Review on deep learning applications in frequency analysis and control of modern power system
The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …
regional power grids in wide area and large scale have led the modern power system to …
[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
Operation optimization approaches of electric vehicle battery swap** and charging station: A literature review
The battery swap** mode (BSM) for an electric vehicle (EV) is an efficient way of
replenishing energy. However, there have been perceived operation-related issues related …
replenishing energy. However, there have been perceived operation-related issues related …
A survey of battery swap** stations for electric vehicles: Operation modes and decision scenarios
H Wu - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
The population of electric vehicles (EVs) has grown rapidly over the past decade due to the
development of EV technologies, battery materials, charger facilities, and public charging …
development of EV technologies, battery materials, charger facilities, and public charging …
Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
Learning to operate an electric vehicle charging station considering vehicle-grid integration
The rapid adoption of electric vehicles (EVs) calls for the widespread installation of EV
charging stations. To maximize the profitability of charging stations, intelligent controllers …
charging stations. To maximize the profitability of charging stations, intelligent controllers …
Deep-reinforcement-learning-based capacity scheduling for PV-battery storage system
Investor-owned photovoltaic-battery storage systems (PV-BSS) can gain revenue by
providing stacked services, including PV charging and frequency regulation, and by …
providing stacked services, including PV charging and frequency regulation, and by …
Application of artificial intelligence for EV charging and discharging scheduling and dynamic pricing: A review
The high penetration of electric vehicles (EVs) will burden the existing power delivery
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …
Coordinated electric vehicle active and reactive power control for active distribution networks
The deployment of renewable energy in power systems may raise serious voltage
instabilities. Electric vehicles (EVs), owing to their mobility and flexibility characteristics, can …
instabilities. Electric vehicles (EVs), owing to their mobility and flexibility characteristics, can …
Two-stage self-scheduling of battery swap** station in day-ahead energy and frequency regulation markets
C Wu, X Lin, Q Sui, Z Wang, Z Feng, Z Li - Applied Energy, 2021 - Elsevier
Battery swap** stations (BSS) face two major problems in the frequency regulation
market: 1) battery degradation cost with the effect of regulation, and 2) the uncertainties in …
market: 1) battery degradation cost with the effect of regulation, and 2) the uncertainties in …