Paper
19 October 2022 Research on market mechanism of energy storage participating in deep peak shaving under high proportion of new energy penetration
Hao Ren, Yuqi Xie
Author Affiliations +
Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122945J (2022) https://doi.org/10.1117/12.2639742
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China
Abstract
With the sharp decline in the cost of new energy power generation, the construction of new energy power supply has become a new choice. However, new energy power generation is intermittent and uncertain. After a high proportion of new energy is connected, the stability of the power grid is deteriorated. In order to solve the problem of insufficient peak shaving capacity of high proportion of new energy connected to the power grid, firstly, the system net load peak and valley situation analysis model is established to analyze the relationship between new energy access and net load peak and valley characteristics. Secondly, with the deepening of the new round of electricity market reform, in order to promote energy storage to participate in peak load regulation effectively, a fire storage joint peak shaving bidding model is proposed in the day ahead scheduling. The thermal power and energy storage units participate in bidding according to the ladder pricing strategy, and the power Trading Center completes the scheduling plan with the minimum peak shaving cost as the goal. Finally, an example is given to verify the effectiveness of the market mechanism and model proposed in this paper.
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Hao Ren and Yuqi Xie "Research on market mechanism of energy storage participating in deep peak shaving under high proportion of new energy penetration", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122945J (19 October 2022); https://doi.org/10.1117/12.2639742
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KEYWORDS
Solar energy

Wind energy

Photovoltaics

Data storage

Medium wave

Solar radiation

Data modeling

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