A framework for self-healing smart grid with incorporation of multi-agents

Shiwei Xia; Xiao Luo; Ka Wing Chan

doi:10.1016/j.egypro.2014.12.090

A framework for self-healing smart grid with incorporation of multi-agents

Shiwei Xia, Xiao Luo, Ka Wing Chan

The Hong Kong Polytechnic University

Research output: Journal article publication › Conference article › Academic research › peer-review

10 Citations (Scopus)

Abstract

A hierarchical framework incorporated with multi-agents is proposed for enabling the self-healing of smart grid. While the central control agent in the upper layer adopts the multiple-step Taylor series function (MTSF) method to efficiently predict the system stability using wide area measurement system (WAMS) data, agents with shared information in the lower layer protect the devices in plug-in micro grids more effectively and adaptively compared with traditional protection. The proposed framework shows the self-healing capability for ensuring the security of smart grid by reliably preventing faults and flexibly coordinating generations. Simulation results of modified WSCC 3-generator system with plug-in micro grids have confirmed the validity of the proposed framework.

Original language	English
Pages (from-to)	2123-2126
Number of pages	4
Journal	Energy Procedia
Volume	61
DOIs	https://doi.org/10.1016/j.egypro.2014.12.090
Publication status	Published - 1 Jan 2014
Event	6th International Conference on Applied Energy, ICAE 2014 - National Taiwan University of Science and Technology, Taipei, Taiwan Duration: 30 May 2014 → 2 Jun 2014

Keywords

Multi-Agents
Multiple-step Taylor Series Function
Self-healing
Smart Grid

ASJC Scopus subject areas

General Energy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1016/j.egypro.2014.12.090

http://hdl.handle.net/10397/12253

Cite this

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abstract = "A hierarchical framework incorporated with multi-agents is proposed for enabling the self-healing of smart grid. While the central control agent in the upper layer adopts the multiple-step Taylor series function (MTSF) method to efficiently predict the system stability using wide area measurement system (WAMS) data, agents with shared information in the lower layer protect the devices in plug-in micro grids more effectively and adaptively compared with traditional protection. The proposed framework shows the self-healing capability for ensuring the security of smart grid by reliably preventing faults and flexibly coordinating generations. Simulation results of modified WSCC 3-generator system with plug-in micro grids have confirmed the validity of the proposed framework.",

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AU - Luo, Xiao

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AB - A hierarchical framework incorporated with multi-agents is proposed for enabling the self-healing of smart grid. While the central control agent in the upper layer adopts the multiple-step Taylor series function (MTSF) method to efficiently predict the system stability using wide area measurement system (WAMS) data, agents with shared information in the lower layer protect the devices in plug-in micro grids more effectively and adaptively compared with traditional protection. The proposed framework shows the self-healing capability for ensuring the security of smart grid by reliably preventing faults and flexibly coordinating generations. Simulation results of modified WSCC 3-generator system with plug-in micro grids have confirmed the validity of the proposed framework.

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KW - Multiple-step Taylor Series Function

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KW - Smart Grid

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M3 - Conference article

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EP - 2126

JO - Energy Procedia

JF - Energy Procedia

T2 - 6th International Conference on Applied Energy, ICAE 2014

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A framework for self-healing smart grid with incorporation of multi-agents

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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