbreviations 3. Risk identification 3.1 Purpose of risk identification 3.2 Content of risk identification 3.3 Method of risk identification |
| 17 | 3.4 Time scale of risk identification 3.5 Recommended methods for identifying typical risks |
| 19 | 4. Risk evaluation 4.1 Purposes and principles of risk evaluation 4.2 Contents of risk evaluation |
| 20 | 4.3 Equipment-level risk evaluation |
| 23 | 4.4 System-level risk evaluation |
| 32 | 4.5 System risk evaluation under power electronic conditions |
| 35 | 5. Risk warning 5.1 Purpose of risk warning 5.2 Contents of risk warning |
| 36 | 5.3 Release of risk warning |
| 37 | 6. Risk simulation 6.1 Purpose and importance of risk simulation |
| 38 | 6.2 Models of risk simulation 6.3 Contents of risk simulation |
| 39 | Annex A (informative) Common methods for equipment-level risk identification in a distribution system A.1 Neural network method A.2 Big data clustering method A.3 Classifier algorithm |
| 40 | Annex B (informative) Common methods for system-level risk identification in a distribution system B.1 Failure mode and effect analysis method B.2 Fault tree method B.3 Statistical analysis B.4 Monte Carlo method |
| 41 | Annex C (informative) Calculation of equipment failure rate C.1 Calculation method C.2 Calculation steps |
| 43 | Annex D (informative) Referential methods and steps for system risks calculation D.1 Using analytical method: D.1 Using simulation method D.2 Using power flow method |
| 44 | Annex E (informative) Notes to the risk identification and evaluation for smart power distribution system E.1 Risk identification of smart distribution system E.2 Risk evaluation of smart distribution network |
| 45 | E.3 Risk warning of smart distribution network E.4 Risk simulation of smart power distribution system |
| 46 | Annex F (informative) Bibliography |
| 48 | Back cover |
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