<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the acceleration of power marketization, there is a growing demand for optimization of power demand management and energy dispatch by industrial and commercial users, especially in achieving energy consumption efficiency and cost reduction. We adopt a two-layer optimization model combined with a time-sharing tariff system to efficiently allocate electricity resources by constructing an electricity demand response model for industrial and commercial users. The study results show that after implementing time-of-day tariffs, the cost of electricity for industrial and commercial users has been reduced by 15% on average. At the same time, the grid company’s revenue from electricity sales has been enhanced by 10%. In addition, a customer satisfaction survey found that customer satisfaction with the optimized power dispatch scheme increased by 20%. The study’s conclusion confirms that through scientific demand management and scheduling strategies, we can effectively improve the utilization efficiency of power resources and reduce costs, while ensuring customer satisfaction and achieving a win-win situation for supply and demand.</p>
</abstract>

With the acceleration of power marketization, there is a growing demand for optimization of power demand management and energy dispatch by industrial and commercial users, especially in achieving energy consumption efficiency and cost reduction. We adopt a two-layer optimization model combined with a time-sharing tariff system to efficiently allocate electricity resources by constructing an electricity demand response model for industrial and commercial users. The study results show that after implementing time-of-day tariffs, the cost of electricity for industrial and commercial users has been reduced by 15% on average. At the same time, the grid company’s revenue from electricity sales has been enhanced by 10%. In addition, a customer satisfaction survey found that customer satisfaction with the optimized power dispatch scheme increased by 20%. The study’s conclusion confirms that through scientific demand management and scheduling strategies, we can effectively improve the utilization efficiency of power resources and reduce costs, while ensuring customer satisfaction and achieving a win-win situation for supply and demand.

Optimization of energy dispatch for commercial and industrial users based on demand management strategies

Applied Mathematics and Nonlinear Sciences

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

With the acceleration of power marketization, there is a growing demand for optimization of power demand management and energy dispatch by industrial and...

Optimization of energy dispatch for commercial and industrial users based on demand management strategies

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 12. Jan. 2024

Akzeptiert: 22. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0523

Schlüsselwörter
Energy dispatch optimization, Time-of-day tariff system, Efficient allocation, Utilization efficiency

© 2024 Yuzhe Xie et al., published by Sciendo

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

Optimization of energy dispatch for commercial and industrial users based on demand management strategies

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 12. Jan. 2024

Akzeptiert: 22. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0523

SchlüsselwörterEnergy dispatch optimization, Time-of-day tariff system, Efficient allocation, Utilization efficiency

© 2024 Yuzhe Xie et al., published by Sciendo

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

Schlüsselwörter
Energy dispatch optimization, Time-of-day tariff system, Efficient allocation, Utilization efficiency