NDLI: Critical node identification in active distribution network using resilience and risk theory

Content Provider	IET Digital Library
Author	Zhang, Wen Liu, Ke yan Sheng, Wanxing Du, Songhuai Jia, Dongli
Abstract	Accurately identifying the key links in active distribution network (ADN) that affect the system's safety and stability is of great significance to improve the efficiency of operation and maintenance and risk early warning for distribution network (DN). In this study, the node resilience (NR) is first proposed as an indicator for structural stability identification of DN. Then, a critical node identification method considering the security, economy and structure stability in ADN is proposed, which uses the NR, the utility risks of branch load change, node voltage deviation and line loss variation as the identification indicators. Also, combining with subjective experience and objective data, the comprehensive evaluation method of critical nodes is improved, and the multilevel and multidimensional evaluation model of critical nodes is constructed. Furthermore, the time sequence of load change and photovoltaic output is considered. Finally, the rationality and effectiveness of the proposed method are proved by taking IEEE 33-bus system and an actual ADN as examples.
Starting Page	2771
Ending Page	2778
Page Count	8
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 14, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1781
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-04-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Distribution Network Actual ADN Branch Load Change Comprehensive Evaluation Method Critical Node Identification Method Critical Nodes Distributed Power Generation Distribution Network Economy Identification Indicators Key Link Line Loss Variation Load Flow Maintenance Node Resilience Node Voltage Deviation Optimisation Technique Power Grid Risk Theory Structural Stability Identification Structure Stability System Utility Risks
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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