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Flexible Load Participation in Peaking Shaving and Valley Filling Based on Dynamic Price Incentives

Lifeng Wang1, Jing Yu2,*, Wenlu Ji1

1 Nanjing Power Supply Company, Nanjing, 210019, China
2 State Grid Jiangsu Electric Power Co., Ltd., Nanjing, 211103, China

* Corresponding Author: Jing Yu. Email: email

Energy Engineering 2024, 121(2), 523-540. https://doi.org/10.32604/ee.2023.041881

Abstract

Considering the widening of the peak-valley difference in the power grid and the difficulty of the existing fixed time-of-use electricity price mechanism in meeting the energy demand of heterogeneous users at various moments or motivating users, the design of a reasonable dynamic pricing mechanism to actively engage users in demand response becomes imperative for power grid companies. For this purpose, a power grid-flexible load bilevel model is constructed based on dynamic pricing, where the leader is the dispatching center and the lower-level flexible load acts as the follower. Initially, an upper-level day-ahead dispatching model for the power grid is established, considering the lowest power grid dispatching cost as the objective function and incorporating the power grid-side constraints. Then, the lower level comprehensively considers the load characteristics of industrial load, energy storage, and data centers, and then establishes a lower-level flexible load operation model with the lowest user power-consuming cost as the objective function. Finally, the proposed method is validated using the IEEE-118 system, and the findings indicate that the dynamic pricing mechanism for peaking shaving and valley filling can effectively guide users to respond actively, thereby reducing the peak-valley difference and decreasing users’ purchasing costs.

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Cite This Article

Wang, L., Yu, J., Ji, W. (2024). Flexible Load Participation in Peaking Shaving and Valley Filling Based on Dynamic Price Incentives. Energy Engineering, 121(2), 523–540.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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