Research on Multi-time Scale Optimal Operation Strategy of Customer-side Integrated Energy System

In the traditional power demand response, users can help the power system to complete peak and frequency modulation while reducing their own electricity costs by means of reduction and translation. For the customer-side integrated energy system (CIES), the load demand of users becomes diversified, and scientific and reasonable optimal operation strategy is particularly critical. Based on the constructed CIES internal equipment model and the static and dynamic characteristics of its flexible resources, this paper proposes an optimal operation strategy for participating in the demand side response of the power grid at multiple time scales. A day-ahead and intra-day two-stage optimal scheduling model is constructed, and an example is used to verify the effectiveness of the proposed strategy.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iciba62489.2024.10868137
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

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Research on Multi-time Scale Optimal Operation Strategy of Customer-side Integrated Energy System

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article

Research on Multi-time Scale Optimal Operation Strategy of Customer-side Integrated Energy System

Aihong Tang, Ziwei Zhao, Hongsheng Li, Zihao Huang, Songjian Liu
article en

Abstract

In the traditional power demand response, users can help the power system to complete peak and frequency modulation while reducing their own electricity costs by means of reduction and translation. For the customer-side integrated energy system (CIES), the load demand of users becomes diversified, and scientific and reasonable optimal operation strategy is particularly critical. Based on the constructed CIES internal equipment model and the static and dynamic characteristics of its flexible resources, this paper proposes an optimal operation strategy for participating in the demand side response of the power grid at multiple time scales. A day-ahead and intra-day two-stage optimal scheduling model is constructed, and an example is used to verify the effectiveness of the proposed strategy.

Wuhan University of Technology (CN)
Wuhan University of Technology
Affordable and clean energy
Openalex Percentile: Top 70%
Power Systems and Renewable Energy
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