Lucas Valenzuela

Contacts:

Email: lucasfv at stanford dot edu

Lucas Valenzuela


ASL Publications

  1. L. F. Valenzuela, A. Degleris, M. Pavone, R. Rajagopal, and A. El Gamal, “Dynamic locational marginal emissions via implicit differentiation,” IEEE Transactions on Power Systems, 2022. (Submitted)

    [BibTeX] [Abstract]

    Abstract: Locational marginal emissions rates (LMEs) estimate the rate of change in emissions due to a small change in demand in a transmission network, and are an important metric for assessing the impact of various energy policies or interventions. In this work, we develop a new method for computing the LMEs of an electricity system via implicit differentiation. The method is model agnostic; it can compute LMEs for almost any convex optimization-based dispatch model, including some of the complex dispatch models employed by system operators in real electricity systems. In particular, this method lets us derive LMEs for dynamic dispatch models, i.e., models with temporal constraints such as ramping and storage. Using real data from the U.S. electricity system, we validate the proposed method by comparing emissions predictions with another state-of-the-art method. We show that incorporating dynamic constraints improves prediction by 8.2%. Finally, we use simulations on a realistic 240-bus model of WECC to demonstrate the flexibility of the tool and the importance of incorporating dynamic constraints. Namely, static LMEs and dynamic LMEs exhibit an average RMS deviation of 28.40%, implying dynamic constraints are essential to accurately modeling emissions rates.

     
    @article{ValenzuelaDeglerisEtAl2022,
  author = {Valenzuela, L. F. and Degleris, A. and Pavone, M. and Rajagopal, R. and El Gamal, A.},
  title = {Dynamic locational marginal emissions via implicit differentiation},
  journal = {{IEEE Transactions on Power Systems}},
  note = {Submitted},
  year = {2022},
  url = {/wp-content/papercite-data/pdf/Valenzuela.Degleris.ea.IEEETPS22.pdf},
  comment = {This manuscript was submitted to IEEE Transactions on Power Systems 2022},
  owner = {rdyro},
  timestamp = {2022-07-11},
  keywords = {sub}
}