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Wyszukujesz frazę "charging load" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Study on the impact of electric vehicle charging load on nodal voltage deviation
Autorzy:
Ma, G.
Jiang, L.
Chen, Y.
Dai, C.
Ju, R.
Powiązania:
https://bibliotekanauki.pl/articles/141119.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
distribution network
electric vehicle charging load (EVCL)
stochastic load
voltage deviation
Opis:
The promotion and application of electric vehicles will contribute to the solution of several problems, such as energy shortage and environmental pollution, and the achievement of country economy and energy security. But a large-scale vehicle-to-grid system may cause adverse effects in the distribution network operation, the power network planning and such other parts. First, this paper collects the factors that influence the electric vehicle charging load and establishes the EV charging load model with a Monte- Carlo method. Then, we analyze the effect that the EV charging load made on the nodal voltage deviation under different permeability based on the IEEE30 node system. At last, this research gets the conclusion that the nodal voltage deviation is closely related to EV permeability, node type and node location. This research conclusion will provide practical guidance to the charging station planning.
Źródło:
Archives of Electrical Engineering; 2017, 66, 3; 495-505
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on electric vehicle charging load prediction and charging mode optimization
Autorzy:
Zhang, Zhiyan
Shi, Hang
Zhu, Ruihong
Zhao, Hongfei
Zhu, Yingjie
Powiązania:
https://bibliotekanauki.pl/articles/1841299.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
electric vehicles
Monte Carlo
wavelet neural network
charging load
pojazdy elektryczne
sieć neuronowa falkowa
Opis:
To reduce the influence of the disorderly charging of electric vehicles (EVs) on the grid load, the EV charging load and charging mode are studied in this paper. First, the distribution of EV charging capacity and state of charge (SOC) feature quantity are analyzed, and their probability density function is solved. It is verified that both EV charging capacity and SOC obey the skew-normal distribution. Second, considering the space-time distribution characteristics of the EV charging load, a method for charging load prediction based on a wavelet neural network is proposed, and compared with the traditional BP neural network, the prediction results show that the error of the wavelet neural network is smaller, and the effectiveness of the wavelet neural network prediction is verified. The optimization objective function with the lowest user costs is established, and the constraint conditions are determined, so the orderly charging behavior is simulated by the Monte Carlo method. Finally, the influence of charging mode optimization on power grid operation is analyzed, and the result shows that the effectiveness of the charging optimization model is verified.
Źródło:
Archives of Electrical Engineering; 2021, 70, 2; 399-414
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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