Resilience Modeling of Interdependent Electric Power and Natural Gas Network
Open Access
- Author:
- Su, Wenjing
- Graduate Program:
- Energy and Mineral Engineering (PHD)
- Degree:
- Doctor of Philosophy
- Document Type:
- Dissertation
- Date of Defense:
- December 13, 2023
- Committee Members:
- Jeremy Gernand, Program Head/Chair
Mort Webster, Co-Chair & Dissertation Advisor
Seth Blumsack, Co-Chair & Dissertation Advisor
Hannah Wiseman, Major Field Member
Uday Shanbhag, Outside Unit & Field Member - Keywords:
- Network topology
Joint power and natural gas system
Power system modeling
Extreme weather events
Geographically correlated failures
Energy system resilience
Infrastructure planning
Natural disaster planning
Infrastructure interdependence - Abstract:
- This dissertation develops tools and provides insights for planning interdependent electric power and natural gas system against extreme weather events. More frequent and severe extreme weather events usually leads to geographically correlated component failure and present threats to energy system operation. The dependence between large-scale infrastructure system further complicates the infrastructure planning process. This dissertation addresses the pressing needs for quantitative modeling tools to improve system resilience. It also investigates the impact of network topology of interdependent infrastructure system on system resilience and sheds light on the priority of resilience planning for decision makers. Chapter 2 develop a transmission planning framework for coupled natural gas and electric power systems facing geographically correlated failures. The framework uses a stochastic optimization method incorporating uncertainty in the locations of the geographically correlated failures. We compare the proposed planning framework with the traditional N-k method which plans for geographically uncorrelated failures in terms of improving resilience effectively against geographically correlated failures. The proposed planning framework is illustrated using a small test system, but is scalable to larger system sizes and portable to other coupled-infrastructure contexts. Chapter 3 formulate a steady-state operational model for natural gas and electric transmission system that is capable of considering bidirectional interdependence. The electric transmission system depends on the gas transmission system to provide fuel to power plants for reliable operations. The gas transmission system depends on the electric transmission system to provide power for some compressors, which ensures sufficient gas deliverability. We illustrate our formulation using a gas-grid test system with realistic properties, that is based on the topology of these networks in the northeastern part of the United States. The feasibility of the model formulation is tested with one contingency scenario. Chapter 4 extends the analysis to examine the impact of spatial patterns of interde- pendency points on system reliability and resilience by subjecting this test system to N − 1 transmission failure and geographically correlated failures under different network topologies. We refer the spatial distribution of gas-fired power generation in the power grid as power topology and the spatial distribution of electric compressors in the gas transmission grid as gas topology.