Elastic Reserve Strategy for Probabilistic Energy Management with Interval Predictors in Microgrids
Abstract
In this paper, we present a Model Predictive Control (MPC) based energy management method for isolated microgrid systems. An elastic reserve strategy is proposed to handle the probabilistic predictions of loads and Renewable Energy Sources (RES) given in the form of intervals so that the state information of systems can be better utilized in the scheduling. Scenario-selected optimizers apply the MPC framework and the mixed-integer linear...
Paper Details
Title
Elastic Reserve Strategy for Probabilistic Energy Management with Interval Predictors in Microgrids
Published Date
May 1, 2020
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