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A MPC Based Peak Shaving Application for a Household with Photovoltaic Battery System

  • This paper presents the use of model predictive control (MPC) based approach for peak shaving application of a battery in a Photovoltaic (PV) battery system connected to a rural low voltage gird. The goals of the MPC are to shave the peaks in the PV feed-in and the grid power consumption and at the same time maximize the use of the battery. The benefit to the prosumer is from the maximum use ofThis paper presents the use of model predictive control (MPC) based approach for peak shaving application of a battery in a Photovoltaic (PV) battery system connected to a rural low voltage gird. The goals of the MPC are to shave the peaks in the PV feed-in and the grid power consumption and at the same time maximize the use of the battery. The benefit to the prosumer is from the maximum use of the self-produced electricity. The benefit to the grid is from the reduced peaks in the PV feed-in and the grid power consumption. This would allow an increase in the PV hosting and the load hosting capacity of the grid. The paper presents the mathematical formulation of the optimal control problem along with the cost benefit analysis. The MPC implementation scheme in the laboratory and experiment results have also been presented. The results show that the MPC is able to track the deviation in the weather forecast and operate the battery by solving the optimal control problem to handle this deviation.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/3886
Bibliografische Angaben
Title (English):A MPC Based Peak Shaving Application for a Household with Photovoltaic Battery System
Conference:7th International Conference on Smart Cities and Green ICT Systems, March 16-18, 2018, Funchal, Madeira, Portugal
Author:Deepranjan DongolStaff Member, Thomas FeldmannStaff Member, Elmar BollinStaff MemberGND, Michael SchmidtStaff MemberORCiDGND
Edition:1.
Year of Publication:2019
Date of first Publication:2019/09/02
Place of publication:Cham, Switzerland
Publisher:Springer
First Page:44
Last Page:66
Parent Title (English):Smart Cities, Green Technologies and Intelligent Transport Systems : 7th International Conference, SMARTGREENS, and 4th International Conference, VEHITS 2018, Funchal-Madeira, Portugal, March 16-18, 2018, Revised Selected Papers
ISBN:978-3-030-26632-5 (Softcover)
ISBN:978-3-030-26633-2 (eBook)
DOI:https://doi.org/10.1007/978-3-030-26633-2_3
Language:English
Inhaltliche Informationen
Institutes:Forschung / INES - Institut für nachhaltige Energiesysteme
Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
GND Keyword:Energiemanagement
Tag:Battery storage; Model Predictive Control; Peak shaving
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt