Skip navigation
Please use this identifier to cite or link to this item:
Title: Understanding Variability and Uncertainty in Energy Generation Portfolios Using SMART-Invest: A Stochastic Dynamic Planning Approach
Authors: Banerjee, Sankalpa
Advisors: Powell, Warren
Department: Operations Research and Financial Engineering
Class Year: 2016
Abstract: The objective of this thesis is to develop a precise model of variability and uncertainty that accurately captures the barriers to higher penetration of solar and wind power in the energy mix. The thesis will build upon the framework of SMART-Invest, the stochastic dynamic planning model introduced by Javad Khazaei and Warren Powell in 2015, with a particular focus on quantifying the e ects of solar variability and forecast uncertainty on the optimal energy generation portfolio. Using data from the PJM Interconnection, several classes of policy studies will be conducted under different scenarios of variability and uncertainty. Ultimately, the results of this analysis will be used to evaluate the reliability of current renewable energy forecasts and the plausibility of some of the country's energy policy objectives for the next 15 years.
Extent: 102 pages
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Operations Research and Financial Engineering, 2000-2017

Files in This Item:
File SizeFormat 
Banerjee_Sankalpa_Final_Thesis.pdf1.34 MBAdobe PDF    Request a copy

Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.