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<p>In this paper, firstly, the load monitoring characteristics of new energy power consumption are studied and analyzed in terms of both steady-state and transient characteristics, and suitable characteristic values are selected for different types as the basis of load decomposition. A comparative analysis of various types of load imprints is conducted to highlight the advantages of steady-state harmonic features as load monitoring feature data. Then, an evaluation model of the demand response potential of electricity information collection is established based on a multi-objective optimization algorithm, and technical and economic analysis of electricity information collection is carried out to evaluate the response potential of power companies collecting customer data. Finally, the situation and benefits of collecting electricity consumption information for new energy power are analyzed. The daily maximum load moments of typical users are all cut by more than 10%, the peak load portion cut by more than 97% is also more obvious, and the maximum moments of valley filling response are all more than 11%. D Power saved a total of 3.759 billion yuan in labor costs by reducing labor costs by 400 million yuan after adopting electricity consumption information collection. The indices of excellent and qualified management benefit and social benefit evaluation of electricity consumption information collection are above 0.8. Overall, the benefits of electricity consumption information collection for new energy power with basic steady-state harmonic characteristics are significant and effective.</p>
</abstract>

In this paper, firstly, the load monitoring characteristics of new energy power consumption are studied and analyzed in terms of both steady-state and transient characteristics, and suitable characteristic values are selected for different types as the basis of load decomposition. A comparative analysis of various types of load imprints is conducted to highlight the advantages of steady-state harmonic features as load monitoring feature data. Then, an evaluation model of the demand response potential of electricity information collection is established based on a multi-objective optimization algorithm, and technical and economic analysis of electricity information collection is carried out to evaluate the response potential of power companies collecting customer data. Finally, the situation and benefits of collecting electricity consumption information for new energy power are analyzed. The daily maximum load moments of typical users are all cut by more than 10%, the peak load portion cut by more than 97% is also more obvious, and the maximum moments of valley filling response are all more than 11%. D Power saved a total of 3.759 billion yuan in labor costs by reducing labor costs by 400 million yuan after adopting electricity consumption information collection. The indices of excellent and qualified management benefit and social benefit evaluation of electricity consumption information collection are above 0.8. Overall, the benefits of electricity consumption information collection for new energy power with basic steady-state harmonic characteristics are significant and effective.

Benefit evaluation analysis of new energy power consumption information collection with basic steady-state harmonic characteristics

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this paper, firstly, the load monitoring characteristics of new energy power consumption are studied and analyzed in terms of both steady-state and...

Benefit evaluation analysis of new energy power consumption information collection with basic steady-state harmonic characteristics

Online veröffentlicht: 25. Nov. 2023

Seitenbereich: -

Eingereicht: 07. Dez. 2022

Akzeptiert: 05. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01241

Schlüsselwörter
Steady-state harmonic characteristics, Load monitoring, Multi-objective optimization algorithm, Electricity consumption information collection, Benefit assessment

© 2023 Qing Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Benefit evaluation analysis of new energy power consumption information collection with basic steady-state harmonic characteristics

Online veröffentlicht: 25. Nov. 2023

Seitenbereich: -

Eingereicht: 07. Dez. 2022

Akzeptiert: 05. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01241

SchlüsselwörterSteady-state harmonic characteristics, Load monitoring, Multi-objective optimization algorithm, Electricity consumption information collection, Benefit assessment

© 2023 Qing Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Steady-state harmonic characteristics, Load monitoring, Multi-objective optimization algorithm, Electricity consumption information collection, Benefit assessment