A Classification and Synthesis Method for Load Characteristics of Typical Industry Based on Daily Electricity Consumption Curves

Author(s):  
Junying Song ◽  
Zhenyu Mao ◽  
Xinran Li ◽  
Taowen Liu ◽  
Wei Zhong ◽  
...  

2019 ◽  
Vol 118 ◽  
pp. 01035
Author(s):  
Ming Wen ◽  
Yong Chen ◽  
Fenkai Chen ◽  
Lili An ◽  
Bo Chen ◽  
...  

The analysis of load characteristics of large industrial users is the basis for understanding the way of using electricity and analyzing its electricity consumption behavior. The power load of 13 typical large industrial users in Hunan Province was selected, and based on K-means clustering method and distance equalization function, the optimal number of clusters for large industrial users was determined, and the user classification was finally realized to analyze the load characteristics of each type of users. The results show that the load characteristics of each type of users have a certain degree of difference, and the trend of power consumption trends is different, but the daily average load curve fluctuations of each type of users are basically the same, which are consistent with the law of electricity consumption.



2014 ◽  
Vol 700 ◽  
pp. 71-77 ◽  
Author(s):  
Li Ping Qiu ◽  
Yong Lin ◽  
Xiao Ming Jin ◽  
Yang Fan ◽  
Kun Men ◽  
...  

This paper presents the selection methods of typical substations based on grey correlation analysis method, and proposes classification principles of load characteristics. The actual example shows that using this method in process of statistical synthesis method modelling, the typical substations selected could be more representative, and the popularization and application of the modelling results are more accurate and effective.



Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 319
Author(s):  
Shiwen Liao ◽  
Lu Wei ◽  
Wencong Su

Load characteristics play an essential role in the planning of power generation and distribution. Various undiscovered factors, which could be socioeconomic, geographic, or climatic, make it possible to describe the electricity demand by a multimodal distribution. This letter proposes a novel method based on multimodal distributions to characterize the hidden factors in electricity consumption. Consequently, a new approach is developed to evaluate the impact of the underlying factors of electricity consumption. Some quantifiable and predictable factors are analyzed in developing multimodal distribution to describe the expected demand. Simulations based on synthetic and real-world data have been conducted to demonstrate the usefulness and robustness of the proposed method.



2014 ◽  
Author(s):  
Ping Dong ◽  
Xun (Irene) Huang ◽  
Chen-Bo Zhong


2019 ◽  
Vol 2 (3) ◽  
pp. 141-151
Author(s):  
O. E. Gnezdova ◽  
E. S. Chugunkova

Introduction: greenhouses need microclimate control systems to grow agricultural crops. The method of carbon dioxide injection, which is currently used by agricultural companies, causes particular problems. Co-generation power plants may boost the greenhouse efficiency, as they are capable of producing electric energy, heat and cold, as well as carbon dioxide designated for greenhouse plants.Methods: the co-authors provide their estimates of the future gas/electricity rates growth in the short term; they have made a breakdown of the costs of greenhouse products, and they have also compiled the diagrams describing electricity consumption in case of traditional and non-traditional patterns of power supply; they also provide a power distribution pattern typical for greenhouse businesses, as well as the structure and the principle of operation of a co-generation unit used by a greenhouse facility.Results and discussion: the co-authors highlight the strengths of co-generation units used by greenhouse facilities. They have also identified the biological features of carbon dioxide generation and consumption, and they have listed the consequences of using carbon dioxide to enrich vegetable crops.Conclusion: the co-authors have formulated the expediency of using co-generation power plants as part of power generation facilities that serve greenhouses.





2015 ◽  
Author(s):  
Ignas Gostautas


2009 ◽  
Vol 129 (7) ◽  
pp. 725-730 ◽  
Author(s):  
Tomohiro Fukuda ◽  
Yutaka Sasaki ◽  
Masayuki Morimoto


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