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An Optimal Charging Scheduler Based Charging Strategy of a Real Life Hybrid Energy Storage for a Solar and Wind Equipped Student Residence

Palaniswamy, Lakshimi Narayanan ORCID iD icon 1; Munzke, Nina ORCID iD icon 1; Kupper, Christian ORCID iD icon 1; Hiller, Marc 1
1 Elektrotechnisches Institut (ETI), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

With increasing renewable energy penetration globally, Energy Storage Systems (ESS) act as a vital component for transforming the current energy sector. In the form of Grid connected ESS, Lithium-Ion Battery (LIB) technology is presently the most popular form of ESS, especially because of its fast response capability, efficiency, and reducing market prices, but is not always preferred for long-term storage, due to its relatively shorter lifetime. A Redox Flow Battery (RFB) on the other hand has a higher lifetime and better long-term storage capability, but has a higher upfront cost and reduced round trip efficiency. A Hybrid ESS (HESS) consisting of LIB and RFB offers the advantages of both the technologies, thus making the individual ESS more economical and flexible to use while also improving its cycle lifetime. Such a grid-connected HESS is planned and installed for a student residence at Bruchsal accommodating 150 students and equipped with 220 kWp photovoltaics (PV) and 10.5 kWp wind-power.
In order to control this conglomerate, an Energy Management System (EMS) is deployed which not only controls but also optimizes its operations in real-time. ... mehr

Zugehörige Institution(en) am KIT Elektrotechnisches Institut (ETI)
Publikationstyp Vortrag
Publikationsdatum 14.10.2022
Sprache Englisch
Identifikator KITopen-ID: 1000151573
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Veranstaltung 21st Wind and Solar Integration Workshop (WIW 2022), Den Haag, Niederlande, 12.10.2022 – 14.10.2022
Projektinformation BiFlow (BMWK, 03EI3025A)
Schlagwörter stationary energy storage, grid-connected, hybrid energy storage, lithium-ion, vanadium redox-flow, optimization, power-to-heat
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