Abstract
This work demonstrates that there is an analytical relationship between nodal price signals and the optimal allocation and operation of distributed energy storage systems (ESSs) in alternating current (AC) power networks. The results are based on a semidefinite relaxation of a multi-period optimal power flow (OPF) with storage problem in which the ESSs provide both real and reactive power to the grid. Strong duality is exploited to define a storage operator subproblem that is used to elucidate the natural duality between minimizing system costs and maximizing the profits of the storage operator in purely competitive markets. We illustrate these theoretical relationships, which require strong duality to hold, and discuss their impact on siting decisions using case studies based on an augmented IEEE benchmark system. We focus on how the provision of reactive power in combination with traditional grid services changes both the ESS allocation strategy and the overall performance of the simulated power network. Our results highlight the tight connections between market design and the financial viability of large-scale storage integration in AC power systems.
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Acknowledgment
This work was partially supported through the National Science Foundation (grant numbers ECCS 1230788 and OISE 1243482) and Sandia National Laboratories’ Laboratory Directed Research and Development (LDRD) program. The authors would also like to thank Benjamin Hobbs for useful discussions.
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Castillo, A., Gayme, D.F. (2018). Profit Maximizing Storage Integration in AC Power Networks. In: Meyn, S., Samad, T., Hiskens, I., Stoustrup, J. (eds) Energy Markets and Responsive Grids. The IMA Volumes in Mathematics and its Applications, vol 162. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7822-9_11
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