This paper presents a model-based algorithm for fast tracking of maximum power point of a photovoltaic panel. Parameters of an equivalent circuit have been estimated based on experimental data and characteristic data provided by manufacturer. Since photoelectric current is highly temperature-dependent, the effect of temperature is considered in the model. The proposed method is based on the maximum power point locus of the solar panel. So the tracking speed is much faster than a model-free method. In the suggested technique, the voltage of maximum power point can be determined using output voltage and current of solar panel and the voltage of a point on the maximum power point locus with the same current, in three steps. The main novelty of the proposed model-based method is that there is no need to measure solar radiation. Experiment results are presented and prove the feasibility of the proposed maximum power point tracking method.
Concentration solar arrays require greater solar tracking precision than conventional photovoltaic arrays. This paper presents a high precision low cost dual axis sun tracking system based on image processing for concentration photovoltaic applications. An imaging device is designed according to the principle of pinhole imaging, making sun rays to be received on a screen through pinhole and to be a sun spot. The location of the spot is used to adjust the orientation of the solar panel. A fuzzy logic controller is developed to achieve this goal. A prototype was built, and experimental results have proven the good performance of the proposed system and low error of tracking. The operation of this system is independent of geographical location, initial calibration, and periodical regulations.
Introduction: Borderline personality disorder is a type of mental health problem, which affects the patient’s way of thinking and feeling about oneself and others and causes problems in daily functioning. Aim: This study aimed to compare the effectiveness of individual schema therapy, with and without supportive therapy, in alleviating the symptoms of patients with borderline personality disorder. Method: This empirical semi-experimental study, with a pretest-posttest control group design, was conducted on a statistical population, consisting of all patients with borderline personality disorder, referred to Quds Hospital of Sanandaj, Iran, during 2020-2021. Via convenience sampling, 45 patients were selected and divided into three groups of 15 people. Weaver and Clum’s Borderline Personality Disorder Severity Index (1993) was used for data collection. To analyze the data, multivariate analysis of variance and t-test were performed in SPSS Version 22. Results: The results showed a significant difference in the symptoms of borderline personality disorder between the two groups (P≤0.01). Also, pretest-posttest comparisons indicated that the mean score of borderline personality disorder symptoms decreased by 0.97 in the individual schema therapy group without supportive treatment and by 1.12 in the individual schema therapy group with supportive therapy. Conclusion: Since there was a significant difference between individual schema therapy, with and without supportive therapy, in alleviating the symptoms of patients with borderline personality disorder, it is recommended to implement individual schema therapy, along with supportive therapy for the treatment of this disorder.
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