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Voltage-Dependent Load Levelling Approach by means of Electric Vehicle Fast Charging Stations

Gao, Xiang; De Carne, Giovanni; Andresen, Markus; Bruske, Sebastian; Pugliese, Sante; Liserre, Marco

Abstract (englisch):
Intermittent generation and load demand are one of the major challenges for grid operators. Caused for example by renewables power variability or electric vehicle charging, it can create mismatches between the realtime and forecasted demand, affecting frequency regulation. To alleviate this mismatch, operators have to resort either on the balancing market or on extensive use of energy storage systems, which increases operation costs. This paper introduces a load levelling approach exploiting the voltage dependency of the loads. With a controlled reactive power injection, the converters of fast charging stations can influence the voltage profile, and consequently the power consumption of voltage-dependent loads. The approach has two main goals: minimizing the mismatches with respect to the demand forecast and reducing the grid losses. Fast charging stations are particularly suited for this approach. Being employed with full capacity for charging only for short-time, their spare capacity can be exploited to apply the load levelling approach. This proposed approach is discussed theoretically and analyzed in a modified distribution network in Northern Germany. ... mehr

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Postprint §
DOI: 10.5445/IR/1000129813
Veröffentlicht am 18.02.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Physik (ITEP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2332-7782, 2372-2088
KITopen-ID: 1000129813
Weitere HGF-Programme 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Erschienen in IEEE transactions on transportation electrification
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Schlagwörter Fast charging station, load levelling, losses minimization, power-voltage sensitivity, reactive power control
Nachgewiesen in Dimensions
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