Digital modeling and application of power dispatching operation standards based on intelligent optimization algorithms

This article focuses on the study of optimal dispatching of electrical power system (EPS), aiming at exploring the effect of digital model in reducing power generation cost and transmission loss. By designing several groups of experiments on power generation cost optimization and transmission loss reduction, specific line charts are constructed and data tables are listed for analysis. In the power generation cost optimization experiment, different load requirements of 200MW1500MW are set at intervals of 100MW. The results show that the dispatching cost of digital model is lower than the traditional dispatching cost at each load point, with an average reduction ratio of about 15.2%. In the experiment of transmission loss reduction, it is found that the transmission loss of digital model scheduling is always lower than that of traditional scheduling in various scenarios, and the average loss reduction ratio is about 27.4%. The research shows that the digital model can significantly reduce the power generation cost and transmission loss and effectively improve the energy utilization efficiency of EPS by optimizing the power distribution of power generation and transmission lines.

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Publication Details

Published
2025-08-28
DOI
https://doi.org/10.1117/12.3078632
Primary Topic
Electric Power Systems and Control
Type
article
Field-Weighted Citation Impact
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article

Digital modeling and application of power dispatching operation standards based on intelligent optimization algorithms

S. Y. Zhang, M Liu, Xingxi Wen, Bijing Liu et al.
Electric Power Systems and Control
article

Digital modeling and application of power dispatching operation standards based on intelligent optimization algorithms

S. Y. Zhang, M Liu, Xingxi Wen, Bijing Liu, Liwei Zheng
article en

Abstract

This article focuses on the study of optimal dispatching of electrical power system (EPS), aiming at exploring the effect of digital model in reducing power generation cost and transmission loss. By designing several groups of experiments on power generation cost optimization and transmission loss reduction, specific line charts are constructed and data tables are listed for analysis. In the power generation cost optimization experiment, different load requirements of 200MW1500MW are set at intervals of 100MW. The results show that the dispatching cost of digital model is lower than the traditional dispatching cost at each load point, with an average reduction ratio of about 15.2%. In the experiment of transmission loss reduction, it is found that the transmission loss of digital model scheduling is always lower than that of traditional scheduling in various scenarios, and the average loss reduction ratio is about 27.4%. The research shows that the digital model can significantly reduce the power generation cost and transmission loss and effectively improve the energy utilization efficiency of EPS by optimizing the power distribution of power generation and transmission lines.

Chongqing University (CN), Fujian Electric Power Survey & Design Institute (CN)
Openalex Percentile: Top 78%
Electric Power Systems and Control
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