Online evaluation method, device and equipment for primary frequency modulation capability of thermal power generating unit and medium

By combining the UMAP algorithm with the BiLSTM-Attention structure and the entropy-weighted TOPSIS method, online evaluation of the primary frequency regulation capability of thermal power units is achieved, which solves the limitations of the existing evaluation system and improves the accuracy and adaptability of the evaluation.

CN120725543AActive Publication Date: 2025-09-30DATANG DONGBEI ELECTRIC POWER TESTING & RES INST
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Patent Information

Application Number
CN202511203115.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-27
Publication Date
2025-09-30
Estimated Expiration
2045-08-27

AI Technical Summary

Technical Problem

The existing primary frequency regulation capability assessment system for thermal power units relies on offline tests, which cannot effectively reflect the comprehensive frequency regulation capability of the units under variable operating conditions. In addition, online assessment cannot simulate the dynamic disturbance process, resulting in serious deviations between the assessment results and the actual situation.

Method used

The UMAP algorithm is used for feature dimensionality reduction and reconstruction. Combined with the BiLSTM-Attention structure, the thermal power unit primary frequency regulation output prediction model is used. The entropy weight TOPSIS method is used for weight allocation to generate comprehensive evaluation indicators and realize online real-time evaluation.

Benefits of technology

It improves the accuracy and comprehensiveness of frequency regulation capability assessment, can intuitively reflect the strengths and weaknesses of the unit's frequency regulation capability, adapt to changes in grid demand and operating costs, and support real-time frequency regulation decision-making for the grid.

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Abstract

The invention discloses a thermal power generating unit primary frequency modulation capability online evaluation method, device, equipment and medium, and relates to the field of thermal power generating unit frequency modulation. A UMAP algorithm is adopted to carry out feature dimension reduction and reconstruction processing on a high-dimensional operation data set of a thermal power generating unit to be evaluated; the UMAP can capture the manifold structure of the data and meanwhile reserve local association and global distribution, the dimensionality of the features is greatly reduced, then the obtained unit output feature set is input into a pre-trained thermal power unit primary frequency modulation output prediction model, and online frequency modulation output prediction is achieved. A traditional framework which only focuses on frequency modulation performance is broken through in dimension evaluation, evaluation dimension quantification is carried out based on a unit output prediction result and a high-dimensional operation data set, and an evaluation factor set is constructed. And finally, an entropy weight TOPSIS method is adopted to carry out weight distribution calculation on the evaluation factor set, a primary frequency modulation capability comprehensive evaluation index is generated, the advantages and disadvantages of the frequency modulation capability of the unit are visually reflected, and the frequency modulation capability evaluation accuracy is improved.
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