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Title: Stochastic Robust Mathematical Programming Model for Power System Optimization

This paper presents a stochastic robust framework for two-stage power system optimization problems with uncertainty. The model optimizes the probabilistic expectation of different worst-case scenarios with ifferent uncertainty sets. A case study of unit commitment shows the effectiveness of the proposed model and algorithms.
Authors:
; ; ;
Publication Date:
OSTI Identifier:
1249512
DOE Contract Number:
AC02-06CH11357
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Transactions on Power Systems; Journal Volume: 31; Journal Issue: 1
Publisher:
IEEE
Research Org:
Argonne National Laboratory (ANL)
Sponsoring Org:
USDOE Office of Electricity Delivery and Energy Reliability
Country of Publication:
United States
Language:
English
Subject:
distributionally robust; power system optimization; robust optimization; stochastic; unit commitment