Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

February 26, 2024


Pages


DOI

Article

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

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Authors

Yuzhe Xie Affiliation:
State Grid Ningbo Electric Power Supply Company, Ningbo, Zhejiang, 315000, China.
and Xiuling Wu Affiliation:
State Grid Ningbo Electric Power Supply Company, Ningbo, Zhejiang, 315000, China.


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.


Keywords

Energy dispatch optimization, Time-of-day tariff system, Efficient allocation, Utilization efficiency, 93C62


Citation

Xie, Y. & Wu, X. (2024). Optimization of energy dispatch for commercial and industrial users based on demand management strategies. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0523
1 Total citations
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(2 years)
17 References
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