Research on rolling adjustment technology of cross-province priority plan based on dynamic programming

This paper discusses the dynamic programming based cross-province priority plan rolling adjustment technology to cope with the increasingly complex and variable operating conditions of power system. By constructing a dynamic programming model and considering many factors such as generation cost, power supply reliability and environmental impact, the optimal allocation of power system resources is realized. The model verification results show that this technology can effectively determine the optimal decision variables according to the initial state variables, realize the optimal scheduling of the power system, reduce the total cost, and improve the operation efficiency of the power system.

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Published
2025-09-19
DOI
https://doi.org/10.1117/12.3085747
Primary Topic
Evaluation Methods in Various Fields
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article
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Research on rolling adjustment technology of cross-province priority plan based on dynamic programming

Xu Du, Xiao Liang, Quan Yuan, Qiang Zhang et al.
Evaluation Methods in Various Fields
article

Research on rolling adjustment technology of cross-province priority plan based on dynamic programming

Xu Du, Xiao Liang, Quan Yuan, Qiang Zhang, Wei Wang, Yongcan Zhou, Xinyi Lai
article en

Abstract

This paper discusses the dynamic programming based cross-province priority plan rolling adjustment technology to cope with the increasingly complex and variable operating conditions of power system. By constructing a dynamic programming model and considering many factors such as generation cost, power supply reliability and environmental impact, the optimal allocation of power system resources is realized. The model verification results show that this technology can effectively determine the optimal decision variables according to the initial state variables, realize the optimal scheduling of the power system, reduce the total cost, and improve the operation efficiency of the power system.

National Power (United Kingdom) (GB)
Openalex Percentile: Top 86%
Evaluation Methods in Various Fields
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