Open Access

ARTICLE

Simulation and Analysis of Cascading Faults in Integrated Heat and Electricity Systems Considering Degradation Characteristics

by Hang Cui¹, Hongbo Ren^1,*, Qiong Wu^1,2, Hang Lv¹, Qifen Li^1,2, Weisheng Zhou³

1 College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, 200090, China
2 Shanghai Non-Carbon Energy Conversion and Utilization Institute, Shanghai, 200240, China
3 College of Policy Sciences, Ritsumeikan University, Kyoto, 603-8577, Japan

* Corresponding Author: Hongbo Ren. Email:

Energy Engineering 2024, 121(3), 581-601. https://doi.org/10.32604/ee.2023.047470

Received 06 November 2023; Accepted 25 December 2023; Issue published 27 February 2024

Abstract

Cascading faults have been identified as the primary cause of multiple power outages in recent years. With the emergence of integrated energy systems (IES), the conventional approach to analyzing power grid cascading faults is no longer appropriate. A cascading fault analysis method considering multi-energy coupling characteristics is of vital importance. In this study, an innovative analysis method for cascading faults in integrated heat and electricity systems (IHES) is proposed. It considers the degradation characteristics of transmission and energy supply components in the system to address the impact of component aging on cascading faults. Firstly, degradation models for the current carrying capacity of transmission lines, the water carrying capacity and insulation performance of thermal pipelines, as well as the performance of energy supply equipment during aging, are developed. Secondly, a simulation process for cascading faults in the IHES is proposed. It utilizes an overload-dominated development model to predict the propagation path of cascading faults while also considering network islanding, electric-heating rescheduling, and load shedding. The propagation of cascading faults is reflected in the form of fault chains. Finally, the results of cascading faults under different aging levels are analyzed through numerical examples, thereby verifying the effectiveness and rationality of the proposed model and method.

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Keywords

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