Paper
6 May 2022 Simulation on the tactics of energy storage in power generation sector in context of the time of use tariff
Kai Zhu, Yanhong Zhang
Author Affiliations +
Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122560S (2022) https://doi.org/10.1117/12.2635409
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China
Abstract
In July 2021, the NDRC (National Development and Reform Committee) launched the Notice to Further Better Off the ToU (Time of Use) Mechanism [1]. The notice is aimed to create a better environment for the development of the renewables and the construction of the renewables-based new power system by deepening the reform of the power market. This paper stands in the point of view of the power plants to address how does the power supply side, especially the coal fired power plants, tackle the challenges coming out in the context of the widening tariff difference between the peak and valley loads. This paper analyzed the operational tactics of the energy storage in the power supply side. With the model analysis and the simulation of the energy storage tactics, it tried to usher the power supply side to grasp the opportunity to adopt new energy storage facilities and apply the storage operational tactics, to enhance the reliability of the system, and meanwhile increase the proportion of the renewables into the power grid, ultimately help our power industry drive a successful energy transition and form a solid new power system in near future.
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Kai Zhu and Yanhong Zhang "Simulation on the tactics of energy storage in power generation sector in context of the time of use tariff", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122560S (6 May 2022); https://doi.org/10.1117/12.2635409
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KEYWORDS
Power supplies

Analytical research

Data modeling

Energy efficiency

Modeling and simulation

Reliability

Renewable energy

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