Optimal Scheduling of Electric Vehicle Integrated Energy Station Using a Novel Many-Objective Stochastic Competitive Optimization Algorithm

The construction of the Electric Vehicle Integrated Energy Station (EV-IES) is a prerequisite for the rapid development of the EV industry. However, how to optimize the operation of the EV-IES is a problem worthy of study. Therefore, this paper designs an EV-IES model with PV and Energy Storage Syst...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.129043-129059
Hauptverfasser:	Yin, Bangli, Liao, Xiang, Qian, Beibei, Ma, Jun, Lei, Runjie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Batteries Carbon dioxide Costs Electric vehicle Electric vehicles Energy storage EV integrated energy station Genetic algorithms Linear programming many-objective optimal scheduling MOCSO algorithm Multiple objective analysis Optimal scheduling Optimization Pollutants Revenue Scheduling Time of use electricity pricing Wind energy generation
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