Min-Max formulation is a common fairness mechanic utilized in communication system. It works by minimizing the worst case scenario amongst all the nodes in a system, For transmission and energy storage planning applications, we can utilize this fairness mechanic to bolster equity amongst the nodes in our system. For the project this is being utilized for, min-max formulation is used to minimize the worstcase load shedding across each bus in our system. The worst case in this situation being the highest load shedding cost, based on the value of lost load (VoLL) assigned to each bus.

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[1] Noah Allison, "Modified IEEE 30-Bus Test Case (For Min-Max Load Shedding Applications)", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/2y66-qv28. Accessed: Apr. 19, 2025.
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url = {http://dx.doi.org/10.21227/2y66-qv28},
author = {Noah Allison },
publisher = {IEEE Dataport},
title = {Modified IEEE 30-Bus Test Case (For Min-Max Load Shedding Applications)},
year = {2023} }
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Noah Allison. (2023). Modified IEEE 30-Bus Test Case (For Min-Max Load Shedding Applications). IEEE Dataport. http://dx.doi.org/10.21227/2y66-qv28
Noah Allison, 2023. Modified IEEE 30-Bus Test Case (For Min-Max Load Shedding Applications). Available at: http://dx.doi.org/10.21227/2y66-qv28.
Noah Allison. (2023). "Modified IEEE 30-Bus Test Case (For Min-Max Load Shedding Applications)." Web.
1. Noah Allison. Modified IEEE 30-Bus Test Case (For Min-Max Load Shedding Applications) [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/2y66-qv28
Noah Allison. "Modified IEEE 30-Bus Test Case (For Min-Max Load Shedding Applications)." doi: 10.21227/2y66-qv28