relation: http://eprints.imtlucca.it/2780/
title: Scenario-Based Model Predictive Operation Control of Islanded Microgrids
creator: Hans, Christian
creator: Sopasakis, Pantelis
creator: Bemporad, Alberto
creator: Jörg, Raisch
creator: Reincke-Collon, Carsten
subject: QA Mathematics
subject: QA75 Electronic computers. Computer science
subject: T Technology (General)
subject: TK Electrical engineering. Electronics Nuclear engineering
description: We propose a model predictive control (MPC) approach for the operation of islanded microgrids that takes into account the stochasticity of wind and load forecasts. In comparison to worst case approaches, the probability distribution of the prediction is used to optimize the operation of the microgrid, leading to less conservative solutions. Suitable models for time series forecast are derived and employed to create scenarios. These scenarios and the system measurements are used as inputs for a stochastic MPC, wherein a mixed-integer problem is solved to derive the optimal controls. In the provided case study, the stochastic MPC yields an increase of wind power generation and decrease of conventional generation.
publisher: IEEE
date: 2015
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
rights: cc_by_nc
identifier: http://eprints.imtlucca.it/2780/1/HSBRR2015.pdf
identifier:   Hans, Christian and Sopasakis, Pantelis and Bemporad, Alberto and Jörg, Raisch and Reincke-Collon, Carsten  Scenario-Based Model Predictive Operation Control of Islanded Microgrids.  In: 54th IEEE Conference on Decision and Control, 15-18 December, 2015, Osaka, Japan pp. 3272-3277.  ISBN 978-1-4799-7884-7.      (2015)  
relation: http://dx.doi.org/10.1109/CDC.2015.7402711
relation: 10.1109/CDC.2015.7402711