Table 3 - uploaded by Meng-Hui Wang
Content may be subject to copyright.
Source publication
In order to shorten the maintenance time and make sure of the photovoltaic (PV) power generation system steadily in operation, a fault diagnosis system for photovoltaic power generation system was proposed in this paper. First, a PSIM software is used to simulate a 2.2 kW PV system, it can take the operating date of the PV system under different su...
Context in source publication
Context 1
... capture output voltage and current are through ZigBee wireless network to the monitor system. In order to know accurately which photovoltaic module is broken and the fault area of the module, we divide the fault category of the module into 17 categories, as shown in Table 3. 14 The first module and second module occur under covered failure ...
Similar publications
Fault-tolerance capability is one of the most attractive characteristics of multiphase machines for industrial applications. Resent research has proven that post-fault ripple-free operation is possible as long as the reference currents generate a smoothly rotating magnetomotive force (MMF). However, the power converter and multiphase machine behavi...
Citations
... At Standard Test Conditions (STC), when PV temperature increases by 1 0 C, the conversion efficiency decreases by 0.4 -0.5% [4], this value is the Temperature Coefficient of PV. The characteristic curve of PV in different temperatures is shown in Fig. 2 (a) I-V; (b) P-V [5] Experimentally, each PV module type has a different temperature coefficient. The temperature coefficient at Pmax of m-Si, p-Si, CIGS, CIS, CdTe PV technology is -0.44, -0.45, -0.38, -0.39, -0.25 (%/ 0 C), respectively [6]. ...
... The efficiency and accuracy of this method are phenomenal. [37], [39], [40] ...
Over the past decade, the significance of solar photovoltaic (PV) system has played a major role due to the rapid growth in the solar PV industry. Reliability, efficiency and safety of solar. PV system can be enhanced by continuous monitoring of the system and detecting the faults if any as early as possible. Reduced real time power generation and reduced life span of the solar PV system are the results if the fault in solar PV system is found undetected. Therefore, it is mandatory to identify and locate the type of fault occurring in a solar PV system. The faults occurring in the solar PV system are classified as: physical, environmental, and electrical faults which are further classified into different types as described in this paper. Once a fault is located and detected, an appropriate diagnosis method needs to be used to rectify it. In this paper, a comprehensive review of diverse fault diagnosis techniques reported in various literature is listed and described. This paper helps the researchers to get an awareness of the various faults occurring in a solar PV system and enables them to choose a suitable diagnosis technique based on its performance metrics to rectify the fault occurring in solar PV systems.
... We have performed the simulation for three models in the MULTISIM environment. Using the general current-voltage characteristic formulas [8][9][10][11], we calculate the short circuit current (ISC), open circuit voltage (VOC), photovoltaic current (IPH) and dark saturation current (IO) for all the three models. Inputting the obtained values into the MULTISIM environment, we implemented a simulation of the three presented schemes. ...
... To make sure that the results are not due to a specific solar panel, we performed the same steps for another panel (BP 4180T). In particular, using formulas from [8][9][10][11] we calculated the necessary parameters for modelling, then we modelled the presented three schemes and compared it with the 25 0 C temperature curve already given in the BP 4180T panel datasheet, the simulation results are given in Fig. 7, 8. ...
... Accepted for publication on 10 Արևային վահանակների թեստավորման համալիր համակարգի մշակման ժամանակ շատ կարևոր է արևային վահանակի մոդելի ճիշտ ընտրությունը։ Ներկայումս կան արևային վահանակների մոդելների շատ տարբերակներ, սակայն ոչ բոլորն են տալիս ճշգրիտ արդյունքներ, արտացոլում արևային վահանակի աշխատանքը՝ ինչպիսին որ կա։ Դիտարկվում են արևային վահանակների տարբեր մոդելներ։ Դրանցից թերևս ամենահայտնիներն են մեկ դիոդով, մեկ դիոդ և մեկ ռեզիստորով, մեկ դիոդ և երկու ռեզիստորով սխեմաները։ Այս աշխատանքում իրականացվել է նշված սխեմաների հետազոտություն և վերլուծություն։ Իրականացվել են մոդելավորումներ բոլոր նշված սխեմաների համար։ Համեմատական վերլուծության համար ընտրվել է ստանդարտ փորձարկման պայմանին (STC) համատատասխան ջերմաստիճանը՝ 25 օ C, բոլոր մոդելների համար և համեմատությունն իրականացվել է BP-MSX120 և BP 4180T արևային վահանակի ...
