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Updated: Jun 19, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Concurrent negotiation and coordination for grid resource coallocation.

Kwang Mong Sim¹, Benyun Shi

¹Department of Information and Communications, Gwangju Institute of Science and Technology, Gwangju 500-712, Korea. prof_sim_2002@yahoo.com

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|November 4, 2009

Summary

This summary is machine-generated.

This study introduces a concurrent negotiation mechanism for Grid resource coallocation, enhancing utility and success rates. It optimizes resource acquisition for computationally intensive applications across different administrative domains.

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Area of Science:

Computer Science
Distributed Computing
Resource Management

Background:

Grid computing requires efficient resource coallocation for demanding applications.
Concurrent negotiation for multiple resources across administrative domains presents significant challenges due to differing provider/consumer requirements.

Purpose of the Study:

To propose and evaluate a novel concurrent negotiation mechanism for Grid resource coallocation.
To introduce a utility-oriented coordination (UOC) strategy and commitment management strategies (CMSs) for multi-resource acquisition.

Main Methods:

Developed a concurrent negotiation mechanism managing contract (de)commitments and coordinating multiple negotiations.
Designed three classes of CMSs and negotiation protocols for consumers and providers.
Conducted experiments comparing UOC with existing strategies (e.g., PCS) and evaluating CMS performance across market types.

Main Results:

The UOC strategy outperformed PCS, achieving higher utility, faster negotiation, and increased success rates.
The proposed CMSs resulted in higher final utility compared to existing methods.
Empirical results verified the effectiveness of CMSs across various resource market types.

Conclusions:

The developed concurrent negotiation mechanism significantly improves Grid resource coallocation efficiency.
The UOC strategy and CMSs offer a robust solution for complex multi-resource acquisition in Grid environments.