DC voltage control is critical for grid-connected inverters, as it contributes to reduce the DC capacitance and improve system reliability as well as MPPT performance. A predictive control scheme of DC voltage for sin...
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DC voltage control is critical for grid-connected inverters, as it contributes to reduce the DC capacitance and improve system reliability as well as MPPT performance. A predictive control scheme of DC voltage for single-stage three-phase grid-connected PV inverters is proposed based on the analysis of the energy balance relationship in one control period, while AC current is also regulated by predictive control. The proposed scheme provides both good dynamic and steady-state performance. The dynamic response is especially excellent. The DC voltage is adjusted as fast as possible with little overshoot.
As the support structure of wind turbine, the tower bears alternating loads of wind when the wind turbine runs. To ensure the reliability of the wind turbine, it's necessary to carry out modal analysis on the towe...
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As the support structure of wind turbine, the tower bears alternating loads of wind when the wind turbine runs. To ensure the reliability of the wind turbine, it's necessary to carry out modal analysis on the tower, and this would prevent the natural frequency of the tower close to the rated speed of wind turbine. In this paper, finite element analysis of the tower is solved using ANSYS, and the natural frequencies and modes of the tower are presented. After comparing the results of three models, a simple model for modal analysis, which can be calculated in short time, is finally determined.
The vibration signals of wind turbines are highly nonlinear and non-stationary due to wind turbine operation conditions that are very complicated. The signals will be more complex when a fault occurs. Aiming at these ...
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The vibration signals of wind turbines are highly nonlinear and non-stationary due to wind turbine operation conditions that are very complicated. The signals will be more complex when a fault occurs. Aiming at these problems, a fault diagnosis method for direct-drive wind turbine is presented based on back propagation neural network (BPNN). The time-domain feature parameters of vibration signals in the horizontal and vertical direction are considered in the method. Five experiments of direct-drive wind turbine with normal, wind wheel mass imbalance, wind wheel aerodynamic imbalance, yaw and blade break are carried out in laboratory scale. Through analyzing the features of five conditions, the time-domain feature parameters in horizontal and vertical direction of the vibration signal are selected as the input samples of BPNN. By training, the BPNN model can be constructed between feature parameters and fault types. The validity of the BPNN model is verified using test samples. The results indicate that the proposed method has higher diagnostic accuracy. It can used in on-line fault diagnosis of direct-drive wind turbines.
For large current, switching devices such as MOSFET and IGBT, often have to be connected in parallel. Due to this reason, derating and preselection of the switching devices become necessary to develop high-power conve...
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For large current, switching devices such as MOSFET and IGBT, often have to be connected in parallel. Due to this reason, derating and preselection of the switching devices become necessary to develop high-power converters. The current imbalance can be produced by stray inductances, device characteristic difference or asymmetric circuit. Moreover, thermal imbalance is another important reason for current balancing. The static and transient characteristics of an IGBT vary sensitively with its junction temperature. This paper focuses on the current sharing of IGBTs in parallel with thermal imbalance. In this paper, an active gate control method which can achieve current balancing of the IGBTs in parallel with thermal imbalance, is explained and verified by experiments. This method can be applied to an actual 160kW/380V power electronics converter prototype for improving the utilization of the switching devices and enhancing system reliability.
A Micro Fluidized Bed Reaction Analyzer (MFBRA) was used to study the pyrolysis of biomass in argon. Through on-line pulse feeding of reactant and continuously monitoring the composition changes of gas product, the MF...
