Load adjustable potential assessment method for large industrial users based on decadal time scale

With the rapid development of the power market and the large-scale integration of renewable energy, the load adjustment capacity of the power system has become increasingly important. Large industrial users, as the main load component of the power system, have significant load adjustment potential. This paper proposes a load adjustable potential assessment method for large industrial users based on the decadal time scale. By analyzing various adjustable potential indicators within the decade, the TOPSIS method is used to comprehensively evaluate the load adjustment potential of large industrial users. First, collect historical load data and related environmental data of large industrial users; then, quantify the indicators on the decadal time scale; finally, propose corresponding load adjustment strategy suggestions based on the indicator analysis results. The actual example shows that the evaluation method and indicator system proposed in this paper are reasonable and effective.

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Publication Details

Published
2025-01-16
DOI
https://doi.org/10.1117/12.3044971
Citations
1
Primary Topic
Elevator Systems and Control
Type
article
Field-Weighted Citation Impact
1.21
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Load adjustable potential assessment method for large industrial users based on decadal time scale

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Load adjustable potential assessment method for large industrial users based on decadal time scale

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article en
1 citations

Abstract

With the rapid development of the power market and the large-scale integration of renewable energy, the load adjustment capacity of the power system has become increasingly important. Large industrial users, as the main load component of the power system, have significant load adjustment potential. This paper proposes a load adjustable potential assessment method for large industrial users based on the decadal time scale. By analyzing various adjustable potential indicators within the decade, the TOPSIS method is used to comprehensively evaluate the load adjustment potential of large industrial users. First, collect historical load data and related environmental data of large industrial users; then, quantify the indicators on the decadal time scale; finally, propose corresponding load adjustment strategy suggestions based on the indicator analysis results. The actual example shows that the evaluation method and indicator system proposed in this paper are reasonable and effective.

North China Electric Power University (CN), Inner Mongolia Electric Power (China) (CN), State Power Investment Corporation (China) (CN)
Openalex Percentile: Top 25%
Elevator Systems and Control
1.21
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