Estimation and validation of daily global solar radiation by day of the year-based models for different climates in China

Zang, Haixiang; Cheng, Lilin; Ding, Tao; Cheung, Kwok W.; Wang, Miaomiao; Wei, Zhinong; Sun, Guoqiang

doi:10.1016/j.renene.2018.12.065

Cited by 59 publications

(18 citation statements)

References 68 publications

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“…Equation 16is an empirical formula [33]. (16)  is the latitude of the location,  is the solar hour angle, and  is tilt angle. Detection of the optimum value of tilt angle is studied in [34].…”

Section: Formulation Of Irradiation On the Pv Arraysmentioning

confidence: 99%

“…Therefore, it must be noted that the knowledge of irradiation and temperature plays an essential role in the output parameters investigation of PV systems. In [16], estimation and validation of daily global solar irradiation by day of the year-based models is investigated for different climates. Besides, validity and effectiveness of the ensemble technologies and hybrid methods is concluded.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of 80 kW Solar Generating Station in Kabudrahang Iran: A Comparative Study

2019

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Estimation of solar energy generation in the integrated power systems must be performed for power system the long-term planning and the short-term control. Irradiation is one of the main factors affecting the out coming energy of solar system. Hence, investigation of solar irradiation on the horizontal surface helps in proper and efficient implementation of solar energy system. Capturing much more energy from the irradiation, by the Photovoltaic (PV) cells, results in enhancement of out coming energy of PV station. This paper is going to study the impact of implementation two topologies for energy harvesting in PV stations. The topologies are as follows: (a) PV station with multilevel boost converters and inverters, (b) PV station with only multilevel inverters. Studies have been performed on 80 KW PV test station, located in Kabudrahang, Iran. The comparison between the results demonstrates much more solar energy harvesting in the case of applying multilevel converters in the output of PV arrays. Simulation results show the promising result of the proposed topology in harvesting maximum power from a PV station.

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Section: Formulation Of Irradiation On the Pv Arraysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of 80 kW Solar Generating Station in Kabudrahang Iran: A Comparative Study

2019

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“…At present, there are three kinds of techniques, which are theoretically mature: Expert system (ES), analytic model, and artificial neural network (ANN). In addition, rough set (RS) [1,2], Petri net [3][4][5], Bayesian network [6][7][8], and fuzzy set (FS) [9][10][11] have also been successfully applied in the intelligent identification and alarm of power systems. Expert system identifies through expert knowledge representation and logical reasoning mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Identification Technology of Grid Monitoring Alarm Event Based on Natural Language Processing and Deep Learning in China

et al. 2019

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Power dispatching systems currently receive massive, complicated, and irregular monitoring alarms during their operation, which prevents the controllers from making accurate judgments on the alarm events that occur within a short period of time. In view of the current situation with the low efficiency of monitoring alarm information, this paper proposes a method based on natural language processing (NLP) and a hybrid model that combines long short-term memory (LSTM) and convolutional neural network (CNN) for the identification of grid monitoring alarm events. Firstly, the characteristics of the alarm information text were analyzed and induced and then preprocessed. Then, the monitoring alarm information was vectorized based on the Word2vec model. Finally, a monitoring alarm event identification model based on a combination of LSTM and CNN was established for the characteristics of the alarm information. The feasibility and effectiveness of the method in this paper were verified by comparison with multiple identification models.

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“…Using alarm messages for grid monitoring, Supervisory Control and Data Acquisition (SCADA) systems display the operation of power grids to supervisors, and alarm messages also constitute a data basis for fault diagnosis and decision analysis [1,2]. With renewable energy and electric vehicles now connected to power grids, power data are becoming more abundant, and such data are highly valuable [3][4][5]. These data are stored in databases in the form of audio, text, and images [6].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Classification Method for Grid-Monitoring Alarm Messages Based on Information Theory

et al. 2019

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Alarm messages for grid monitoring are an important way to supervise the operation of power grids. Since the use of alarm messages is increasing exponentially due to the continuous expansion of the scale of power grids, a processing method for alarm messages based on statistics is proposed in this study. Entropy theory in information theory is introduced into the calculation of information value in power-grid alarming. By means of multiple entropy definitions, an evaluation index system for information value is constructed. Based on the analytic hierarchy process (AHP), various alarm-message entropies are used as indices to comprehensively assess the information value and level of each alarm message. Finally, an example is given to illustrate the effectiveness and practicality of the proposed method. This study provides a new idea for the intelligent classification of alarm messages.

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Estimation and validation of daily global solar radiation by day of the year-based models for different climates in China

Cited by 59 publications

References 68 publications

Estimation of 80 kW Solar Generating Station in Kabudrahang Iran: A Comparative Study

Estimation of 80 kW Solar Generating Station in Kabudrahang Iran: A Comparative Study

Identification Technology of Grid Monitoring Alarm Event Based on Natural Language Processing and Deep Learning in China

Intelligent Classification Method for Grid-Monitoring Alarm Messages Based on Information Theory

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