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Wyszukujesz frazę "power margin" wg kryterium: Temat


Wyświetlanie 1-5 z 5
Tytuł:
Frequency control of voltage sourced converter-based multi-terminal direct current interconnected system based on virtual synchronous generator
Autorzy:
Li, Congshan
Zhang, Xiaowei
He, Ping
Zhen, Zikai
Zhao, Kefeng
Powiązania:
https://bibliotekanauki.pl/articles/27309962.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
adaptive droop control
power margin
VSG
virtual synchronous generator
Opis:
In response to the inability of the flexible DC transmission system connected to the AC grid under conventional control strategies to provide inertia to the system as well as to participate in frequency regulation, a virtual synchronous generator (VSG) control strategy is proposed for a voltage source converter (VSC)-based multi-terminal high-voltage direct current (VSC-MTDC) interconnection system. First, the virtual controller module is designed by coupling AC frequency and active power through virtual inertia control, so that the VSC-MTDC system can provide inertia response for AC grid frequency. Second, by introducing the power margin of the converter station into the droop coefficient, the unbalanced power on the DC side is reasonably allocated to reduce the overshoot of the DC voltage in the regulation process. Finally, the power regulation capability of the normal AC system is used to provide power support to the fault end system, reducing frequency deviations and enabling inter-regional resource complementation. The simulation model of the three-terminal flexible DC grid is built in PSCAD/EMTDC, and the effectiveness of the proposed control strategy is verified by comparing the conventional control strategy and the additional frequency control strategy.
Źródło:
Archives of Electrical Engineering; 2023, 72, 4; 971--986
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ultra-low Power FinFET SRAM Cell with Improved Stability Suitable for Low Power Applications
Autorzy:
Birla, Shilpi
Powiązania:
https://bibliotekanauki.pl/articles/226772.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
FinFET
RSNM
WSNM
hold margin
subthreshold
leakage power
Opis:
In this paper, a new 11T SRAM cell using FinFET technology has been proposed, the basic component of the cell is the 6T SRAM cell with 4 NMOS access transistors to improve the stability and also makes it a dual port memory cell. The proposed cell uses a header scheme in which one extra PMOS transistor is used which is biased at different voltages to improve the read and write stability thus, helps in reducing the leakage power and active power. The cell shows improvement in RSNM (Read Static Noise Margin) with LP8T by 2.39x at sub-threshold voltage 2.68x with D6T SRAM cell, 5.5x with TG8T. The WSNM (Write Static Noise Margin) and HM (Hold Margin) of the SRAM cell at 0.9V is 306mV and 384mV. At sub-threshold operation also it shows improvement. The Leakage power reduced by 0.125x with LP8T, 0.022x with D6T SRAM cell, TG8T and SE8T. Also, impact of process variation on cell stability is discussed.
Źródło:
International Journal of Electronics and Telecommunications; 2019, 65, 4; 603-609
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A self-scheduling strategy of virtual power plant with electric vehicles considering margin indexes
Autorzy:
Jiao, Fengshun
Deng, Yongsheng
Li, Duo
Wei, Bo
Yue, Chengyan
Cheng, Meng
Zhang, Yapeng
Zhang, Jiarui
Powiązania:
https://bibliotekanauki.pl/articles/949880.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
electric vehicle (EV)
response time margin (RTM)
scheduling strategy
state of charge margin (SOCM)
virtual power plant (VPP)
Opis:
From the perspective of a virtual power plant (VPP) with electric vehicles (EVs), a self-scheduling strategy considering the response time margin (RTM) and state of charge margin (SOCM) is proposed. Firstly, considering the response state of the state of charge (SOC) and charge-discharge state of EVs, a VPP based response capacity determination model of EVs is established. Then, RTM and SOCM indexes are introduced on the basis of the power system scheduling target and the EV users’ traveling demands. The RTM and SOCM indices are calculated and then are used to generate a priority sequence of responsive EVs for the VPP. In the process of the scheduling period and rolling iteration, the scheduling schemes of the EVs in the VPP for multiple time periods are determined. Finally, the VPP self-scheduling strategy is validated by taking an VPP containing three kinds of EV users as an example. Simulation results show that with the proposed strategy, the VPP is able to respond to the scheduling power from the power system, while ensuring the traveling demands of the EV users at the same time.
Źródło:
Archives of Electrical Engineering; 2020, 69, 4; 907-920
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of nonlinearities in sensor and actuator on the operation of the rotational speed control system of a roadheader cutting head
Autorzy:
Joostberens, Jarosław
Heyduk, Adam
Powiązania:
https://bibliotekanauki.pl/articles/27324344.pdf
Data publikacji:
2022
Wydawca:
Instytut Techniki Górniczej KOMAG
Tematy:
roadheader
speed control system
rotational encoder
power electronic converter
stability margin
Opis:
The paper presents a discussion on the selected nonlinearities existing in sensor and actuator subsystems of the roadheader cutting head speed control system. There have been concerned the most significant nonlinearities - rotational speed encoder and frequency rate limiter in the input of the power electronic converter. These nonlinearities significantly reduce the stability margin of the control system and therefore should be minimized. They have also an influence on allowable speed controller settings range. Reduction in the controller settings can result in a decrease in the quality of operation of the entire control system. The measurement time of the encoder-based speed sensing should be as short as possible, or continuous measurement (like tachogenerator) should be used. The frequency converter should be overmatched to ensure current overload capability – allowing an increase in the permissible rate of output voltage frequency change.
Źródło:
Mining Machines; 2022, 40, 4; 249--257
2719-3306
Pojawia się w:
Mining Machines
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Short-term wind power combined prediction based on EWT-SMMKL methods
Autorzy:
Li, Jun
Ma, Liancai
Powiązania:
https://bibliotekanauki.pl/articles/1955182.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
combined model
empirical wavelet transform
prediction
soft margin multiple kernel learning
wind power
model łączony
empiryczna transformacja falkowa
przewidywanie
miękki margines uczenia wielokrotnego jądra
energia wiatrowa
Opis:
Since wind power generation has strong randomness and is difficult to predict, a class of combined prediction methods based on empirical wavelet transform (EWT) and soft margin multiple kernel learning (SMMKL) is proposed in this paper. As a new approach to build adaptive wavelets, the main idea is to extract the different modes of signals by designing an appropriate wavelet filter bank. The SMMKL method effectively avoids the disadvantage of the hard margin MKL method of selecting only a few base kernels and discarding other useful basis kernels when solving for the objective function. Firstly, the EWT method is used to decompose the time series data. Secondly, different SMMKL forecasting models are constructed for the sub-sequences formed by each mode component signal. The training processes of the forecasting model are respectively implemented by two different methods, i.e., the hinge loss soft margin MKL and the square hinge loss soft margin MKL. Simultaneously, the ultimate forecasting results can be obtained by the superposition of the corresponding forecasting model. In order to verify the effectiveness of the proposed method, it was applied to an actual wind speed data set from National Renewable Energy Laboratory (NREL) for short-term wind power single-step or multi-step time series indirectly forecasting. Compared with a radial basic function (RBF) kernel- based support vector machine (SVM), using SimpleMKL under the same condition, the experimental results show that the proposed EWT-SMMKL methods based on two different algorithms have higher forecasting accuracy, and the combined models show effectiveness.
Źródło:
Archives of Electrical Engineering; 2021, 70, 4; 801-817
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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