scholarly journals Research on the Output Characteristics of Emerging Market Entities Serving the Development of New Energy

2021 ◽  
Vol 329 ◽  
pp. 01075
Author(s):  
Shuo Yin ◽  
Xing Chen ◽  
Zhe Chai ◽  
Yao Lu ◽  
Danni Zhang

The power emerging market entities connected to the grid in a decentralized manner can increase the local new energy consumption rate. Under the background of accelerating the development of new energy, it is urgent to clarify the output characteristics of emerging market entities such as wind power, photovoltaics, energy storage, and electric vehicles to adapt to the development of distributed energy and the progress of power market reform. Major emerging entities contribute to mathematical analysis, promote the transaction design of emerging entities, and promote the rapid and healthy development of new energy.

2011 ◽  
Vol 383-390 ◽  
pp. 4151-4157
Author(s):  
Wen Qi Tian ◽  
Jing Han He ◽  
Jiu Chun Jiang ◽  
Cheng Gang Du

With the increase of new energy power generation, the requirement of smart grid and the popularity of electric vehicles, the research focus on V2G. With Electric vehicles being distributed energy storage or distributed generation, peak regulation in power system is involved in important functions of V2G. In order to achieve peak regulation function, the paper has analyzed the control relationship between the electric vehicles, V2G station and electric vehicle charge\ discharge control center, presented charge and discharge control strategy based on the two levels of electric vehicle charge\discharging control center and V2G station control layer and introduced algorithms and examples to achieve these strategies.


2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Y. Bello ◽  
T. Azib ◽  
C. Larouci ◽  
M. Boukhnifer ◽  
N. Rizoug ◽  
...  

The eco-driving profiles are algorithms able to use additional information in order to create recommendations or limitation over the driver capabilities. They increase the autonomy of the vehicle but currently their usage is not related to the autonomy required by the driver. For this reason, in this paper, the eco-driving challenge is translated into two-layer optimal controller designed for pure electric vehicles. This controller is oriented to ensure that the energy available is enough to complete a demanded trip, adding speed limits to control the energy consumption rate. The mechanical and electrical models required are exposed and analyzed. The cost function is optimized to correspond to the needs of each trip according to driver behavior, vehicle, and traject information. The optimal controller proposed in this paper is a nonlinear model predictive controller (NMPC) associated with a nonlinear unidimensional optimization. The combination of both algorithms allows increasing around 50% the autonomy with a limitation of the 30% of the speed and acceleration capabilities. Also, the algorithm is able to ensure a final autonomy with a 1.25% of error in the presence of sensor and actuator noise.


Author(s):  
Andrés Felipe Cortés Borray ◽  
Alejandro Garcés ◽  
Julia Merino ◽  
Esther Torres ◽  
Javier Mazón

2014 ◽  
Vol 541-542 ◽  
pp. 1549-1555 ◽  
Author(s):  
Jing Yu Wang ◽  
Ying Qi Liu ◽  
Ari Kokko

In order to respond to the energy crisis and environment problem, countries carry out their research and promotion about electric vehicles. As the ten cities one thousand new energy buses started in 2009, the new energy vehicles have been greatly developed in China, while the development of electric vehicles is not that good. This paper selects four cities-Los Angeles, Kanagawa, Hamburg, Amsterdam-that promote electric vehicles successfully and deeply analyzes the development of electric vehicles in these four cities and analyzes the factors that affect the development of electric vehicles in three aspects-city environment, government and stakeholders. Then the paper discusses the promotion ways and role of government and consumer. Finally, the paper offers some suggestions to promote electric vehicles in China: focusing on feasibility and adaptability of electric vehicles, playing government`s leading role, improving low-awareness and acceptance of electric vehicles and focusing on user requirements.


2013 ◽  
Vol 860-863 ◽  
pp. 1164-1172 ◽  
Author(s):  
Feng Ni ◽  
Zhi Jian Liu ◽  
Hao Zhang ◽  
Shuo Liu ◽  
Feng Wu

With the development of technologies of large capacity batteries and electric vehicles, the number of electric-car will increase dramatically. As a result, disorderly charging will cause a significant impact on the safe and economic operation of power system. Charging load has its adjustability on dual scale of time and space. With this feature, load dispatch in both time and space for dual scale is possible which has a positive effect on the operation of power grid. This paper introduces some recent research achievements on orderly charge control, including electric vehicle charging demand characteristics and load model. Explores the orderly charging, especially the control effectiveness of V2G mode on cases of peak-shift, coordinated operation of new energy, frequency regulation and other aspects. Orderly control strategy for electric vehicles is also put forward. Finally, points out the deficiencies of current research and prospects for future.


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