The right choice of a solar panel model is essential while developing a software for a solar panel complex testing system. Currently, there are many versions of solar panel mod-els, but not all of them give accurate results and reflect the performance of the solar panel. Different models of solar panels are considered. Perhaps the most famous of them are the circuits with single diode, with one diode - one resistor, and with one diode - two resistors. In this work, research and analysis of the mentioned schemes are carried out. Simu-lations have been carried out for all the mentioned schemes. For the comparative analysis, the standard test condition (STC) - 250C temperature was chosen for all models and the comparison was made with the results presented for the corresponding temperature in the BP-MSX120 and BP 4180T solar panel datasheets. Of the 11 parameters that exist in solar panels, perhaps the most important are three parameters, short circuit current (Isc), open circuit voltage (Voc), maximum power point (MPP). Thus, we performed modeling for the three selected schemes (one-diode, one-diode and one resistor, one-diode and two resistor models), calculated the specified param-eters, obtained the curves and performed a comparative analysis taking into account all the three parameters. According to the principle of compromise, considering the most im-portant parameter, MPP. We compared those parameters, and considered the model whose MPP is closer to the real results to be the best.
... Indeed, in addition to being directly dependent on the irradiance, the production of a photovoltaic system also depends on ambient temperature and wind speed and direction. According to the type of PV cell used, the cell temperature (which depends on the incident irradiance, air temperature and wind) modifies the voltage and current intensity that the cell produces when absorbing the energy from the sun's rays [WAN12]. In most cases, an increase in cell temperature results in a decrease in voltage, an increase in current to a lesser extent and consequently to a decrease in power output. ...
... In most cases, the link between ambient temperature and the maximum output power of the module is mentioned in the datasheet using the PV cell temperature coefficient (linked to the power), generally in [%/°C] 2 . In addition to influencing the output power of the module, the ambient temperature also affects the voltage of the PV module in an almost linear way [GYS20] [WAN12]. Indirectly, the ambient temperature, therefore, affects the performance of the inverter (by changing the DC voltage and power). ...
L’Université Libre de Bruxelles (ULB) is composed of various university campuses where energy consumption is significant. In order to be more and more autonomous in terms of energy consumption and to reduce its carbon footprint, ULB has invested in solar photovoltaic. In 2018, ULB installed 1690 kWp of solar panels and thirty solar inverters on its three different campuses. From that moment, continuous monitoring of the photovoltaic (PV) installations is carried out. Recently, ULB has noticed that some of its inverters experiencing high operating temperatures. ULB intends to undertake appropriate actions in case these high inverter temperatures have an impact on the production of these installations.
In this regard, the objective of this master thesis is to study the PV installations of ULB and investigate whether the operating temperature of the solar inverters has an impact on their performance.
In order to investigate the effect of the temperature of the inverter on its performance, a performance
indicator is calculated, the performance ratio (PR). The PR is used in this work because it is a very powerful tool to describe the correct operation of photovoltaic systems. It has many advantages, it is relatively simple to compute and it allows the comparison between different installations. To obtain the PR, a transposition model is applied to the daily horizontal irradiation and the powers at five-minute granularity are aggregated. Once the PR is obtained, a correction is made to account for losses in the photovoltaic cells due to the temperature. This results in an improved PR, the PRSTC. The next step of the methodology is the creation of a fault detection tool based on the PR and PRSTC. Using the mean absolute deviation, the standard deviation is estimated and a confidence interval around the PR and PRSTC is created. The last step of the methodology is the
analysis of the PR and PRSTC with the inverter temperature in summer, the season characterised by the highest inverter temperatures recorded.
