EPN functionality analysis#

This analysis computes the functionality of electric power networks.

The computation uses inputs from Monte Carlo failure analysis using electric power facility damage information, as well as the network topology of electric power line to determine the functionality probability and failure states for a corresponding electric power facility network by performing a reachability analysis.

The output of the analysis consists of a CSV with functionality probabilities for water facilities, and a CSV with functionality failure states.

Contributors

  • Science: Neetesh Sharma, Armin Tabandeh, Paolo Gardoni

  • Implementation: Neetesh Sharma, Armin Tabandeh, Santiago Núñez-Corrales, and NCSA IN-CORE Dev Team

Related publications

  • Sharma, N., Tabandeh, A., & Gardoni, P. (2019). Regional resilience analysis: A multi-scale approach to model the recovery of interdependent infrastructure. In P. Gardoni (Ed.), Handbook of sustainable and resilient infrastructure (pp. 521–544). New York, NY: Routledge.

  • Sharma, N., Tabandeh, A., & Gardoni, P. (2020). Regional resilience analysis: A multi-scale approach to optimize the resilience of interdependent infrastructure. Computer‐Aided Civil and Infrastructure Engineering, 35(12), 1315-1330.

  • Sharma, N., & Gardoni, P. (2022). Mathematical modeling of interdependent infrastructure: An object-oriented approach for generalized network-system analysis. Reliability Engineering & System Safety, 217, 108042.

Input Parameters

key name

type

name

description

result_name *

str

Result name

Name of the result dataset.

gate_station_node_list *

List[int]

Gate Station Node list

List of node IDs that represents the gate station.

Input Datasets

key name

type

name

description

epn_network *

incore:epnNetwork

EPN Network

EPN network dataset

epf_sample_failure_state *

incore:sampleFailureState

EPF sample failure state

CSV file of failure state for each sample. Output from MCS analysis.

Output Datasets

key name

type

parent key

name

description

failure_probability *

incore:failureProbability

Results

A dataset containing failure probability results
(format: CSV).

sample_failure_state *

incore:sampleFailureState

Results

A dataset containing failure state for each sample
(format: CSV).

(* required)

Execution

code snippet:

    # run epn functionality
    epn_func = EpnFunctionality(client)
    epn_func.load_remote_input_dataset("epn_network", epn_dataset_id)
    epn_func.load_remote_input_dataset("epf_sample_failure_state", epf_sample_failure_state_id)

    epn_func.set_parameter("result_name", result_name)
    epn_func.set_parameter("gate_station_node_list", [1, 2, 3, 4, 5, 6, 7, 8, 9])

    # Run Analysis
    epn_func.run_analysis()

full analysis: epn_functionality.ipynb