Mathematical Optimization Model for the Application-Based Multi-Use of Residential Prosumer Battery Storage Systems

The single-use of a stationary residential battery storage system (BSS) to increase self-consumption does not fully utilize its technical potential. The application-based multi-use of BSSs provides an opportunity to increase the effective usage of BSSs' technical potential and resulting profits, aiding in overcoming the barrier of high investment cost. This research presents a mathematical optimization model for the dynamic application-based multi-use of stationary residential BSSs with the objective of maximizing the applications', respectively, the prosumers' profit. Four applications are modeled: self-consumption increase, feed-in and load peak shaving, provision of frequency contain-ment reserve, and spot market trading. Within an exemplary prosumer scenario, the functionality of the multi-use model for BSSs and its applications is verified, and its economic benefit for residential prosumers is proven.

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Publication Details

Published
2024-11-24
DOI
https://doi.org/10.1109/ispec59716.2024.10892539
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17

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article

Mathematical Optimization Model for the Application-Based Multi-Use of Residential Prosumer Battery Storage Systems

Bernd Engel, Henrik Wagner, Merle Ferk
1 citations
Power Systems and Renewable Energy
0.17
article

Mathematical Optimization Model for the Application-Based Multi-Use of Residential Prosumer Battery Storage Systems

Bernd Engel, Henrik Wagner, Merle Ferk
article en
1 citations

Abstract

The single-use of a stationary residential battery storage system (BSS) to increase self-consumption does not fully utilize its technical potential. The application-based multi-use of BSSs provides an opportunity to increase the effective usage of BSSs' technical potential and resulting profits, aiding in overcoming the barrier of high investment cost. This research presents a mathematical optimization model for the dynamic application-based multi-use of stationary residential BSSs with the objective of maximizing the applications', respectively, the prosumers' profit. Four applications are modeled: self-consumption increase, feed-in and load peak shaving, provision of frequency contain-ment reserve, and spot market trading. Within an exemplary prosumer scenario, the functionality of the multi-use model for BSSs and its applications is verified, and its economic benefit for residential prosumers is proven.

Technische Universität Braunschweig (DE)
Niedersächsische Ministerium für Wissenschaft und Kultur
Affordable and clean energy
Openalex Percentile: Top 40%
Power Systems and Renewable Energy
0.17
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