Economic Dispatch Strategy for Virtual Power Plants Based on Distributed Multi-Agent Algorithms

Jiang, Dong; Wang, Chenxia; Xue, Yali

doi:10.1109/iceeps62542.2024.10693050

2024 3rd International Conference on Energy and Electrical Power Systems (ICEEPS) 2024

DOI: 10.1109/iceeps62542.2024.10693050

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Economic Dispatch Strategy for Virtual Power Plants Based on Distributed Multi-Agent Algorithms

Dong Jiang,

Chenxia Wang,

Yali Xue

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Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources

Hyun,

Kim,

Park

et al. 2024

Applied Sciences

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This study addresses the challenges of grid stability posed by the integration of renewable energy sources, focusing on regions, like Jeju Island, where overgeneration complicates energy management. We introduce a novel sensitivity-based control algorithm for Virtual Power Plants (VPPs) that optimizes the deployment of distributed energy resources (DERs). Unlike conventional curtailment methods, such as Last In, First Out (LIFO) and Pro-rata, which often overlook the nuanced impacts of individual DERs on grid stability, our approach leverages electrical sensitivity analysis. This analysis quantifies the effect of each DER on voltage stability, allowing resources to be grouped and managed based on their specific sensitivity. By deriving the sensitivity matrix from the Jacobian matrix of power flow equations, the algorithm identifies critical DERs that significantly influence grid conditions, enabling more strategic curtailment decisions. The proposed method was validated using real-world data from Jeju Island, demonstrating improved efficiency and reduced curtailment compared to existing techniques. These findings underscore the potential of sensitivity-based control to enhance the efficiency of renewable energy systems, supporting sustainable energy transitions.

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Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources

Hyun,

Kim,

Park

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

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Economic Dispatch Strategy for Virtual Power Plants Based on Distributed Multi-Agent Algorithms

Cited by 1 publication

References 17 publications

Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources

Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources

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