Paper
25 April 2022 Demand side resources participating in the construction of power market value system
GuoLong Yin, Ning Mi, Ning Qiao, Chao Zhang, HongJie Tian, XiaoZhen Ma, Qiang Li
Author Affiliations +
Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 122444U (2022) https://doi.org/10.1117/12.2635097
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China
Abstract
In recent years, the power market has received more and more attention in China. However, in the traditional power system, there is only the concept of load side, and there is no real concept of user side. Users can only accept power supply and expenditure as a load. In view of the problems that the user side does not have the ability to respond, the power generation side has low resource allocation efficiency, the entire market lacks profit and flexibility, and the development of the electricity market enters a bottleneck period, the role of electricity demand response is explored. Based on this, the value of demand side resources is further analyzed, and the value system of power demand side resources is constructed considering the participation of power demand side resources in the electricity market value, which provides support for the participation of power demand side resources in the electricity market value assessment.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
GuoLong Yin, Ning Mi, Ning Qiao, Chao Zhang, HongJie Tian, XiaoZhen Ma, and Qiang Li "Demand side resources participating in the construction of power market value system", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 122444U (25 April 2022); https://doi.org/10.1117/12.2635097
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KEYWORDS
Power supplies

Reliability

Internet

Rutherfordium

Solar energy

Lithium

Mathematical modeling

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