scholarly journals Optimization of Capacities of Wind and Solar Power Plants in the Interstate Power Grid in North-East Asia Taking Into Account the Intermittence of Their Power Output

2020 ◽  
Vol 209 ◽  
pp. 04005
Author(s):  
Leonid N. Trofimov ◽  
Ivan L. Trofimov
Keyword(s):  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Power Grid ◽  
Northeast Asia ◽  
Operating Modes ◽  
North East ◽  
Solar Power Plants ◽  
Series Of Experiments ◽  
Fossil Fuel Power Plants

The paper considers the problems of optimization of wind and solar power plants (WPP and SPP) expansion and it operating modes in the prospective interstate power grid (ISPG) in Northeast Asia, taking into account the intermittence of their power output. A series of experiments with variations in the profiles of WPP and SPP in the model nodes were carried out. Also authors carried out some additional experiments with the increase in fuel costs for fossil fuel power plants due to environmental restrictions. As a result, an assessment of the character of the changes in the solution of the model for new installed capacities and their costs, depending on the variations for the profiles of the contributions generation of WPP and SPP to cover daily electrical load graphs, is obtained.

scholarly journals North-east Asia interstate power grid expansion in the conditions of possible economic recession in China

2020 ◽  
Vol 216 ◽  
pp. 01007
Author(s):  
Leonid N. Trofimov ◽  
Ivan L. Trofimov ◽  
Sergei V. Podkovalnikov
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Power Grid ◽  
Renewable Energy Sources ◽  
Northeast Asia ◽  
Economic Recession ◽  
Energy Sources ◽  
North East ◽  
Generation Capacity ◽  
Solar Power Plants

The article considers scenarios of the prospective interstate power grid (ISPG) expansion in Northeast Asia with possible economic recession in China because of COVID-19 and other factors. Features of optimization of new capacities addition of renewable energy sources in the ISPG are considered. A series of computational experiments with variations in the profiles of wind and solar power plants were carried out. The assessment of impact the intermittence of renewable energy power output on the structure of ISPG was evaluated, with taking into account of possible economic recession in China. A comparative analysis of solutions to the problem of optimization of intermittent generation capacity inputs for scenarios with the formation of an energy connection in northeast Asia and its absence is carried out.

scholarly journals Predicting the Performance of Solar Power Generation Using Deep Learning Methods

2021 ◽  
Vol 11 (15) ◽  
pp. 6887
Author(s):  
Chung-Hong Lee ◽  
Hsin-Chang Yang ◽  
Guan-Bo Ye
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Photovoltaic Cell ◽  
Power Prediction ◽  
Seasonal Characteristics ◽  
Variable Nature ◽  
Solar Power Plants

In recent years, many countries have provided promotion policies related to renewable energy in order to take advantage of the environmental factors of sufficient sunlight. However, the application of solar energy in the power grid also has disadvantages. The most obvious is the variability of power output, which will put pressure on the system. As more grid reserves are needed to compensate for fluctuations in power output, the variable nature of solar power may hinder further deployment. Besides, one of the main issues surrounding solar energy is the variability and unpredictability of sunlight. If it is cloudy or covered by clouds during the day, the photovoltaic cell cannot produce satisfactory electricity. How to collect relevant factors (variables) and data to make predictions so that the solar system can increase the power generation of solar power plants is an important topic that every solar supplier is constantly thinking about. The view is taken, therefore, in this work, we utilized the historical monitoring data collected by the ground-connected solar power plants to predict the power generation, using daily characteristics (24 h) to replace the usual seasonal characteristics (365 days) as the experimental basis. Further, we implemented daily numerical prediction of the whole-point power generation. The preliminary experimental evaluations demonstrate that our developed method is sensible, allowing for exploring the performance of solar power prediction.

