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Authors: Deepranjan Dongol ; Thomas Feldmann and Elmar Bollin

Affiliation: Offenburg University of Applied Sciences, Germany

Keyword(s): Mixed Integer Quadratic Programming, Peak Shaving, Model Predictive Control.

Related Ontology Subjects/Areas/Topics: Algorithms for Reduced Power, Energy and Heat ; Energy and Economy ; Energy Management Systems (EMS) ; Energy-Aware Systems and Technologies ; Mechanisms for Motivating Behaviour Change ; Smart Cities ; Sustainable Computing and Communications

Abstract: The increase in households with grid connected Photovoltaic (PV) battery system poses challenge for the grid due to high PV feed-in as a result of mismatch in energy production and load demand. The purpose of this paper is to show how a Model Predictive Control (MPC) strategy could be applied to an existing grid connected household with PV battery system such that the use of battery is maximized and at the same time peaks in PV energy and load demand are reduced. The benefits of this strategy are to allow increase in PV hosting capacity and load hosting capacity of the grid without the need for external signals from the grid operator. The paper includes the optimal control problem formulation to achieve the peak shaving goals along with the experiment set up and preliminary experiment results. The goals of the experiment were to verify the hardware and software interface to implement the MPC and as well to verify the ability of the MPC to deal with the weather forecast deviation. A p rediction correction has also been introduced for a short time horizon of one hour within this MPC strategy to estimate the PV output power behavior. (More)

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Paper citation in several formats:
Dongol, D.; Feldmann, T. and Bollin, E. (2018). A Model Predictive Control based Peak Shaving Application for a Grid Connected Household with Photovoltaic and Battery Storage. In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-292-9; ISSN 2184-4968, SciTePress, pages 54-63. DOI: 10.5220/0006685300540063

@conference{smartgreens18,
author={Deepranjan Dongol. and Thomas Feldmann. and Elmar Bollin.},
title={A Model Predictive Control based Peak Shaving Application for a Grid Connected Household with Photovoltaic and Battery Storage},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2018},
pages={54-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006685300540063},
isbn={978-989-758-292-9},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - A Model Predictive Control based Peak Shaving Application for a Grid Connected Household with Photovoltaic and Battery Storage
SN - 978-989-758-292-9
IS - 2184-4968
AU - Dongol, D.
AU - Feldmann, T.
AU - Bollin, E.
PY - 2018
SP - 54
EP - 63
DO - 10.5220/0006685300540063
PB - SciTePress

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