The Electricity Markets and Policy Department (EMP, https://emp.lbl.gov) at the Lawrence Berkeley National Laboratory is seeking a Graduate Student Research Assistant (GSRA) for Summer 2021 on a 100% basis (40h/week) and Fall 2021 on a 25% (10hr/week basis). A GSRA appointment at LBNL qualifies for tuition and fee remissions at UC Berkeley.
The GSRA would assist the project team in modeling bidding strategies for renewable hybrid energy systems—resources that combine a renewable generator and storage—in wholesale energy markets. Organized wholesale power market operators are beginning to define hybrid participation models to represent hybrids in the market. These bidding strategies will help to characterize the performance of various hybrid participation models in wholesale electricity markets. A participation model outlines how the capabilities or constraints of the resources are represented in the market and what parameters the owner is able to set via bids or other technical parameters. We will be working with researchers from the Electric Power Research Institute (EPRI) to examine how nascent participation models impact dispatch and revenue of hybrids along with the implications for overall system reliability and economic efficiency. The student would build on existing methods in the literature to identify effective bidding strategies for hybrid resources, then develop tools to implement the strategies. The student would help simulate the bidding strategies in realistic market scenarios and would assist in drafting papers or reports.
The applicant should be familiar with advanced optimization techniques. These can include linear optimization, dynamic programming, model predictive control, or machine learning techniques. They should have previous experience building optimization models (preferably working with Python or Julia). The applicant should also have some familiarity with the electricity sector and electricity markets, in particular knowledge related to renewable energy and storage technologies. Furthermore, we look for applicants with strong quantitative research skills and excellent writing skills.
Due to ongoing COVID restrictions, this position is eligible to be remote within the U.S. Please respond with your CV, a description of your interests in our research project, and your qualifications to [email protected] by March 31st, 2021.
Spectrum of participation models for hybrid resources (Gorman et al. 2020)