Comparison and Optimization of Heliostat Canting Methods

2007 ◽  
Author(s):  
R. Buck ◽  
E. Teufel
Keyword(s):  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Power Level ◽  
Major Influence ◽  
Optical Efficiency ◽  
Tracking Method ◽  
Clear Advantage ◽  
Solar Power Plants ◽  
Plant Power

Heliostat canting (alignment of mirror facets) is known to have a major influence on the optical efficiency of heliostat fields and therefore on the power output of solar tower plants. In recent years several canting concepts were used, mainly on- and off-axis canting. Several new canting concepts, like stretched-parabolic or target aligned canting, were proposed in order to improve the performance of heliostats. As solar power plants become economically more attractive, knowledge about the influence of canting becomes more important. In this context, the influence of several factors on the canting method is discussed and optimal canting strategies are described. The considered factors comprise plant power level, heliostat position in the field, heliostat area, receiver dimension and site latitude. It is concluded that the target aligned tracking method is superior to all other variants in the majority of cases. As for the standard azimuth-elevation tracking methods, no one of these exhibits a clear advantage. It is only the on-axis method that performs worst in all cases.

scholarly journals Reducing the Cost of Energy From Parabolic Trough Solar Power Plants

Solar Energy ◽  
2003 ◽  
Author(s):  
Henry Price ◽  
David Kearney
Keyword(s):  
Mojave Desert ◽  
Power Plants ◽  
Large Scale ◽  
Solar Power ◽  
Parabolic Trough ◽  
Cost Of Energy ◽  
Solar Power Plants ◽  
The Cost ◽  
The Impact ◽  
Fossil Fuel Power Plants

Parabolic trough solar technology is the most proven and lowest cost large-scale solar power technology available today, primarily because of the nine large commercial-scale solar power plants that are operating in the California Mojave Desert. However, no new plants have been built during the past ten years because the cost of power from these plants is more expensive than power from conventional fossil fuel power plants. This paper reviews the current cost of energy and the potential for reducing the cost of energy from parabolic trough solar power plant technology based on the latest technological advancements and projected improvements from industry and sponsored R&D. The paper also looks at the impact of project financing and incentives on the cost of energy.

scholarly journals Analisis Performansi PLTS Off-Grid 600 Wp menggunakan Data Akuisisi berbasis Internet of Things

2021 ◽  
Vol 9 (4) ◽  
pp. 761
Author(s):  
ARNISA STEFANIE ◽  
FARRADINA CHORIA SUCI
Keyword(s):  
Internet Of Things ◽  
Output Power ◽  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Data Communication ◽  
Communication Line ◽  
Photovoltaic Power ◽  
Solar Power Plants ◽  
Internet Of Things Technology

ABSTRAKPLTS pada penelitian ini didesain dengan sistem Off-Grid dengan kapasitas 600 Wp yang terhubung dengan MPPT 50 A, DC 150V dan energi output disimpan pada baterai VRLA 100 Ah. Pemanfaatan teknologi Internet of Things dengan komunikasi data menggunakan jalur komunikasi serial dengan modul ESP 8266. Pengujian dilakukan dengan memasang PLTS dengan kemiringan 300 pada koordinat wilayah -06°33’25’’, 107°12’39’’. Analisis data dilakukan untuk membaca performa daya output dan membandingkan dengan data total photovoltaic power output (Wh) yang dirilis Global Solar Atlas. Sampel data diambil pada bulan September 2020, 06.00-18.00 WIB, yang menunjukkan bahwa rentang waktu kerja efektif PLTS adalah 07.00-08.00 WIB dengan daya output ±140 watt, dimana mendekati nilai total photovoltaic power output adalah 143 Wh.Kata kunci: PLTS, Off-Grid, Internet of Things, power output ABSTRACTThis Solar Power Plant is designed with an Off-Grid system with a capacity of 600 Wp connected to MPPT 50 A, DC 150V, and the output energy stored in a VRLA 100 Ah battery. Utilization of Internet of Things technology with data communication by serial communication line using the ESP 8266 module. Testing was carried out by installing Solar Power Plants with a slope of 300 at the coordinates of the area -06 ° 33'25 '', 107 ° 12'39 ''. Data analysis was carried out to read the output power performance and compare it with the Total photovoltaic power output (Wh) data released by Global Solar Atlas. Data samples were taken in September 2020 at 06.00-18.00 WIB, which shows the effective working time gap of PLTS at 07.00-08.00 WIB with an output power of ± 140 watts is close to the total photovoltaic power output value of 143 Wh.Keywords: Solar Power Plants, Off-Grid, Internet of Things, power output

