Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks

The growing uptake of electric vehicles (EVs) will likely require management schemes to enable their connection into distribution systems. While most of the existing approaches are developed from the operator's perspective considering EV aggregated demands at the medium-voltage (MV) level, indi...

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Veröffentlicht in:IEEE systems journal Jg. 17; H. 1; S. 1247 - 1258
Hauptverfasser: Banol Arias, Nataly, Sabillon, Carlos, Franco, John Fredy, Quiros-Tortos, Jairo, Rider, Marcos J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Coordination
Costs
Delays
Distribution systems
dynamic scheduling
Electric potential
Electric vehicle charging
Electric vehicles
electric vehicles (EVs)
hierarchical optimization
Indexes
Integer programming
Linear programming
Mathematical models
Mixed integer
Optimization
Scheduling
State of charge
User satisfaction
Voltage
ISSN:1932-8184, 1937-9234
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Zusammenfassung:The growing uptake of electric vehicles (EVs) will likely require management schemes to enable their connection into distribution systems. While most of the existing approaches are developed from the operator's perspective considering EV aggregated demands at the medium-voltage (MV) level, individual users' comfort and the particularities associated with low-voltage (LV) networks need to be considered to holistically assess the EV effects in an integrated MV/LV network. This article proposes a two-level hierarchical optimization framework for the EV charging coordination (EVCC) that maximizes users' satisfaction, while avoiding operational grid issues in the whole distribution system. The framework is tailored for unbalanced distribution systems with high penetration of EVs and introduces a novel index to measure charging priority-based EV user satisfaction. To reduce the computational burden, the EVCC problem is disaggregated into an upper level for MV network operation, and a lower level for LV network and individual EV scheduling, using mixed-integer linear programming models. This framework is later embedded in a dynamic scheduling approach that copes with unexpected EV arrivals. Benefits (increased overall user satisfaction and reduced strain over distribution assets) are demonstrated via case studies in a 459-node three-phase network in which solutions were achieved under a 60-s threshold.
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ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2022.3188220