Cooperative energy management of renewable agricultural power system integrating demand response and multi-energy hub

This paper presents an economical energy framework for rural electrification through agricultural microgrids. It delves into the synergistic energy management, harnessing demand response and a multi-energy hub to satisfy the multifaceted energy requirements of agriculture. With an emphasis on mitigating risks, the study introduces metrics for Expected Power Not Served (EPNS) and Expected Power Curtailment (EPC), providing a quantitative assessment of wind power variability. Advancing this, a probabilistic day-ahead operational model is formulated to streamline the interplay between a wind-integrated pumped storage system and agricultural water management. The overarching goal is operational cost minimization coupled with load peak mitigation, leveraging the pumped storage system’s potential. The model’s efficacy is underscored by its ability to optimize energy distribution, curtail costs, and even out the demand curve, as evidenced by simulations surpassing current methodologies.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/icepg63230.2024.10775762
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17

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article

Cooperative energy management of renewable agricultural power system integrating demand response and multi-energy hub

Hongtao Yin, Yifan Zhou, Chunlei Shen, Chunyu Hu et al.
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Power Systems and Renewable Energy
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article

Cooperative energy management of renewable agricultural power system integrating demand response and multi-energy hub

Hongtao Yin, Yifan Zhou, Chunlei Shen, Chunyu Hu, Xichao Zhou
article en
1 citations

Abstract

This paper presents an economical energy framework for rural electrification through agricultural microgrids. It delves into the synergistic energy management, harnessing demand response and a multi-energy hub to satisfy the multifaceted energy requirements of agriculture. With an emphasis on mitigating risks, the study introduces metrics for Expected Power Not Served (EPNS) and Expected Power Curtailment (EPC), providing a quantitative assessment of wind power variability. Advancing this, a probabilistic day-ahead operational model is formulated to streamline the interplay between a wind-integrated pumped storage system and agricultural water management. The overarching goal is operational cost minimization coupled with load peak mitigation, leveraging the pumped storage system’s potential. The model’s efficacy is underscored by its ability to optimize energy distribution, curtail costs, and even out the demand curve, as evidenced by simulations surpassing current methodologies.

State Grid Corporation of China (China) (CN)
State Grid Corporation of China, Research and Development
Zero hunger
Openalex Percentile: Top 42%
Power Systems and Renewable Energy
0.17
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