Fuzzy Based Reconfiguration Method Using Intelligent Partial Shadow Detection in PV Arrays*

Karaköse, Mehmet; Bayğın, Mehmet; Murat, Kagan; Baygin, Nursena; Akın, Erhan

doi:10.1080/18756891.2016.1150004

Cited by 46 publications

(24 citation statements)

References 20 publications

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“…The degree of curves on railway lines affects train speed. Early diagnosis of the failures on curves is highly important for safety of railway line [22][23][24] . A block diagram of the proposed method is given in Figure 12.…”

Section: B Rail Line Monitoring Stagementioning

confidence: 99%

A New Approach for Condition Monitoring and Detection of Rail Components and Rail Track in Railway*

Karaköse¹,

Yamanand²,

Murat³

et al. 2018

IJCIS

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Computer vision-based tracking and fault detection methods are increasingly growing method for use on railway systems. These methods make detection of components of the railways and fault detection and condition monitoring process can be performed using data obtained by means of computers. In this study, methods are proposed for fault detection on railway components and condition monitoring. With cameras placed on the bottom and the top of the experimental vehicle the images are taken. The camera at the top, overhead rails are positioned to see a way for war and the camera is fixed to the bottom mounted to see clearly railway components. Images from cameras placed on the bottom, Canny edge extraction and Hough transform methods are applied. The types of the components and faults are determined by using classification algorithm with decision trees using the obtained data. The condition monitoring has done by the camera is positioned on the upper part of the vehicle. By processing the taken images with processing methods, inclination angle of the rails and direction of railways are detected. Thus, during the course of the vehicle is obtained information of the direction of railway. Real images are used in the operation of railways belonging to the experimental environment. On these images, to identify the components of the proposed method using the railways and rail direction determination is made. The results obtained are given at the end of the study. The experimental results are analyzed, it is observed that the proposed method accurate and effective results.

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Section: B Rail Line Monitoring Stagementioning

confidence: 99%

A New Approach for Condition Monitoring and Detection of Rail Components and Rail Track in Railway*

Karaköse¹,

Yamanand²,

Murat³

et al. 2018

IJCIS

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition to sky images, to forecast the solar irradiance using the movement of the cloud shadows, (a) the direction Therefore, the zenith and azimuth angles of the sun and the clear day irradiance profile were calculated based on the information in [19]. For the calculation, the details of time, date, longitude, and latitude of the PV system locations were required.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, short-term forecasting will be beneficial to overcome the partial shading condition that occurred due to passing clouds, which is another major problem in PV systems [18]. In partial shading conditions, reconfigurations of shaded and nonshaded modules in PV arrays enhance the power output by distributing the shading effects evenly [19] without changing the physical location. The shortterm cloud shadow forecasts at the location of the PV plant are used as a control signal to the array reconfiguration process to minimize the effect due to the partial shading especially on large-scale PV plants.…”

Section: Introductionmentioning

confidence: 99%

Sky Image-Based Localized, Short-Term Solar Irradiance Forecasting for Multiple PV Sites via Cloud Motion Tracking

Dissawa

Godaliyadda

Ekanayake

et al. 2021

International Journal of Photoenergy

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Power generation through solar photovoltaics has shown significant growth in recent years. However, high penetration of solar PV creates power system operational issues as a result of solar PV variability and uncertainty. Short-term PV variability mainly occurs due to the intermittency of cloud cover. Therefore, to mitigate the effects of PV variability, a sky-image-based, localized, global horizontal irradiance forecasting model was introduced considering the individual cloud motion, cloud thicknesses, and the elevations of clouds above the ground level. The proposed forecasting model works independently of any historical irradiance measurements. Two inexpensive sky camera systems were developed and placed in two different locations to obtain sky images for cloud tracking and cloud-based heights. Then, irradiance values for onsite and for a PV site located with a distance of 2 km from the main camera were forecasted for 1 minute, 5 minutes, and 15 minutes ahead of real-time. Results show that the three-level cloud categorization and the individual cloud movement tracking method introduced in this paper increase the forecasting accuracy. For partially cloudy and sunny days, the forecasting model for 15 min forecasting time interval achieved a positive skill factor concerning the persistent model. The accuracy of determining the correct irradiance state for a 1 min forecasting time interval using the proposed model is 81%. The average measures of RMSE, MAE, and SF obtained using the proposed method for 15 min forecasting time horizon are 101 Wm-2, 64 Wm-2, and 0.26, respectively. These forecasting accuracy levels are much higher than the other benchmarks considered in this paper.

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“…In Ref. 24, the authors applied the fuzzy logic controller, to specify the optimal switching configuration to disperse the shade over the PV array thus mitigating the negative effects of the shadow. Similarly, in Ref.…”

Section: Introductionmentioning

confidence: 99%

Optimal dynamic reconfiguration of large‐scale PV plant under partial shading conditions based on two reconfigurable stages

Ajmal

Ramachandaramurthy

Tomar

et al. 2021

Int Trans Electr Energ Syst

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Varying solar radiation on photovoltaic (PV) panels reduces the PV system's output and increases the mismatch losses. Several techniques have been proposed to solve the mismatch problem, for example, the reconfiguration technique of PV panels.Most of the reconfiguration techniques have been proposed for small systems because of the difficulty in applying to large systems as a large number of switches are required for such applications. In this paper, a new technique based on total-cross-tied (TCT) in two reconfigurable stages is proposed. In the first stage, the shading over the PV plant is dispersed by switching between arrays. In the second stage, the shade dispersion from the first stage is increased by optimizing between the columns. The number of switches and sensors were reduced by using genetic algorithm, thus reducing the system cost. To demonstrate the proposed new reconfiguration technique, four shaded cases were simulated and tested using MATLAB/SIMULINK. A comprehensive analysis of power-voltage (P-V) curves and row currents calculation was performed, for TCT configuration and the proposed new reconfiguration technique. Also, a comparative study on performance analysis, energy-saving, and income generation was carried out for each shading case. The comparative study of the four cases shows that the reconfiguration techniques proposed in two stages generate more power under partial shading conditions than TCT. Further research is needed to ensure the practicality of the switches needed to realize this technique.

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Fuzzy Based Reconfiguration Method Using Intelligent Partial Shadow Detection in PV Arrays*

Cited by 46 publications

References 20 publications

A New Approach for Condition Monitoring and Detection of Rail Components and Rail Track in Railway*

A New Approach for Condition Monitoring and Detection of Rail Components and Rail Track in Railway*

Sky Image-Based Localized, Short-Term Solar Irradiance Forecasting for Multiple PV Sites via Cloud Motion Tracking

Optimal dynamic reconfiguration of large‐scale PV plant under partial shading conditions based on two reconfigurable stages

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