The results of the performance ratios analysis show that the solar inverters characterised by the highest temperature have also a relatively high PR and PRSTC compared to other ULB solar inverters. The inverters that record the highest temperature are also those with the highest installed peak power and annual production. The analysis of the performance ratios also indicates that the PRSTC remains relatively constant as the inverter temperature rises except for the SolarEdge SE25K. The latter, which is the only solar inverter of ULB with forced cooling, has its PRSTC slightly reduced when the temperature rises significantly. Lastly, the application of the fault detection method to the daily PR and PRSTC shows that the solar inverters with the highest temperatures do not present significant faulty operations. Moreover, most inverter malfunctions are detected in winter when the inverter temperature is at its minimum.
Finally, this master thesis concludes that the temperature of the solar inverter has no significant effect on its performance. The high temperatures of the solar inverters are the consequence of the high power load of these inverters rather than the cause of a malfunction of the latter.
... Various statistical features could be applied in the identification of DC arc faults, including entropy, RMS value, standard deviation, mean, and the highest value of the input signal. Basing on time-domain analysis, this approach is present in [60][61][62][63][64][65][66][67][68]. Although the rate of changes in the loop current in the time domain was suggested in [63] to indicate the arc fault event, it would receive the impact of random spike disturbance. ...
... Although the rate of changes in the loop current in the time domain was suggested in [63] to indicate the arc fault event, it would receive the impact of random spike disturbance. It is shown in [61] and [64] that the contrast between the highest and lowest value of current within a certain duration is identified as an indicator. Despite the simplicity of the approach, it is relatively efficacious in identifying arc fault, particularly in the initial phase. ...
The power generation of solar photovoltaic (PV) technology is being implemented in every nation worldwide due to its environmentally clean characteristics. Therefore, PV technology is significantly growing in the present applications and usage of PV power systems. Despite the strength of the PV arrays in power systems, the arrays remain susceptible to certain faults. An effective supply requires economic returns, the security of the equipment and humans, precise fault identification, diagnosis, and interruption tools. Meanwhile, the faults in unidentified arc lead to serious fire hazards to commercial, residential, and utility-scale PV systems. To ensure secure and dependable distribution of electricity, the detection of such hazards is crucial in the early phases of the distribution. In this paper, a detailed review of modern approaches for the identification of DC arc faults in PV is presented. In addition, a thorough comparison is performed between various DC arc-fault models, characteristics, and approaches used for the identification of the faults.
... In general, PV system defects cause energy losses [27], [28]. This study developed an energy prediction system that predicts the energy generated by the PV generator to detect and eliminate faults. ...
This article proposes an adaptive neuro-fuzzy system (ANFIS)-based method to detect, identify, and eliminate defects/faults in a photovoltaic (PV) system. The control is conducted using two tests. The first test measures the difference between the power estimated by the ANFIS and the real power of the generator. This test detects defects and isolates the affected branch using controlled switching devices to prevent shutting down the entire power supply by disconnecting the inverter. The second test measures the consistency between the real current and voltage of the generator and the short-circuit current and open-circuit voltage estimated by the ANFIS, to identify open-circuit and short-circuit conditions. Each system has its own dedicated irradiation and ambient temperature sensors whose positions differ to avoid the influence of faults overlap. The method was studied through simulation using MATLAB Simulink and experimentally validated via panels of different power ratings and technological makeup that are more than five years old, utilizing a DS1104 dSPACE controller board. The technique overcomes the limitations of existing methods that are based on comparisons between the estimated and measured variables as the discrepancy between real and simulated behavior; system change because of environment, topology, or age; and the need for frequent intelligent system updates as it does not rely on real data for learning. Additionally, this method includes an aging analysis, and it can be used to control most typical PV installations via a gain factor—the ratio of the new value to the learn value.
... The faults of PV modules are varied, unpredictable and heavily influenced by external factors, and thus difficult to be diagnosed [9][10][11][12]. Fortunately, the neural network (NN) can characterize the relations between the states and causes of PV faults with structures, connection weights and thresholds [13]. ...
