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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp012j62s504h
Title: Solar, Wind, and Storage: Optimizing for Least Cost Configurations of Renewable Energy Generation in the PJM Grid
Authors: Cheng, Luke
Advisors: Powell, Warren
Department: Operations Research and Financial Engineering
Class Year: 2014
Abstract: The integration of solar and wind power into the grid poses many challenges due to the intermittent nature of weather conditions. This thesis models the hourly generation, storage, and consumption of solar, offshore wind, onshore wind, and fossil fuel energy such that demand is met every hour. For a given fossil fuel penalty, the least cost renewable energy build-out is determined through the use of a finite-difference stochastic approximation algorithm. The algorithm optimizes over five decision variables: solar power, offshore wind, onshore wind, battery inverter power, and battery storage capacity. The relationship between fossil fuel penalties and energy outcomes is explored for four different scenarios. This thesis finds that as fossil fuel energy costs rise, onshore wind and lithium-titanate grid-level storage become costeffective for meeting demand.
Extent: 113
URI: http://arks.princeton.edu/ark:/88435/dsp012j62s504h
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Operations Research and Financial Engineering, 2000-2016

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