Paper
19 October 2022 Intelligent energy management system based on conditional constraint
Author Affiliations +
Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122941H (2022) https://doi.org/10.1117/12.2641942
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China
Abstract
In the process of power transmission between regions, in order to expand the depth of power resource allocation, not only the power supply can be expanded in the region to meet the growing load demand, but also the transmission line can be expanded between regions. The construction of transmission line is conducive to peak regulation management, thereby reducing the investment in peak regulation power supply and the construction cost. In this paper, all kinds of index factors are used as input variables, and the system dynamics model is used to construct the regional energy supply and demand balance model considering transmission constraints. Firstly, the causality loop is constructed, and then the flow chart is used to construct the model. The variables in the system are assigned and defined. Finally, the coal supply and demand relationship, power supply and demand relationship and price trend among regions are predicted. The results show that the relationship between coal supply and demand will affect the fluctuation of coal price, thus affecting the economic development of each region. The economic development of both the sending end region and the receiving end region will increase the demand for power resources. The construction of power transmission channel can relieve the pressure of coal transportation channel to a certain extent, improve the absorption capacity of clean energy and promote the development of clean energy.
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Qingyang Liu "Intelligent energy management system based on conditional constraint", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122941H (19 October 2022); https://doi.org/10.1117/12.2641942
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KEYWORDS
Wind energy

Solar energy

Quantum efficiency

Power supplies

Intelligence systems

Optimization (mathematics)

Atmospheric modeling

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