A stochastic programming model for the tertiary control of microgrids

In this work a scenario-based two-stage stochastic programming model is proposed to solve a microgrid's tertiary control optimization problem taking into account some renewable energy resource's uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario ge...

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Bibliographic Details
Main Authors: Citores, L., Corchero, C., Heredia, F.-J
Format: Conference Proceeding
Language:English
Subjects:
Conferences
Deviation
Electricity
energy system optimization
Markets
microgrid
Microgrids
Optimization
Production
Programming
scenario generation
Stochastic processes
stochastic programming
Stochasticity
Uncertainty
Wind power generation
Wind speed
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Description
Summary:In this work a scenario-based two-stage stochastic programming model is proposed to solve a microgrid's tertiary control optimization problem taking into account some renewable energy resource's uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents a significant improvement over a deterministic model.
ISSN:2165-4077
2165-4093
DOI:10.1109/EEM.2015.7216761