Operating Strategies for Battery Storage Systems in Low-Voltage Grids to Limit the Feed-In Power of Solar Power Systems Using Fuzzy Control

Operating Strategies for Battery Storage Systems in Low-Voltage Grids to Limit the Feed-In Power... Germany’s energy turnaround is leading to an increasing integration of photovoltaics (PVs) throughout its distribution grid. To ensure safe grid operation in times of high solar radiation, PV plants must either be throttled back to comply with the feed-in limitation or store a portion of their excess electricity in batteries. This paper presents a grid-optimized operating strategy for PV storage systems based on a Fuzzy Logic Controller that reduces peak feed-in and thus also PV curtailment losses. The Fuzzy Logic Controller uses data on PV power surplus and battery charge level as input variables. To obtain good results, the set of numerical parameters of the membership functions is enhanced by evolutionary programming. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Zeitschrift für Energiewirtschaft Springer Journals

Operating Strategies for Battery Storage Systems in Low-Voltage Grids to Limit the Feed-In Power of Solar Power Systems Using Fuzzy Control

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Publisher
Springer Fachmedien Wiesbaden
Copyright
Copyright © 2017 by Springer Fachmedien Wiesbaden
Subject
Engineering; Energy Economics; Power Electronics, Electrical Machines and Networks; Renewable and Green Energy; Energy Technology; Environment, general
ISSN
0343-5377
eISSN
1866-2765
D.O.I.
10.1007/s12398-017-0198-7
Publisher site
See Article on Publisher Site

Abstract

Germany’s energy turnaround is leading to an increasing integration of photovoltaics (PVs) throughout its distribution grid. To ensure safe grid operation in times of high solar radiation, PV plants must either be throttled back to comply with the feed-in limitation or store a portion of their excess electricity in batteries. This paper presents a grid-optimized operating strategy for PV storage systems based on a Fuzzy Logic Controller that reduces peak feed-in and thus also PV curtailment losses. The Fuzzy Logic Controller uses data on PV power surplus and battery charge level as input variables. To obtain good results, the set of numerical parameters of the membership functions is enhanced by evolutionary programming.

Journal

Zeitschrift für EnergiewirtschaftSpringer Journals

Published: May 2, 2017

References

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