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Activity Number: 64 - Modeling Uncertainty in Energy Systems
Type: Topic Contributed
Date/Time: Sunday, July 28, 2019 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics and the Environment
Abstract #304838
Title: Incorporating Photovoltaic and Load Uncertainty into Remote Microgrid Design Optimization
Author(s): Amanda S Hering* and David Morton and Alexander Zolan and Alexandra Newman
Companies: Baylor University and Northwestern University and University of Texas at Austin and Colorado School of Mines
Keywords: Stochastic model; Microgrid; Solar Power

The United States military builds forward operating bases (FOBs) in remote regions. While most bases use spot generation, in which a diesel generator is attached directly to a load, microgrids that combine these individual loads and augment generators with photovoltaic (PV) cells and batteries as a distributed energy system are emerging as a safe, efficient alternative to provide energy needs to the FOB. In initial work, an optimization model was developed that produced the minimum-cost microgrid design (e.g., the combination of batteries, generators, and solar panels) and ideal dispatched power to support a FOB for one year with hourly resolution. However, this model used deterministic inputs for the load and PV resources. We develop an approach to simulate the occupancy of the FOB, which is then used to generate realizations of environmental control unit loads. These realizations share observed weather inputs with the PV model used to generate realizations of PV power output. A case study illustrates that solutions to models that account for variability in FOB occupancy in addition to weather are more likely to meet load than solutions to a deterministic model.

Authors who are presenting talks have a * after their name.

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