... Based on a matter-element model and extension correlation function, an extension diagnosis method of steam turbine vibration was established by Wang [18], which was applied to the vibration fault diagnosis of an automobile generator set. Wang and Chen [19] applied the extension theory to a fault diagnosis system of a photovoltaic power system, a two-phase diagnosis system based on this theory was put forward. In addition, the extension theory and multiple optimization fusion theory was applied to diagnose transformer fault types by Shao [20]. ...
... Using (19), calculate the extension distance between the test sample and each cluster. ...
Owing to the complex fault information features in the operation of complex large-scale electromechanical systems, the existing semi-artificial state detection method is unable to obtain fast, accurate, or reliable diagnosis results, which causes significant loss to engineering construction projects. To solve this problem, a fault diagnosis method for a shield machine system based on an extension neural network is proposed. Using a matter-element model to describe the fault characteristic information, the upper and lower bounds of the classical domain of the characteristic index are used as the double weights of the neural network. Then, a fault diagnosis is made using the extension distance as the measuring tool, the algorithm structure and flow are constructed, the steps of the algorithm are given, and the effectiveness of the method is verified using tunnel boring machine as an example. The simulation results show that this method simplifies the network structure, improves the convergence speed, and obtains consistent diagnostic results. This research can provide a new method and idea for solving the problems of time, and manpower consumption, as well as the cost, of a fault diagnosis of a semi-automatic shield machine system.
... PV generator (PVG) is commonly in front of many defects, because of its direct outdoor exposition, which could relatively affect its reliability and cause a power losses, or PV cells damaging which makes an uncomfortable PV module substitution notably for the big PV installation buildings. Fault diagnosis procedure is useful to reduce the anomalies effect or at least ensure the prevision of cell cracking.The recent years, several fault diagnosis techniques were proposed in the literature with different approaches [4][5][6][7][8][9]. Power losses evaluation without using sophistical tools approach is the well utilized, either by using traditional or analytical procedure investigation [4][5][6], or based on modern intelligent techniques [7][8][9]. ...
... Fault diagnosis procedure is useful to reduce the anomalies effect or at least ensure the prevision of cell cracking.The recent years, several fault diagnosis techniques were proposed in the literature with different approaches [4][5][6][7][8][9]. Power losses evaluation without using sophistical tools approach is the well utilized, either by using traditional or analytical procedure investigation [4][5][6], or based on modern intelligent techniques [7][8][9]. ...
BIPV systems are usually small-medium PV systems spread out over the territory, and whose technical and installation characteristics can be very different. This makes difficult a cost-effective procedure for monitoring and diagnostics. As a consequence, many problems affecting BIPV systems go undetected. In order to carry out an effective automatic fault detection procedures, we need a software tool that is reliable, cost effective and that can be applied on many PV systems. To reduce the probability of happening of such events, a fault diagnosis is an important tool at least to detect and prevent the critical defects. The well-known equivalent circuit one diode model will be used to develop a PV emulator by means of a new metaheuristical technique called ABC-DE either at normal or abnormal operating conditions to remove the damaging cells scenario at the investigation moment under artificial defects creation. After the emulator experimental validation a fault diagnosis technique is introduced to detect and to identify certain defects based on the power losses and the parameters extracted from ABC-DE technique selected on a reference table.
... On the other hand, the accuracy of failure judgment is increased by grouping some of PV modules by using a new voltage and current detection method [5]. In [16], a two stage fault diagnosis method based on the extension theory is proposed [16]. In another study [17], Bayesian network is built to intelligently reason about potential causes of faults. ...
... On the other hand, the accuracy of failure judgment is increased by grouping some of PV modules by using a new voltage and current detection method [5]. In [16], a two stage fault diagnosis method based on the extension theory is proposed [16]. In another study [17], Bayesian network is built to intelligently reason about potential causes of faults. ...
... Experiment results (N.U: non-uniform, NF: no-fault, SC: short circuit, and OC: open circuit).16.7% for Case-3.2 ...
