Convex Relaxations of Maximal Load Delivery for Multi-Contingency Analysis of Joint Electric Power and Natural Gas Transmission Networks

Round 1

Reviewer 1 Report

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

The article provides a thorough analysis of the interdependencies between gas and electric transmission systems and proposes a mixed-integer convex relaxation approach for solving the Maximal Load Delivery (MLD) problem. This approach enables efficient estimation of severe contingencies' impacts on joint networks, offering a quick and accurate methodology for multi-contingency scenario analysis.

However, some aspects could be improved:

· There is missing. more detailed justification of model that accounts for dynamic changes in network conditions (for Model 1).

· Authors have to expand the interdependencies between gas and power networks especially the impact of gas supply disruptions on power generation capacity.

· The choice of solver parameters (Table 1) and their impact on the outcomes of the computational experiments are not discussed in article.

· Authors did not discuss the specific conditions under which the MICP relaxation fail.

Questions for the authors:

1. How do the simplified modeling assumptions in (3) align with operational characteristics of gas-fired generators, particularly under extreme conditions?

2. How does the model account for the dynamic nature of gas and power demands, especially during peak usage periods or unexpected contingencies?

3. What measures have been taken to validate the model, particularly for the joint operation of gas and power networks?

4. How do the proposed convex relaxations affect the model's ability to identify critical network components and prioritize restoration efforts?

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf