Joint Planning of Flexible Distribution Network Considering N-1 Criterion and Disaster Scenarios

To explore the difference between branch $\mathrm{N}-1$ criterion and resilience improvement in distributed resource planning of distribution network, a joint planning scheme for distributed resources considering both $\mathbf{N}-1$ criterion constraints and disaster scenarios is proposed. Firstly, considering normal operation scenarios, $\mathbf{N}-1$ branch faults scenarios and disaster scenarios, a mixed integer linear programming model for distribution network operation was established using stochastic programming based on the optimal power flow model. Then, in order to solve the huge computational burden brought by $\mathbf{N}-1$ scenarios, the column generation algorithm was used to split the original problem into main problem and subproblem and reduce the computational burden by iteration. The accuracy of the algorithm was guaranteed through a secondary verification. Finally, simulation experiments were conducted using IEEE33 bus system and load curtailment analysis was carried out. The experimental results show that while the substation operates normally, the distribution network planning considering branch $\mathbf{N}-1$ criterion still has good resilience in disaster scenarios with multiple branch failures.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icpe64565.2024.10929381
Citations
1
Primary Topic
Optimal Power Flow Distribution
Type
article
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0.21
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article

Joint Planning of Flexible Distribution Network Considering N-1 Criterion and Disaster Scenarios

Ning Lu, Hao Shen
1 citations
Optimal Power Flow Distribution
0.21
article

Joint Planning of Flexible Distribution Network Considering N-1 Criterion and Disaster Scenarios

Ning Lu, Hao Shen
article en
1 citations

Abstract

To explore the difference between branch $\mathrm{N}-1$ criterion and resilience improvement in distributed resource planning of distribution network, a joint planning scheme for distributed resources considering both $\mathbf{N}-1$ criterion constraints and disaster scenarios is proposed. Firstly, considering normal operation scenarios, $\mathbf{N}-1$ branch faults scenarios and disaster scenarios, a mixed integer linear programming model for distribution network operation was established using stochastic programming based on the optimal power flow model. Then, in order to solve the huge computational burden brought by $\mathbf{N}-1$ scenarios, the column generation algorithm was used to split the original problem into main problem and subproblem and reduce the computational burden by iteration. The accuracy of the algorithm was guaranteed through a secondary verification. Finally, simulation experiments were conducted using IEEE33 bus system and load curtailment analysis was carried out. The experimental results show that while the substation operates normally, the distribution network planning considering branch $\mathbf{N}-1$ criterion still has good resilience in disaster scenarios with multiple branch failures.

Wuhan University of Technology (CN)
Climate action
Openalex Percentile: Top 43%
Optimal Power Flow Distribution
0.21
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Joint Planning of Flexible Distribution Network Considering N-1 Criterion and Disaster Scenarios — Ning Lu, Hao Shen · (2024) | TGRS Research Map | TGRS