Towards Energysheds: A Technical Definition and Cooperative Framework for Future Power System Operations
Abstract: There is growing interest in understanding how interactions between system-wide objectives and local community decision-making will impact the clean energy transition. The concept of energysheds has gained traction in the areas of public policy and social science as a way to study these relationships. However, development of technical definitions of energysheds that permit system analysis are still largely missing. In this work, we propose a mathematical definition for energysheds, and introduce an analytical framework for studying energyshed concepts within the context of future electric power system operations. This framework is used to develop insights into the factors that impact a community's ability to achieve energyshed policy incentives within a larger connected power grid, as well as the tradeoffs associated with different spatial policy requirements. We also propose an optimization-based energyshed policy design problem, and show that it can be solved to global optimality within arbitrary precision by employing concepts from quasi-convex optimization. Finally, we investigate how interconnected energysheds can cooperatively achieve their objectives in bulk power system operations.
- A. De La Garza, “This Vermont utility is revolutionizing its power grid to fight climate change. Will the rest of the country follow suit?” Time Magazine, Jul. 2021.
- The Federal Assembly of the Swiss Confederation, “Federal law on a secure electricity supply with renewable energies,” Editions of the Federal Gazette, September 2023.
- L. Kristov, P. De Martini, and J. D. Taft, “A tale of two visions: Designing a decentralized transactive electric system,” IEEE Power and Energy Magazine, vol. 14, no. 3, pp. 63–69, 2016.
- U.S. Department of Energy Office of Energy Efficiency & Renewable Energy, “Clean energy to communities program,” energy.gov, Accessed: Nov. 18, 2023. [Online.] Available: https://www.energy.gov/eere/clean-energy-communities-program.
- L. Illing, K. Yee, and R. Knapp, “From watershed to energyshed: Determining the implications of place-based power generation workshop and request for information summary report,” U.S. Department of Energy Office of Energy Efficiency & Renewable Energy, Washington D.C., USA, Tech. Rep., 2022.
- J. C. Evarts, “Energyshed framework: Defining and designing the fundamental land unit of renewable energy,” Master’s thesis, Dalhousie University, Halifax, Nova Scotia, April 2016.
- A. Thomas and J. D. Erickson, “Rethinking the geography of energy transitions: Low carbon energy pathways through energyshed design,” Energy Research & Social Science, vol. 74, p. 101941, 2021.
- “2022 Vermont comprehensive energy plan,” Vermont Department of Public Service, Montpelier, VT, Tech. Rep., 2022.
- S. Chevalier and M. R. Almassalkhi, “Towards optimal Kron-based reduction of networks (Opti-KRON) for the electric power grid,” in IEEE CDC, Cancún, Mexico, 2022, pp. 5713–5718.
- H. Lo, S. Blumsack, P. Hines, and S. Meyn, “Electricity rates for the zero marginal cost grid,” The Electricity Journal, vol. 32, no. 3, pp. 39–43, 2019.
- G. Still, “Lectures on parametric optimization: An introduction,” Preprint, University of Twente, March 2018, [Online.] Available: https://optimization-online.org/?p=15154.
- A. Wächter and L. Biegler, “On the implementation of a primal-dual interior point filter line search algorithm for large-scale nonlinear programming,” Math. Program., vol. 106, no. 1, pp. 25–57, 2006.
- H. Li, J. H. Yeo, A. L. Bornsheuer, and T. J. Overbye, “The creation and validation of load time series for synthetic electric power systems,” IEEE Trans. Power Syst., vol. 36, no. 2, pp. 961–969, 2021.
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