Optimal vehicle-to-grid control for supplementary frequency regulation using deep reinforcement learning

Fayiz Alfaverh; Mouloud Denaï; Yichuang Sun

doi:10.1016/j.epsr.2022.108949

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Optimal vehicle-to-grid control for supplementary frequency regulation using deep reinforcement learning

Fayiz Alfaverh Mouloud Denaï Yichuang Sun

Year: 2022 Journal: Electric Power Systems Research Vol: 214 Pages: 108949-108949 Publisher: Elsevier BV

DOI: 10.1016/j.epsr.2022.108949

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Abstract

Keywords:

Reinforcement learning Vehicle-to-grid Demand response Automatic frequency control Grid Electric vehicle Electricity Scheduling (production processes) Frequency deviation Computer science Control (management) Optimal control Energy storage Automatic Generation Control Automotive engineering Electric power system Engineering Power (physics) Telecommunications Mathematical optimization Electrical engineering Artificial intelligence Operations management

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0.98

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Topics

Electric Vehicles and Infrastructure

Physical Sciences → Engineering → Electrical and Electronic Engineering

Electric and Hybrid Vehicle Technologies

Physical Sciences → Engineering → Automotive Engineering

Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Optimal vehicle-to-grid control for supplementary frequency regulation using deep reinforcement learning

Abstract

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Citation History

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