Co-simulation study of performance trade-offs between centralised, distributed, and hybrid adaptive PEV charging algorithms

In this paper, we propose a decentralised algorithm for coordinating the charging of multiple plug-in electric vehicles (PEVs) and extend it to a hybrid version by including the PEV’s charging strategies into the optimisation function. Going one step further, we also consider coordinated workplace c...

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Vydané v:Computer networks (Amsterdam, Netherlands : 1999) Ročník 93; s. 153 - 165
Hlavní autori: Mansour, Samah, Harrabi, Intissar, Maier, Martin, Joós, Géza
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Amsterdam Elsevier B.V 24.12.2015
Elsevier Sequoia S.A
Predmet:
Adaptive algorithms
Algorithms
Alternative fuel vehicles
Benchmarking
Benchmarks
Centralization
Charging
Co-simulation
Communication
Communications systems
Comparative analysis
Comparative studies
Computer simulation
Consumers
Customers
Decentralised
Decentralization
Delay
Electric power generation
Electric vehicles
Energy conversion efficiency
Hybrid
Infrastructure
Optimization algorithms
Panels
Photovoltaic cells
Plug-in electric vehicles
Power
Power efficiency
Power supply
Residential energy
Simulation
Smart grid communications
Solar cells
Traffic flow
Wireless communication systems
Wireless communications
Workplace communication
Workplaces
Plug-in electric vehicles
Hybrid
Decentralised
Smart grid communications
Co-simulation
ISSN:1389-1286, 1872-7069
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Shrnutí:In this paper, we propose a decentralised algorithm for coordinating the charging of multiple plug-in electric vehicles (PEVs) and extend it to a hybrid version by including the PEV’s charging strategies into the optimisation function. Going one step further, we also consider coordinated workplace charging integrating PV panels. The main focus of our work is to conduct a comparative study between a centralised benchmark algorithm, and the proposed decentralised and hybrid approaches from both communications and power perspectives. All algorithms are co-simulated over a converged fiber-wireless communication infrastructure of 342 residential customers. Power system results prove the efficiency of the proposed algorithms providing up to 19% peak shaving while meeting drivers’ requirements. Communication results of the decentralised algorithm compared to a centralised benchmark scheme provided better performance, measuring an upstream traffic rate of 1.28 Mbps with a maximum delay of 0.629 ms. Compared to the decentralised algorithm, the hybrid algorithm showed a promising improvement for large fleets of PEVs accompanied with an overhead communication cost that is significantly less than that of the centralised algorithm.
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ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2015.08.036