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September 5, 2025Strategic Planning for Energy and the Environment

Research on Optimal Operation Strategy of Distribution Network under Coordinated Dispatching of Flexible Load and Energy Storage

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Authors

MCMengzeng Cheng GLGuangshuo LiuShandong University JMJingrong MengShanghai Jiao Tong University

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Implication

This study demonstrates how cooperative scheduling improves energy storage and flexible load in distribution networks, indicating enhanced renewable energy utilization.

Key Points

Implementing the proposed strategy reduces the distribution network’s peak load by 15%, and boosts renewable energy utilization by 20%.
A mathematical model incorporates load characteristics and energy storage performance in optimizing distribution operations.
The cooperative scheduling approach addresses supply-demand imbalance through multi-objective optimization techniques.
Experimental results validate the method's effectiveness across different scenarios, highlighting its adaptability for efficient distribution network management.

Cite This Study

Cheng et al. (2025) studied this question.

synapsesocial.com/papers/68bb4def6d6d5674bcd01dba https://doi.org/10.13052/spee1048-5236.4432

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Implication

This study demonstrates how cooperative scheduling improves energy storage and flexible load in distribution networks, indicating enhanced renewable energy utilization.

Research on Optimal Operation Strategy of Distribution Network under Coordinated Dispatching of Flexible Load and Energy Storage

Discussion

Member takes

Implication

Key Points

Cite This Study

Research on Optimal Operation Strategy of Distribution Network under Coordinated Dispatching of Flexible Load and Energy Storage

Discussion

Member takes

Implication

Key Points

Cite This Study

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