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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Abstract	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.
AbstractList	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. 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.
Author	Mansour, Samah Maier, Martin Joós, Géza Harrabi, Intissar
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SubjectTerms	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
Title	Co-simulation study of performance trade-offs between centralised, distributed, and hybrid adaptive PEV charging algorithms
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