Multi-Scenario and Multi-Entity Interaction of Village-Level Microgrids Considering Solar-Storage-Charging-Network-Load Coupling

This paper proposes a multi-scenario and multi-entity interaction method for village-level microgrids with solar-storage-charging-network-load coupling. First, considering the deep coupling relationship of solar-storage-charging-network-load within village-level microgrids, this study constructs a collaborative interaction model for solar-storage-charging-network-load based on different resource characteristics. It explores the flexible interaction potential, enabling efficient utilization of large-scale distributed resources and ensuring self-consistent operation of village-level microgrids under various fluctuating source-load scenarios. Then, considering diverse supply-demand relationships among multiple stakeholders within village-level microgrids, a complete information dynamic game behavior model involving different stakeholders is developed. It achieves collaborative energy complementarity, allowing all parties to profit, thereby enhancing the overall social benefits of the village-level microgrid. Finally, the effectiveness of the proposed model and method are verified in case studies.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991343
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Scenario and Multi-Entity Interaction of Village-Level Microgrids Considering Solar-Storage-Charging-Network-Load Coupling

Wenfei Yi, Qiangsheng Bu, Yunpeng Jiang
Microgrid Control and Optimization
article

Multi-Scenario and Multi-Entity Interaction of Village-Level Microgrids Considering Solar-Storage-Charging-Network-Load Coupling

Wenfei Yi, Qiangsheng Bu, Yunpeng Jiang
article en

Abstract

This paper proposes a multi-scenario and multi-entity interaction method for village-level microgrids with solar-storage-charging-network-load coupling. First, considering the deep coupling relationship of solar-storage-charging-network-load within village-level microgrids, this study constructs a collaborative interaction model for solar-storage-charging-network-load based on different resource characteristics. It explores the flexible interaction potential, enabling efficient utilization of large-scale distributed resources and ensuring self-consistent operation of village-level microgrids under various fluctuating source-load scenarios. Then, considering diverse supply-demand relationships among multiple stakeholders within village-level microgrids, a complete information dynamic game behavior model involving different stakeholders is developed. It achieves collaborative energy complementarity, allowing all parties to profit, thereby enhancing the overall social benefits of the village-level microgrid. Finally, the effectiveness of the proposed model and method are verified in case studies.

Shanghai Electric (China) (CN), Tsinghua University (CN)
State Grid Corporation of China
Sustainable cities and communities
Openalex Percentile: Top 62%
Microgrid Control and Optimization
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Multi-Scenario and Multi-Entity Interaction of Village-Level Microgrids Considering Solar-Storage-Charging-Network-Load Coupling — Wenfei Yi, Qiangsheng Bu, et al. · (2024) | TGRS Research Map | TGRS