EPN functionality analysis

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