Grid resilience enhancement by reference shaping based on gray-box model

Tomonori Sadamoto; Masaki Inoue; Osamu Kaneko

doi:10.1541/ieejeiss.141.694

Grid resilience enhancement by reference shaping based on gray-box model

Tomonori Sadamoto, Masaki Inoue, Osamu Kaneko

Department of Applied Physics and Physico-Informatics

Research output: Contribution to journal › Article › peer-review

Abstract

We propose a new method for enhancing resiliency of power systems integrated with renewable power resources. In the proposed method, we design a resilience enhancer that shapes reference values, generated by existing any power flow computation scheme such as EDC, so that the influence of faults on power system dynamics can be appropriately mitigated. The design of the resilience enhancer is based on so-called gray-box modeling, which is a fusion of a few prior knowledge on the grid and data acquired in its healthy operation. The effectiveness of the proposed method is investigated through a three-machine system integrated with three solar farms.

Original language	English
Pages (from-to)	694-703
Number of pages	10
Journal	IEEJ Transactions on Electronics, Information and Systems
Volume	141
Issue number	5
DOIs	https://doi.org/10.1541/ieejeiss.141.694
Publication status	Published - 2021

Keywords

Gray-box model
Grid resilience
Reference signal shaping

ASJC Scopus subject areas

Electrical and Electronic Engineering

UN SDGs

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

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10.1541/ieejeiss.141.694

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abstract = "We propose a new method for enhancing resiliency of power systems integrated with renewable power resources. In the proposed method, we design a resilience enhancer that shapes reference values, generated by existing any power flow computation scheme such as EDC, so that the influence of faults on power system dynamics can be appropriately mitigated. The design of the resilience enhancer is based on so-called gray-box modeling, which is a fusion of a few prior knowledge on the grid and data acquired in its healthy operation. The effectiveness of the proposed method is investigated through a three-machine system integrated with three solar farms. ",

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AU - Inoue, Masaki

AU - Kaneko, Osamu

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N2 - We propose a new method for enhancing resiliency of power systems integrated with renewable power resources. In the proposed method, we design a resilience enhancer that shapes reference values, generated by existing any power flow computation scheme such as EDC, so that the influence of faults on power system dynamics can be appropriately mitigated. The design of the resilience enhancer is based on so-called gray-box modeling, which is a fusion of a few prior knowledge on the grid and data acquired in its healthy operation. The effectiveness of the proposed method is investigated through a three-machine system integrated with three solar farms.

AB - We propose a new method for enhancing resiliency of power systems integrated with renewable power resources. In the proposed method, we design a resilience enhancer that shapes reference values, generated by existing any power flow computation scheme such as EDC, so that the influence of faults on power system dynamics can be appropriately mitigated. The design of the resilience enhancer is based on so-called gray-box modeling, which is a fusion of a few prior knowledge on the grid and data acquired in its healthy operation. The effectiveness of the proposed method is investigated through a three-machine system integrated with three solar farms.

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KW - Reference signal shaping

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Grid resilience enhancement by reference shaping based on gray-box model

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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