NDLI: Identification of critical lines for enhancing disaster resilience of power systems with renewables based on complex network theory

Content Provider	IET Digital Library
Author	Zhao, Yuxuan Liu, Shengyuan Lin, Zhenzhi Yang, Li Gao, Qiang Chen, Yiwei
Abstract	Natural disasters, such as typhoons and earthquakes, pose great challenges to power system resilience and power supply reliability. It is widely acknowledged that critical transmission lines play a significant role in enhancing the resilience and reliability of power systems under severe natural disasters. In order to improve the disaster resilience of power systems with renewables, a critical line identification approach is proposed in this work based on the complex network theory. Firstly, the concept of core skeleton network (CSN) of power systems with renewables is introduced and a two-step strategy is presented to optimise the CSNs of the concerned power system considering the variable outputs of renewables. Then, a statistical salience method incorporating edge salience and the state-of-the-art null model in complex network theory is proposed to identify critical lines of each CSN and the concerned power system with renewables. Finally, the effectiveness of the proposed critical lines identification approach is verified by simulations on the modified IEEE 118-bus system with renewables, Guangdong Provincial Power System (GPPS) and Zhejiang Provincial Power System (ZPPS) in China. Simulation results show that by using the proposed approach, the critical transmission lines can be effectively identified, not requiring a predefined number of critical lines.
Starting Page	4459
Ending Page	4467
Page Count	9
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 20, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1853
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-07-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Complex Network Complex Network Theory Core Skeleton Network Critical Line Identification Critical Line Identification Approach Critical Transmission Line CSN Disaster Resilience Disasters Guangdong Provincial Power System Load Flow Network Theory (Graph) Optimisation Optimisation Technique Power Grid Power Source Node Power Supply Reliability Power System Resilience Power System Security Power Transmission Line Power Transmission Reliability Power Transmission, Distribution And Supply Reliability Renewable Energy Source RES Zhejiang Provincial Power System
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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