@inproceedings{talkington_lmb_2024,
author = {Talkington, Samuel and West, Amanda and Haider, Rabab},
title = {{Locational Marginal Burden: Quantifying the Equity of Optimal Power Flow
Solutions}},
year = {2024},
publisher = {Association for Computing Machinery},
doi = {10.1145/3632775.3661947},
booktitle = {Proceedings of the 15th ACM International Conference on Future and Sustainable
Energy Systems},
pages = {97–107},
numpages = {11}
}
Fair distribution of benefits in electric power systems is a pertinent energy policymaking problem; however, these efforts cannot be easily quantified in power system engineering studies. Therefore, we propose locational marginal burden (LMB) to provide an interface between a well-studied measure of energy pricing equity—energy burden—with an optimal power flow problem (OPF). This is achieved by investigating the intrinsic link between the dual optimal solution of an OPF problem and the electricity prices, which are used to calculate the energy burden. By applying results from the field of differentiable optimization, locational marginal prices (LMPs) associated with an OPF solution can be differentiated with respect to demand. This enables electricity retail prices—and thereby, energy burden itself—to be differentiated, resulting in the proposed LMB. Simulation of a synthetic Hawaii network interfaced with real-world socioeconomic data shows how the LMB provides new insights into how the operation of the electricity network affects the equity of energy prices.
Samuel Talkington, Cameron Khanpour, Rahul K. Gupta, Sergio A. Dorado-Rojas, Daniel Turizo, Hyeongon Park, Dmitrii M. Ostrovskii, and Daniel K. Molzahn