An effective generator-allocating method to enhance the robustness of power grid

Xi Zhang; Chi Kong Tse

doi:10.1109/ISCAS.2016.7527330

An effective generator-allocating method to enhance the robustness of power grid

Xi Zhang
, Chi Kong Tse

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

As renewable energy plants are becoming more widely accessible, one trend of power grids' evolution is decentralization which poses many challenges for grid management. In this paper, we propose a generator allocation method, based on community structure detection, for placing decentralized generators. We take node-generator distance (DG) as an indicator of optimal generators' locations and the underlying community structure is detected with a series of iterating steps. Simulation results show that our method can effectively achieve satisfying allocation solutions as well as enhance the robustness of power systems.

Original language	English
Title of host publication	ISCAS 2016 - IEEE International Symposium on Circuits and Systems
Publisher	IEEE
Pages	674-677
Number of pages	4
Volume	2016-July
ISBN (Electronic)	9781479953400
DOIs	https://doi.org/10.1109/ISCAS.2016.7527330
Publication status	Published - 29 Jul 2016
Event	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal's Sheraton Centre, Montreal, Canada Duration: 22 May 2016 → 25 May 2016

Conference

Conference	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Country/Territory	Canada
City	Montreal
Period	22/05/16 → 25/05/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

Electrical and Electronic Engineering

More information

10.1109/ISCAS.2016.7527330

Cite this

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title = "An effective generator-allocating method to enhance the robustness of power grid",

abstract = "As renewable energy plants are becoming more widely accessible, one trend of power grids' evolution is decentralization which poses many challenges for grid management. In this paper, we propose a generator allocation method, based on community structure detection, for placing decentralized generators. We take node-generator distance (DG) as an indicator of optimal generators' locations and the underlying community structure is detected with a series of iterating steps. Simulation results show that our method can effectively achieve satisfying allocation solutions as well as enhance the robustness of power systems.",

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An effective generator-allocating method to enhance the robustness of power grid. / Zhang, Xi; Tse, Chi Kong.
ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Vol. 2016-July IEEE, 2016. p. 674-677 7527330.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - As renewable energy plants are becoming more widely accessible, one trend of power grids' evolution is decentralization which poses many challenges for grid management. In this paper, we propose a generator allocation method, based on community structure detection, for placing decentralized generators. We take node-generator distance (DG) as an indicator of optimal generators' locations and the underlying community structure is detected with a series of iterating steps. Simulation results show that our method can effectively achieve satisfying allocation solutions as well as enhance the robustness of power systems.

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BT - ISCAS 2016 - IEEE International Symposium on Circuits and Systems

PB - IEEE

T2 - 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016

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ER -

An effective generator-allocating method to enhance the robustness of power grid

Abstract

Conference

UN SDGs

ASJC Scopus subject areas

More information

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