scholarly journals Predictive electric network load assessment using combined intelligent systems for automatic power supply management

Author(s):  
O.O. Hramm ◽  
O. I. Savytskyi ◽  
◽  
Author(s):  
Maksym Hrebenichenko

At optimization of development of electric networks of power systems voltage and a configuration of networks are chosen, the order of construction of objects of electric networks is established. The criterion of optimality in optimization is the sum of dynamic consolidated costs for all network elements. The decision must take into account the dynamics of development of power systems networks, requirements for reliability and quality of power supply, capacity constraints on power lines and transformer substations.


2011 ◽  
Vol 361-363 ◽  
pp. 479-482
Author(s):  
Wen Bin Cai ◽  
Kang Du ◽  
Xing Peng ◽  
Hua Yang Liu

The wind power generation pumping unit has environmental protection and the energy-saving function with wind power generation complementary power supply system. Based on the calculation of the pumping power consumption during the oil production, the essential wind-power generation electric quantity for pumping equipment runs stable was analyzed, wind-electricity and electric network complementary energy transmission and control circuit were designed, When the wind speed changes, by the energy transmission and control circuit related parameters and taking the historical meteorological statistics of the corresponding period as the comparison reference, the system can control wind power generation and the battery charge and discharge flexibly to ensure the equipment runs stable, which lays a firm foundation for the wide application of the off-grid wind power. The economic analysis shows that the wind-electricity and electric network complementary pumping machine has good economic efficiency and application prospect in oilfield.


Author(s):  
Jingyi Xia ◽  
Fuguo Xu ◽  
Guangwei Huang

Electric power system plays an indispensable role in modern society, which supplies the energy to residential, commercial, and industrial consumers. However, the high-impact and low-probability natural disasters (i.e., windstorm, typhoon, and flood) come more frequent because of the climate change in the recent years, which may sequentially cause devastating damages to the infrastructure of power systems. The aim of this paper is mainly to explore and review the resilience of power grid system during the disaster and the power supply management strategies to recover the power grid. Firstly, the category of natural disasters and different influences on power grid are discussed. Then, the definition of power grid resilience is explored and the supply management strategies copying with disasters are introduced, such as microgrids and distributed generation systems. Specially, the electric vehicles (EVs) equipped with large-capacity battery pack in the transportation network can also be considered as the distributed power sources with mobility. Thus, the conceptual frameworks of integrating large-scale EVs into the power grid to fasten restoration of the power systems in the pre-disaster/post-disaster are emphatically investigated in this paper. Finally, the opportunities and challenges in further research on employing EVs for emergency power supply in the extreme weather events are also discussed.


2013 ◽  
Vol 869-870 ◽  
pp. 426-431
Author(s):  
Shan Jin Yu ◽  
Hui Yu Jin ◽  
Xiao Bin Tan ◽  
Kang Qi Wang

The electricity consumption by modern data center and data servers has significantly increased in recent year and continues to have this dramatic increase trend. Meanwhile, more and more modern power grids have adopted dynamic pricing electricity supply model. When a data center or data server is equipped with temporary power storage devices such as a battery, it is feasible and important to study how to schedule power supply to reduce the overall power consumption cost. In this paper, we present a dynamic programming based scheduling strategy by considering the stochastic arrival nature of network load and characteristic of battery storage. We demonstrate the effectiveness of our approach using simulation based on real power price data and real-life network load data.


2021 ◽  
Vol 2061 (1) ◽  
pp. 012023
Author(s):  
A I Epikhin

Abstract The paper considers the implementation prospects and features of the synthesis of an intelligent automatic system for diagnosing the internal combustion engine vibration of a power supply system in terms of developing technologies for automatic or remote control of unmanned vessels. The paper addresses the issue of predicting the technical condition of a combustion engine using available diagnostic methods. The study focuses on the equipment required for monitoring and analyzing the technical condition of the engine of an unmanned vessel when operating in automatic or remotely controlled mode. An algorithm has been developed for collecting, storing and accumulating data on the condition of the engine components and units in the on-board information system of the vessel to exchange data on the condition of the engine and its components during remote monitoring and to determine fault codes. The approaches to the synthesis of an intelligent automatic system for diagnosing the combustion engine vibration are considered from a methodological point of view. Vibration diagnostics equipment used for the analysis of the technical condition of the engine is proposed. Some results of the classification of the technical condition of the engine are presented. The expediency of introducing and using hybrid intelligent systems based on artificial neural networks is exemplified by diagnostics of the MITSUBISHI S16R engine.


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