Design of RLC Circuit Parameter and Fault Location Test Device

In order to improve the quality and performance of electronic equipment, circuit parameters and fault detection technology are also very important. The impedance value, which differs obviously under different input signals in the analog circuit, is also an important parameter. Through the analysis of this parameter, RLC circuit parameters and fault location detection can be realized. In this paper, STM32 is used as the main controller to control the signal source to generate sinusoidal signal. The signal processing is completed by designing the amplifier module, and the signal acquisition is completed by the digital to analog conversion module. In the controller, the impedance analysis, the measurement of component parameters, the detection of load network structure and the measurement of short-circuit point position are completed. Finally, the designed system was used to test different structural loads, and the detection results of component parameters, load network structure and short-circuit point position are accurate and reliable.

Effect of parasitic resistances on CdTe solar cell and validation with datasheet of FS-6450A in Matlab/Simulink

Cadmium telluride (CdTe) is the second popular choice after silicon for the solar cell in photovoltaic (PV) technology. Among the thin-film photovoltaic panels, CdTe reaches its first position to surpass crystalline silicon PV in cheapness and confined a large space in the PV market. Before constructing CdTe PV panels its operating characteristics should be properly judged. Any solar cell being related to a high level of nonlinearity, the model parameter is to be chosen judiciously. The operating characteristics can be well considered after the model circuit parameter comes accurately. In this paper operating characteristics of a thin-film CdTe solar module is shown with the variation of series and shunt resistance. Also considering parasitic resistances, the output characteristics of the solar cell varying climate condition is shown. Validation with FS-6450A PV module and all the simulation works are done in Matlab/Simulink environment. In the end, it is concluded with possible outcomes.

Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions

Due to the easiness of setup and great energy efficiency, direct current (DC) microgrids (MGs) have become more common. Solar photovoltaic (PV) and fuel cell (FC) systems drive the DC MG. Under varying irradiance and temperature, this work proposes a fuzzy logic controller (FLC) based maximum power point tracking (MPPT) approach deployed to PV panel and FC generated boost converter. PV panels must be operated at their maximum power point (MPP) to enhance efficiency and shorten the system’s payback period. There are different kinds of MPPT approaches for using PV panels at that moment. Still, the FLC-based MPPT approach was chosen in this study because it responds instantaneously to environmental changes and is unaffected by circuit parameter changes. Similarly, this research proposes a better design strategy for FLC systems. It will improve the system reliability and stability of the response of the system. An FLC evaluates PV and FC via DC–DC boost converters to obtain this enhanced response time and accuracy.

DESIGN OF MAXIMUM POWER POINT TRACKER CONTROLLER FOR BOOST CONVERTER PHOTOVOLTAIC ARRAY SYSTEM BASED ON FUZZY MAMDANI LOGIC

This paper discusses the analysis for a proposed design of a maximum power point tracker (MPPT) controller for a photovoltaic (PV) array solar system. Deploying a fuzzy Mamdani logic to track the maximum- power for the PV system when the atmospheric conditions are changed. The fuzzy Mamdani logic controller techniques have high efficiency, rapid response to new environmental factors, and are unaffected by circuit parameter changes. This controller able to adjust the duty cycle fed switching circuit of DC/DC boost to increase the output voltage of the system. By using a Simulink MATLAB, the system with the controller is stimulated and studied for different atmospheric conditions. We choose three irradiation levels of 1000, 800, and 600 W/m2 at a certain temperature of 25 ℃ and three values for the temperature of 20, 30,35 ℃ at irradiation level of 1000 W/m2 to calculate the efficiency of the algorithm. The extracted efficiency results are compared with the usual Perturb and Observe algorithm MPPT topology (P&O) for the same system design and atmospheric conditions. It was found to be the controller efficiency of the proposed algorithm is improved up to 99%. This improvement maximizes performance and reduces costs, provides adequate current and voltage, and minimizes booster losses, and improves booster reliability.

Method for QCM Resonator Device Equivalent Circuit Parameter Extraction and Electrode Quality Assessment

Quartz crystal microbalance (QCM) resonators are used in a wide range of sensors. Current QCM resonators achieve a simultaneous measurement of multiple physical quantities by analyzing lumped-element equivalent parameters, which are obtained via the introduction of external devices. This introduction of external devices will probably increase measurement error. To realize the measurement of multiple physical quantities while eliminating the measurement error caused by external devices, this paper proposes a measurement method for the lumped-element equivalent parameters of QCM resonators without the need for extra external devices. Accordingly, a numerical method for solving nonlinear equations with fewer data points required and a higher accuracy was adopted. A standard crystal resonator parameter extraction experiment is described. The extracted parameters were consistent with the nominal parameters, which confirms the accuracy of this method. Furthermore, six QCM resonator device samples with different electrode diameters and materials were produced and used in the parameter measurement experiment. The linear relationship between the electrode material conductivity and motional resistance R1 is discussed. The ability of this method to characterize the electrode material and to detect the rust status of the electrode is also demonstrated. These abilities support the potential utility of the proposed method for an electrode quality assessment of piezoelectric devices.

Circuit Parameter Range of Photovoltaic System to Correctly Use the MPP Linear Model of Photovoltaic Cell

The real-time linearization of a photovoltaic (PV) cell has been implemented well by the proposition of two maximum power point (MPP) linear models (MPP Thevenin cell model and MPP Norton cell model). However, there is no work to specially analyze the circuit parameter range (CPR) to correctly use them, which seriously impedes the development of the linear control theory involving them. To deal with this problem, in this paper, PV systems with three usual outputs are analyzed and the expressions of their CPR are proposed under ideal conditions. Meanwhile, these expressions are improved to match the practical application. They disclose the relationships between load (or bus voltage) and model parameters of the MPP Thevenin cell model (MPP-TCM) when the MPP of PV system always exists. They also reveal the constraints of load (or bus voltage) when the MPP-TCM is always available. Finally, by some simulation experiments, the accuracy of the expressions of the CPR is verified, the regular patterns of the CPR changing with weather are disclosed, and the comparison of the CPR for different PV systems are made. In this work, the relationships between MPP-TCM and circuit parameters are successfully found, disclosing the constraints among parameters when the MPP-TCM is used to implement the overall linearization of a PV system.

Nonintrusive Method for Induction Motor Equivalent Circuit Parameter Estimation using Chicken Swarm Optimization (CSO) Algorithm

This paper presents a nonintrusive method for estimating the parameters of an Induction Motor (IM) without the need for the conventional no-load and locked rotor tests. The method is based on a relatively new swarm-based algorithm called the Chicken Swarm Optimization (CSO). Two different equivalent circuits implementations have been considered for the parameter estimation scheme (one with parallel and the other with series magnetization circuit). The proposed parameter estimation method was validated experimentally on a standard 7.5 kW induction motor and the results were compared to those obtained using the IEEE Std. 112 reduced voltage impedance test method 3. The proposed CSO optimization method gave accurate estimates of the IM equivalent circuit parameters with maximum absolute errors of 5.4618% and 0.9285% for the parallel and series equivalent circuits representations respectively when compared to the IEEE Std. 112 results. However, standard deviation results in terms of the magnetization branch parameters, suggest that the series equivalent circuit model gives more repeatable results when compared to the parallel equivalent circuit. Keywords: Induction motor, Chicken Swarm Optimization, parameter estimation, equivalent circuit, objective function