Response capability evaluation model of electric vehicle aggregator based on evolutionary game and response anticipation...
Published in Frontiers in Energy Research
Response capability evaluation model of electric vehicle aggregator based on evolutionary game and response anticipation...
Enhanced control strategy and energy management for a photovoltaic system with hybrid energy storage based on self-adapt...
Published in Frontiers in Energy Research
Large-scale energy storage systems (ESSs) that can react quickly to energy fluctuations and store excess energy are required to increase the reliability of electricity grids that rely heavily on renewable energy sources (RESs). Hybrid systems, which combine different energy storage technologies such as batteries and supercapacitors, are becoming in...
An optimal dispatch schedule of EVs considering demand response using improved MACD algorithm
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Published in Frontiers in Energy Research
The growing popularity of electric vehicles presents a significant challenge to current electric grids since the rising number of these vehicles places additional strain on power systems inside distribution networks. A proposed paradigm is presented for electric vehicles (EVs), which is subsequently partitioned into three distinct dispatching areas...
Understanding sustainability effectiveness on design strategy of ten-lane expressway merging areas based on entropy meth...
Published in Frontiers in Energy Research
Due to the rapid growth of traffic volume, some existing expressways are being transformed into two-way ten-lane configurations. The increased lane flexibility of two-way ten-lane expressways implies a more serious mixing of passenger and freight traffic, thus necessitating a focus on traffic organization, especially at bottleneck sections. This st...
The effect of synergistic pollution and carbon reduction in the digital economy: Quasi-experimental evidence from Chines...
Published in Frontiers in Energy Research
Introduction: The digital economy plays a crucial role in achieving synergistic reduction in air pollutants and carbon emissions. Methods: A super-efficiency slack-based model with undesirable outputs was applied to systematically calculate the efficiency of synergistic air pollutants and carbon emissions governance (ESACG). This study used the dif...
Power stability control of wind-PV-battery AC microgrid based on two-parameters fuzzy VSG
Published in Frontiers in Energy Research
Virtual synchronous generator (VSG) control addresses the issue of decreasing microgrid standby inertia caused by the rise in wind turbines and photovoltaic (PV) penetration. However, various types of perturbations occur frequently making the traditional constant parameter VSG control unable to meet the system performance requirements, and thus a t...
Analysis of the impact of transient overvoltage on grid-connected PMSG-based wind turbine systems
Published in Frontiers in Energy Research
The annual increase in installation capacity and electrical production of renewable energy sources, primarily wind turbine generators (WTG), is shaping a renewable energy dominated power system. WTGs are susceptible to the temporary overvoltage caused by reactive power surplus following low-voltage ride through (LVRT). This can lead to the large-sc...
Experimental study on impact of high voltage power transmission lines on silicon photovoltaics using artificial neural n...
Published in Frontiers in Energy Research
The recent trend of renewable energy has positioned solar cells as an excellent choice for energy production in today’s world. However, the performance of silicon photovoltaic (PV) panels can be influenced by various environmental factors such as humidity, light, rusting, temperature fluctuations and rain, etc. This study aims to investigate the po...
Techno-economic model for long-term revenue prediction in distribution grids incorporating distributed energy resources
Published in Frontiers in Energy Research
Distributed energy resources (DER) is a prevalent technology in distribution grids. However, it poses challenges for distribution network operators to make optimal decisions, estimate total investment returns, and forecast future grid operation performance to achieve investment development objectives. Conventional methods mostly rely on current dat...
Research on new energy vehicle charging prediction based on Monte Carlo algorithm and its impact on distribution network...
Published in Frontiers in Energy Research
With the vigorous promotion of new energy policies, the large-scale charging of new energy vehicles has put forward higher requirements for the safety and stability of the distribution network. Based on the daily driving habits and charging patterns of new energy vehicles, a Monte Carlo sampling algorithm was used to establish a charging load model...
