Efficient Energy Dispatching for User-Load Smart Nano-Grids

User-Load Smart Nano-Grids (UL-SNGs) are localized and small-scale energy networks designed to efficiently manage generation, storage, and consumption at a local level. The UL-SN G integrates photovoltaic (PV) devices, energy storage (ES) units, and flexible load demand with advanced control and communication techniques. Therefore, this paper proposes an optimal energy dispatching system framework where multiple UL-SNGs are interconnected to actively participate in the demand response (DR) within the large and small timescale energy scheduling. First, an optimal energy dispatching control DR strategy is proposed as a large-timescale energy scheduling, specifically an incentive mechanism for UL-SNGs to participate in DR. Then, to improve real-time PV utilization and ensure the operational stability of ES energy among UL-SNGs, a Lyapunov-based real-time energy optimization (LREO) algorithm is designed as a small-timescale energy scheduling. Finally, a MATLAB simulation model is developed using accurate UL-SNG profiles to evaluate the effectiveness of the optimized energy dispatching control strategy. The numerical results improve the optimization of the energy dispatching and real-time PV utilization, ensuring the stabilized ES queue operation among the UL-SNGs DR.

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Published
2025-01-10
DOI
https://doi.org/10.1109/iceaai64185.2025.10956255
Primary Topic
Energy Harvesting in Wireless Networks
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article
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Efficient Energy Dispatching for User-Load Smart Nano-Grids

Zhenyu Zhou, Wang Zhao, Adugna Gebrie Jember, Jiayi Liu et al.
Energy Harvesting in Wireless Networks
article

Efficient Energy Dispatching for User-Load Smart Nano-Grids

Zhenyu Zhou, Wang Zhao, Adugna Gebrie Jember, Jiayi Liu, Ruixin Bao
article en

Abstract

User-Load Smart Nano-Grids (UL-SNGs) are localized and small-scale energy networks designed to efficiently manage generation, storage, and consumption at a local level. The UL-SN G integrates photovoltaic (PV) devices, energy storage (ES) units, and flexible load demand with advanced control and communication techniques. Therefore, this paper proposes an optimal energy dispatching system framework where multiple UL-SNGs are interconnected to actively participate in the demand response (DR) within the large and small timescale energy scheduling. First, an optimal energy dispatching control DR strategy is proposed as a large-timescale energy scheduling, specifically an incentive mechanism for UL-SNGs to participate in DR. Then, to improve real-time PV utilization and ensure the operational stability of ES energy among UL-SNGs, a Lyapunov-based real-time energy optimization (LREO) algorithm is designed as a small-timescale energy scheduling. Finally, a MATLAB simulation model is developed using accurate UL-SNG profiles to evaluate the effectiveness of the optimized energy dispatching control strategy. The numerical results improve the optimization of the energy dispatching and real-time PV utilization, ensuring the stabilized ES queue operation among the UL-SNGs DR.

North China Electric Power University (CN), State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources
Affordable and clean energy
Openalex Percentile: Top 94%
Energy Harvesting in Wireless Networks
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Efficient Energy Dispatching for User-Load Smart Nano-Grids — Zhenyu Zhou, Wang Zhao, et al. · (2025) | TGRS Research Map | TGRS