Comparison and Optimization of Heliostat Canting Methods

2009 ◽  
Vol 131 (1) ◽  
Author(s):  
R. Buck ◽  
E. Teufel
Keyword(s):  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Power Level ◽  
Major Influence ◽  
Optical Efficiency ◽  
Tracking Method ◽  
Clear Advantage ◽  
Solar Power Plants ◽  
Plant Power

Heliostat canting (alignment of mirror facets) is known to have a major influence on the optical efficiency of heliostat fields and therefore on the power output of solar tower plants. In recent years several canting concepts were used, mainly on- and off-axis canting. Several new canting concepts, such as stretched-parabolic or target-aligned canting, were proposed in order to improve the performance of heliostats. As solar power plants become economically more attractive, knowledge about the influence of canting becomes more important. In this context, the influence of several factors on the canting method is discussed and optimal canting strategies are described. The considered factors comprise plant power level, heliostat position in the field, heliostat area, receiver dimension, and site latitude. It is concluded that the target-aligned tracking method is superior to all other variants in the majority of cases. As for the standard azimuth-elevation tracking methods, not one of these exhibits a clear advantage. It is only the on-axis method that performs worst in all cases.

scholarly journals The assessment of integration effects accounting the stochasticity of wind and solar power plants generation in the Asian Power Grid

2019 ◽  
Vol 139 ◽  
pp. 01068 ◽  
Author(s):  
Leonid Trofimov ◽  
Ivan Trofimov
Keyword(s):  
Power Systems ◽  
Electricity Generation ◽  
Power Plants ◽  
Solar Power ◽  
Power Grid ◽  
Electric Load ◽  
Stochastic Generation ◽  
Solar Power Plants ◽  
The Stability ◽  
Total Integration

Electricity generation by wind and solar power plants (WPP and SPP) is characterized by the uncertainty of the time and generation volumes, and does not correlate with the demand determined by the graph of daily electric load. By using of the ORIRES optimization model, the integration effects associated with various scenarios of interstate power grid expansion are calculated. The stochastic generation of WPP and SPP creates a certain variation in the model solutions, but does not affect to the total integration effects. The article presents the calculations carried out on a large number of variations for wind and solar power generation. The stability (constancy) of total integration effects is shown, despite the stochastic generation of WPP and SPP in the considered energy power systems.

scholarly journals Solar power plants site selection for sustainable ecological development in Nigde, Turkey

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Orhun Soydan
Keyword(s):  
Solar Energy ◽  
Nuclear Power ◽  
Power Plants ◽  
Solar Power ◽  
Sunshine Duration ◽  
Slope Aspect ◽  
Residential Areas ◽  
North East ◽  
Energy Needs ◽  
Solar Power Plants

AbstractTurkey's population is constantly increasing, and thus, the energy consumption is also increasing. Wind turbines, nuclear power plants, and boron and uranium resources are used for energy needs. Turkey meets its energy needs using these resources. Sun which is a natural and unlimited resource among these resources is one of the most important natural energy resources. The most important issue to consider in order to utilize solar energy in the most efficient way and to obtain advantages is the selection of the suitable place for solar plants. The aim of this study is to select the most suitable location for solar energy plants and provide to build solar power plants in suitable places. Eleven data layers (sunshine duration, solar radiation, slope, aspect, road, water sources, residential areas, earthquake fault line, mine areas, power line and transformers) that were prepared using analytical hierarchy process (AHP) method in GIS were used and analysed. Based on the results of the analysis, the location of the areas where solar energy could be built was selected. As a result of the study, it was determined that in particular the north-east of the Nigde is the most suitable for solar plants. Ulukisla district has the most suitable feature for solar plants among the Nigde districts. 80% of the existing solar plants are located in the detected areas. It has been determined that the other 20% of the solar plant is also in the suitable areas, but their location is not suitable for the most efficiency.

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