Scenario Partitioning Methods for Two-Stage Stochastic Generation Expansion Under Multi-Scale Uncertainty

Generation Expansion Planning (GEP) can inform regulation, electricity market design, and regional system planning by identifying adaptive investment strategies. Relevant uncertainties include hourly variability in load and renewable generation and decadal-scale uncertainty in technology, markets, a...

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Veröffentlicht in:	IEEE transactions on power systems 2022-05, Vol.37 (3), p.2371-2383
Hauptverfasser:	Zhao, Bining, Bukenberger, Jesse, Webster, Mort
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation approximation algorithms Costs Covariance Engineering Generation expansion planning Investment Investment strategy Optimization Partitioning Planning Regional planning Renewable energy sources scenario reduction stochastic optimizations Stochastic processes Uncertainty
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