Enhancing Renewable Energy Utilization in Microgrids through a Flexible Load Dispatch System

This paper proposes a High-Efficiency Flexible Load Microgrid System (FLMS) designed to improve renewable energy utilization in microgrids through optimal economic dispatch. By integrating a Clever Power Distributor (CPD), the system effectively schedules inputs from various renewable sources, converting their long-term instability into short-term stability. This enables direct allocation of energy to loads using load classification and dynamic distribution methods, improving direct renewable energy usage and reducing electricity costs. The FLMS economic model combines renewable generation, energy storage, and grid electricity into an optimized framework guided by intelligent algorithms and Lagrangian analysis. Simulation results across 12 industries and four seasons in Shanghai show that FLMS achieves 37.5% to 57.7% higher renewable energy utilization rates compared to traditional microgrids. These improvements enhance energy independence, reduce carbon emissions, and lower operational costs, contributing to the realization of a green and economically efficient source-grid-load-storage integration.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/nesp65198.2025.11040696
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Enhancing Renewable Energy Utilization in Microgrids through a Flexible Load Dispatch System

Guolei Liu, S.Y.W. Su, Yang Zhou, Junyi Wang
Microgrid Control and Optimization
article

Enhancing Renewable Energy Utilization in Microgrids through a Flexible Load Dispatch System

Guolei Liu, S.Y.W. Su, Yang Zhou, Junyi Wang
article en

Abstract

This paper proposes a High-Efficiency Flexible Load Microgrid System (FLMS) designed to improve renewable energy utilization in microgrids through optimal economic dispatch. By integrating a Clever Power Distributor (CPD), the system effectively schedules inputs from various renewable sources, converting their long-term instability into short-term stability. This enables direct allocation of energy to loads using load classification and dynamic distribution methods, improving direct renewable energy usage and reducing electricity costs. The FLMS economic model combines renewable generation, energy storage, and grid electricity into an optimized framework guided by intelligent algorithms and Lagrangian analysis. Simulation results across 12 industries and four seasons in Shanghai show that FLMS achieves 37.5% to 57.7% higher renewable energy utilization rates compared to traditional microgrids. These improvements enhance energy independence, reduce carbon emissions, and lower operational costs, contributing to the realization of a green and economically efficient source-grid-load-storage integration.

Fudan University (CN), Songshan Lake Materials Laboratory (CN)
Affordable and clean energy
Openalex Percentile: Top 83%
Microgrid Control and Optimization
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