A Cascading Fault Path Prediction Method for Integrated Energy Distribution Networks Based on the Improved OPA Model under Typhoon Disasters
Yue He1, Yaxiong You1, Zhian He1, Haiying Lu1, Lei Chen2,*, Yuqi Jiang2, Hongkun Chen2
1
Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., CSG, Guangzhou, 510000, China
2
School of Electrical Engineering and Automation, Wuhan University, Wuhan, 430072, China
*
Corresponding Author: Lei Chen. Email: chen_lei@whu.edu.cn
Energy Engineering https://doi.org/10.32604/ee.2024.052371
Received 31 March 2024; Accepted 31 May 2024; Published online 26 June 2024
Abstract
In recent times, the impact of typhoon disasters on integrated energy active distribution networks (IEADNs) has
received increasing attention, particularly, in terms of effective cascading fault path prediction and enhanced fault
recovery performance. In this study, we propose a modified ORNL-PSerc-Alaska (OPA) model based on optimal
power flow (OPF) calculation to forecast IEADN cascading fault paths. We first established the topology and
operational model of the IEADNs, and the typical fault scenario was chosen according to the component fault
probability and information entropy. The modified OPA model consisted of two layers: An upper-layer model to
determine the cascading fault location and a lower-layer model to calculate the OPF by using Yalmip and CPLEX
and provide the data to update the upper-layer model. The approach was validated via the modified IEEE 33-
node distribution system and two real IEADNs. Simulation results showed that the fault trend forecasted by the
novel OPA model corresponded well with the development and movement of the typhoon above the IEADN. The
proposed model also increased the load recovery rate by >24% compared to the traditional OPA model.
Keywords
IEADNs; OPA model; cascading fault path prediction; fault probability; optimal power flow; typical fault scenario