Work

Uncertainty Sets for Wind Power Generation

Year: 2015

Type: article

Abstract: As penetration of wind power generation increases, system operators must account for its stochastic nature in a reliable and cost-efficient manner. These conflicting objectives can be traded-off by accounting for the variability and uncertainty of wind power generation. This letter presents a new methodology to estimate uncertainty sets for parameters of probability distributions that capture wind generation uncertainty and variability.

Source: IEEE Transactions on Power Systems

DOI: 10.1109/tpwrs.2015.2476664

Authors: Yury Dvorkin, Miles Lubin, Scott Backhaus, Michael Chertkov

Institutions: University of Washington, Massachusetts Institute of Technology, Los Alamos National Laboratory

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: green

Funders: U.S. Department of Energy, Office of Electricity