A comprehensive multi-objective design for optimal load restoration

M. R. Esmaili; Ehsan Heydarian-Forushani; Ameena Saad Al-Sumaiti; Hasan Haes Alhelou

doi:10.1109/IECON43393.2020.9254796

A comprehensive multi-objective design for optimal load restoration

M. R. Esmaili, Ehsan Heydarian-Forushani, Ameena Saad Al-Sumaiti, Hasan Haes Alhelou

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

Load restoration procedure alongside synchronization of parallel subsystems taking into account the impacts of cold loads has attracted significant attention particularly from system operators' point of view to perform the restoration process in a short time. This paper presents a novel framework to coordinate the load restoration and standing phase angle (SPA) reduction problems with the aim of determining the optimal restorable load amount at each load point considering effect of temperature on the load pickup process. The objective function includes three terms including minimization of energy not supplied (ENS), SPA and the total recovered energy in all stages of load restoration process. Due to conflict of the objectives, a multi-objective model has been developed and the Pareto frontier has been constructed through craw search algorithm (CSA). To assess the effectiveness of the model, a 32 bus power system has been selected. The obtained results confirms the model validity.

Original language	English
Title of host publication	Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
Editors	Xing Zhu, Daswin de Silva
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2519-2524
Number of pages	6
ISBN (Electronic)	9781728154145, 9781728154138
ISBN (Print)	9781728154152
DOIs	https://doi.org/10.1109/IECON43393.2020.9254796
Publication status	Published - 2020
Externally published	Yes
Event	Annual Conference of the IEEE Industrial Electronics Society 2020 - Virtual, Singapore, Singapore Duration: 19 Oct 2020 → 21 Oct 2020 Conference number: 46th https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/9254213/proceeding (Proceedings)

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Publisher	Institute of Electrical and Electronics Engineers, Inc.
Volume	2020-October
ISSN (Print)	1553-572X
ISSN (Electronic)	2577-1647

Conference

Conference	Annual Conference of the IEEE Industrial Electronics Society 2020
Abbreviated title	IECON 2020
Country/Territory	Singapore
City	Singapore
Period	19/10/20 → 21/10/20
Internet address	https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/9254213/proceeding (Proceedings)

Keywords

Crow search Algorithm
Load restoration
Multi-objective design
Pareto optimal set
Standing Phase Angle reduction

Access to Document

10.1109/IECON43393.2020.9254796

Cite this

Esmaili, M. R., Heydarian-Forushani, E., Saad Al-Sumaiti, A., & Haes Alhelou, H. (2020). A comprehensive multi-objective design for optimal load restoration. In X. Zhu, & D. de Silva (Eds.), Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 2519-2524). (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IECON43393.2020.9254796

Esmaili, M. R. ; Heydarian-Forushani, Ehsan ; Saad Al-Sumaiti, Ameena et al. / A comprehensive multi-objective design for optimal load restoration. Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. editor / Xing Zhu ; Daswin de Silva. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2020. pp. 2519-2524 (IECON Proceedings (Industrial Electronics Conference)).

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title = "A comprehensive multi-objective design for optimal load restoration",

abstract = "Load restoration procedure alongside synchronization of parallel subsystems taking into account the impacts of cold loads has attracted significant attention particularly from system operators' point of view to perform the restoration process in a short time. This paper presents a novel framework to coordinate the load restoration and standing phase angle (SPA) reduction problems with the aim of determining the optimal restorable load amount at each load point considering effect of temperature on the load pickup process. The objective function includes three terms including minimization of energy not supplied (ENS), SPA and the total recovered energy in all stages of load restoration process. Due to conflict of the objectives, a multi-objective model has been developed and the Pareto frontier has been constructed through craw search algorithm (CSA). To assess the effectiveness of the model, a 32 bus power system has been selected. The obtained results confirms the model validity.",

keywords = "Crow search Algorithm, Load restoration, Multi-objective design, Pareto optimal set, Standing Phase Angle reduction",

author = "Esmaili, {M. R.} and Ehsan Heydarian-Forushani and {Saad Al-Sumaiti}, Ameena and {Haes Alhelou}, Hasan",

note = "Funding Information: ACKNOWLEDGEMENT This research work is supported by Khalifa University, Abu Dhabi, UAE under award number-FSU-2018-25. Publisher Copyright: {\textcopyright} 2020 IEEE.; Annual Conference of the IEEE Industrial Electronics Society 2020, IECON 2020 ; Conference date: 19-10-2020 Through 21-10-2020",

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Esmaili, MR, Heydarian-Forushani, E, Saad Al-Sumaiti, A & Haes Alhelou, H 2020, A comprehensive multi-objective design for optimal load restoration. in X Zhu & D de Silva (eds), Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), vol. 2020-October, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 2519-2524, Annual Conference of the IEEE Industrial Electronics Society 2020, Singapore, Singapore, 19/10/20. https://doi.org/10.1109/IECON43393.2020.9254796

A comprehensive multi-objective design for optimal load restoration. / Esmaili, M. R.; Heydarian-Forushani, Ehsan; Saad Al-Sumaiti, Ameena et al.
Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. ed. / Xing Zhu; Daswin de Silva. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 2519-2524 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - A comprehensive multi-objective design for optimal load restoration

AU - Esmaili, M. R.

AU - Heydarian-Forushani, Ehsan

AU - Saad Al-Sumaiti, Ameena

AU - Haes Alhelou, Hasan

N1 - Conference code: 46th

PY - 2020

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N2 - Load restoration procedure alongside synchronization of parallel subsystems taking into account the impacts of cold loads has attracted significant attention particularly from system operators' point of view to perform the restoration process in a short time. This paper presents a novel framework to coordinate the load restoration and standing phase angle (SPA) reduction problems with the aim of determining the optimal restorable load amount at each load point considering effect of temperature on the load pickup process. The objective function includes three terms including minimization of energy not supplied (ENS), SPA and the total recovered energy in all stages of load restoration process. Due to conflict of the objectives, a multi-objective model has been developed and the Pareto frontier has been constructed through craw search algorithm (CSA). To assess the effectiveness of the model, a 32 bus power system has been selected. The obtained results confirms the model validity.

AB - Load restoration procedure alongside synchronization of parallel subsystems taking into account the impacts of cold loads has attracted significant attention particularly from system operators' point of view to perform the restoration process in a short time. This paper presents a novel framework to coordinate the load restoration and standing phase angle (SPA) reduction problems with the aim of determining the optimal restorable load amount at each load point considering effect of temperature on the load pickup process. The objective function includes three terms including minimization of energy not supplied (ENS), SPA and the total recovered energy in all stages of load restoration process. Due to conflict of the objectives, a multi-objective model has been developed and the Pareto frontier has been constructed through craw search algorithm (CSA). To assess the effectiveness of the model, a 32 bus power system has been selected. The obtained results confirms the model validity.

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ER -

Esmaili MR, Heydarian-Forushani E, Saad Al-Sumaiti A, Haes Alhelou H. A comprehensive multi-objective design for optimal load restoration. In Zhu X, de Silva D, editors, Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2020. p. 2519-2524. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON43393.2020.9254796

A comprehensive multi-objective design for optimal load restoration

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Keywords

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