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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 useThis 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.‚Ķshow moreshow less

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Metadaten
Author:Deepranjan Dongol, Thomas Feldmann, Elmar BollinGND, Michael Schmidt
Publisher:Springer
Place of publication:Cham, Switzerland
Year of Publication:2019
Date of first Publication:2019/09/02
ISBN:978-3-030-26632-5
Language:English
GND Keyword:Energiemanagement
Tag:Battery storage; Model Predictive Control; Peak shaving
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
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
First Page:44
Last Page:66
Document Type:Conference Proceeding
Institutes:Hochschule Offenburg / Bibliografie
Acces Right:Zugriffsbeschränkt
Release Date:2020/01/15
Licence (German):License LogoEs gilt das UrhG
DOI:https://doi.org/10.1007/978-3-030-26633-2_3