Gang WANG | Cited by 395 | of Technical University of Denmark, Kongens Lyngby (DTU) | Read 18 publications | Contact Gang WANG. solar fiber lighting and photovoltaic power generation system
Due to the implementation of the "double carbon" strategy, renewable energy has received widespread attention and rapid development. As an important part of renewable
The mathematical model with LPM is built to analyze the dynamic characteristic of the steam generation system (SGS) in solar tower power plant after the static validation.
Solar energy utilization (Zhang et al., 2013, Wang et al., 2020) and nuclear power technology (Wang et al., 2018) are both considered as the effective approaches to achieve the
Yan and Meng et al. [2, 3] established a model of wind-solar complementary power generation system, a wind-solar complementary coordinated control and grid-connected strategy is proposed, and the
This document summarizes solar power generation from solar energy. It discusses that solar energy comes from the nuclear fusion reaction in the sun. About 51% of the sun''s energy reaches Earth''s atmosphere. There
This paper proposes a model called X-LSTM-EO, which integrates explainable artificial intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably forecast solar power
The Study presents a novel MPPT method utilizing Artificial Neural Networks (ANN) to efficiently track the maximum power generated by a PV panel. The proposed ANN-based MPPT algorithm demonstrates rapid and accurate adaptation to changing meteorological conditions, including variations in temperature and solar radiation.
Ensuring that the PV system is running at the MPP raises energy conversion efficiency. The INC algorithm can readily adapt to variations in temperature and solar irradiation because of its quick reaction time. The controller's reactivity allows it to maintain system operation at the MPP even in the face of fast environmental changes.
Table 2 describes the meaning of column headings. The nominal solar generation capacity varied from 30 MW to 130 MW, and the average real output ranged from 4.2 MW to 29.8 MW. The statistics of each solar station can be seen in Table 5.
Solar power generation data are in the solar_stations folder, which includes eight Excel files. The weather condition data and real-time power generation data were recorded in these files. The power generation and PV panel information of each solar station are listed in Table 4.
Wind power generation data are in the wind_farms folder, which includes six Microsoft Excel files. The real-time power generation and weather conditions are recorded in these files. The basic information about each wind farm is listed in Table 1.
There is a platform called OpenStreetMap that is used to recreate new versions of wind and solar installation datasets 16. Solar radiation information is an indispensable parameter in analyzing solar generation. Jiang et al. presented a twelve-year (2007–2018) hourly dataset with 5-km resolution of surface and diffuse solar radiation in China 17.
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