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A Micro Fluidized Bed Reaction Analyzer (MFBRA) was used to study the pyrolysis of biomass in argon. Through on-line pulse feeding of reactant and continuously monitoring the composition changes of gas product, the MFBRA enables the measurement of reaction rates at arbitrary temperatures, the deduction of kinetic parameters and the analysis of reaction mechanism. By applying to biomass pyrolysis this article found that the pyrolysis reaction can finish in about 10 s, which is much shorter than the other literature values obtained in larger fluidized bed reactors but very close to the theoretically anticipated values. The detected evolving sequences of different gas species and the deduced kinetic parameters demonstrate further that the reactions between/among the formed different gas species in pyrolysis prevail to certain degree and there are different pathways for forming the different gas species. The activation energy and pre-exponential factor derived by treating the pyrolysis gas as a single product are 11.77 kJ/mol and 1.45 s −1 , which are obviously lower than the literature values measured in thermogravimetric analyzers.
Semi-circular open channel plays an important role in various applications and the measurement of its discharge is of *** this study,theoretical formulae for free overflow in a semi-circular channel are developed and ...
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Semi-circular open channel plays an important role in various applications and the measurement of its discharge is of *** this study,theoretical formulae for free overflow in a semi-circular channel are developed and presented for the discharge and wetted area *** traditional discharge formulation and available experimental data are used to verify and validate the proposed *** discharges calculated by using the proposed relationship show very good agreement with the experimental data *** results from this study supply the basis for circular weir development.
Task allocation has been widely studied in high-performance computing environment. However, existing task allocation algorithms can not be directly applied to WSN because of the limited energy resources and computing ...
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Task allocation has been widely studied in high-performance computing environment. However, existing task allocation algorithms can not be directly applied to WSN because of the limited energy resources and computing capabilities of the Wireless Sensor Network (WSN). In this paper, we propose a new auction-based task allocation model for WSN and create an energy consumption based utility function to evaluate the allocation plan. Moreover, new policies are added into traditional auction scheme. simulation results show that the proposed improved auction mechanism of Multi-Agent system (MAS) auto-negotiation model is a real-time and effective scheme, which can be carried out to allocate tasks for WSN with a high success rate.
We report a novel system for highly stable 100 MHz mode locked pulse as a reference frequency signal transfer through a round trip 20 km urban fiber link. An electronic approach for compensating the fluctuations intro...
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We report a novel system for highly stable 100 MHz mode locked pulse as a reference frequency signal transfer through a round trip 20 km urban fiber link. An electronic approach for compensating the fluctuations introduced by the link is proposed and implemented. The rms phase fluctuation was reduced from 75 mrad (118 ps) to 4 mrad (6.3 ps) in 48 hours, and the frequency stability was improved by three orders of magnitude in the measurement time.
Networks have been considered an effective tool to describe the topological structure of software. Recently, many object-oriented software systems were found to share global network features such as scale free and sma...
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Networks have been considered an effective tool to describe the topological structure of software. Recently, many object-oriented software systems were found to share global network features such as scale free and small world. In this paper, we defined a special structural feature of individual class to investigate the relationship between external structure and internal function. The metric (m) takes in-degree and reachable set of nodes in class-level dependency graphs derived from source code into consideration. Experimental results show that (1) the distribution of frequency-of-occurrence of m roughly follows a power-law distribution, and (2) there is a weak but distinct positive correlation between m and either WMC or LCOM, and classes with complex multiple-dependency structure have on average more complicated functions (and less cohesion) than other classes within specific groups classified by m. Thus, the metric could be a useful complementary measure for traditional OO metrics to analyze the complexity, stability and maintainability of classes.
The hybrid excitation permanent magnet machine (HEPMM) combines two kinds of excitation: permanent magnet (PM) and electrical excitation, so it possesses the advantages of PM machines and overcomes the incapability of...
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ISBN:
(纸本)9788986510119
The hybrid excitation permanent magnet machine (HEPMM) combines two kinds of excitation: permanent magnet (PM) and electrical excitation, so it possesses the advantages of PM machines and overcomes the incapability of regulating the excitation field. By now many HEPMM schemes have been presented. In this paper the operation principle, structure, advantages and disadvantages of these HEPMMs have been reviewed and compared in detail. These HEPMMs are classified into three types by new classification method - placement of PM and iron poles. At last novel harmonic excitation HEPMM is proposed and discussed.
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