V2G Multi-Objective Optimization Considering Data-Driven User's Demand Response

Author:

Du Yijiang1,Li Tianyu2,Li Mingjia3,Sun Yaojie4

Affiliation:

1. Fudan University,Department of Information Technology,Shanghai,China

2. Institute for Six-Sector Economy Fudan University,Department of Light Sources and Illuminating Engineering,Shanghai,China

3. Shanghai Engineering Research Center for Artificial,School of Information Science and Technology Fudan University,Shanghai,China

4. Shanghai Engineering Research Center for Artificial Intelligence and Integrated Energy,School of Information Science and Technology Fudan University Institute for Six-Sector Economy Fudan University,Shanghai,China

Funder

Research and Development

State Grid Corporation of China

Publisher

IEEE

Reference20 articles.

1. Multi-objective Capacity Optimization Configuration of Photovoltaic Microgrid Energy Storage System Based on Demand Response;zhou;Power System Technology,2016

2. Analysis on Power Grid Load after Electric Vehicles Connected to Power Grid by V2G;zhou;Zhejiang Electric Power,2014

3. Multi-dimensional signaling method for population-based metaheuristics: Solving the large-scale scheduling problem in smart grids;joao;Swarm and Evolutionary Computation,2016

4. Multi-objective stochastic scheduling optimization model for connecting a virtual power plant to wind-photovoltaic-electric vehicles considering uncertainties and demand response;liwei;Energy Conversion and Management,2016

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