Determining Optimal Location and Capacity of Batteries for Enhancing Microgrid Resilience

Fericko Satya Wicaksana; Rony Seto Wibowo; Ni Ketut Aryani

doi:10.1109/ICPEA51500.2021.9417858

Determining Optimal Location and Capacity of Batteries for Enhancing Microgrid Resilience

Fericko Satya Wicaksana
, Rony Seto Wibowo
, Ni Ketut Aryani

Institut Teknologi Sepuluh Nopember

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

7 Citations (Scopus)

Abstract

Microgrid systems can experience prolonged outages, load shed, and also can affect the resilience of Microgrid, when there are unexpected contingencies due to human error or natural disasters. Integrating Battery Energy Storage (BES) is necessary to increase the resilience of the Microgrid system by recovery the load because it can act as an additional generator and can return the power supply to the load directly in the event of a contingency. Integration BES needs an optimal location and capacity determination plan. In this paper, by using the Hybrid Multi-Objective Particle Swarm Optimization (H-MOPSO) method which is a combination of Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm II (NSGA II) methods determine optimal BES placement. The objective function used in this research is to maximize annual benefits costs and minimize Load shedding under contingency conditions. This paper also uses Linear Distribution Factor (LODF) to calculate the security constraint of the Microgrid system, which will be used to manage the line limit.

Original language	English
Title of host publication	ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	62-67
Number of pages	6
ISBN (Electronic)	9781728185460
DOIs	https://doi.org/10.1109/ICPEA51500.2021.9417858
Publication status	Published - 8 Mar 2021
Event	2021 IEEE International Conference in Power Engineering Application, ICPEA 2021 - Virtual, Online, Malaysia Duration: 8 Mar 2021 → 9 Mar 2021

Publication series

Name	ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application

Conference

Conference	2021 IEEE International Conference in Power Engineering Application, ICPEA 2021
Country/Territory	Malaysia
City	Virtual, Online
Period	8/03/21 → 9/03/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Battery Energy Storage
Contingency
H-MOPSO
LODF
Resiliency

Access to Document

10.1109/ICPEA51500.2021.9417858

Cite this

Wicaksana, F. S., Wibowo, R. S., & Ketut Aryani, N. (2021). Determining Optimal Location and Capacity of Batteries for Enhancing Microgrid Resilience. In ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application (pp. 62-67). Article 9417858 (ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPEA51500.2021.9417858

Wicaksana, Fericko Satya ; Wibowo, Rony Seto ; Ketut Aryani, Ni. / Determining Optimal Location and Capacity of Batteries for Enhancing Microgrid Resilience. ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 62-67 (ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application).

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title = "Determining Optimal Location and Capacity of Batteries for Enhancing Microgrid Resilience",

abstract = "Microgrid systems can experience prolonged outages, load shed, and also can affect the resilience of Microgrid, when there are unexpected contingencies due to human error or natural disasters. Integrating Battery Energy Storage (BES) is necessary to increase the resilience of the Microgrid system by recovery the load because it can act as an additional generator and can return the power supply to the load directly in the event of a contingency. Integration BES needs an optimal location and capacity determination plan. In this paper, by using the Hybrid Multi-Objective Particle Swarm Optimization (H-MOPSO) method which is a combination of Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm II (NSGA II) methods determine optimal BES placement. The objective function used in this research is to maximize annual benefits costs and minimize Load shedding under contingency conditions. This paper also uses Linear Distribution Factor (LODF) to calculate the security constraint of the Microgrid system, which will be used to manage the line limit.",

keywords = "Battery Energy Storage, Contingency, H-MOPSO, LODF, Resiliency",

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Wicaksana, FS, Wibowo, RS & Ketut Aryani, N 2021, Determining Optimal Location and Capacity of Batteries for Enhancing Microgrid Resilience. in ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application., 9417858, ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application, Institute of Electrical and Electronics Engineers Inc., pp. 62-67, 2021 IEEE International Conference in Power Engineering Application, ICPEA 2021, Virtual, Online, Malaysia, 8/03/21. https://doi.org/10.1109/ICPEA51500.2021.9417858

Determining Optimal Location and Capacity of Batteries for Enhancing Microgrid Resilience. / Wicaksana, Fericko Satya; Wibowo, Rony Seto ; Ketut Aryani, Ni.
ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application. Institute of Electrical and Electronics Engineers Inc., 2021. p. 62-67 9417858 (ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application).

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

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AU - Wibowo, Rony Seto

AU - Ketut Aryani, Ni

PY - 2021/3/8

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N2 - Microgrid systems can experience prolonged outages, load shed, and also can affect the resilience of Microgrid, when there are unexpected contingencies due to human error or natural disasters. Integrating Battery Energy Storage (BES) is necessary to increase the resilience of the Microgrid system by recovery the load because it can act as an additional generator and can return the power supply to the load directly in the event of a contingency. Integration BES needs an optimal location and capacity determination plan. In this paper, by using the Hybrid Multi-Objective Particle Swarm Optimization (H-MOPSO) method which is a combination of Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm II (NSGA II) methods determine optimal BES placement. The objective function used in this research is to maximize annual benefits costs and minimize Load shedding under contingency conditions. This paper also uses Linear Distribution Factor (LODF) to calculate the security constraint of the Microgrid system, which will be used to manage the line limit.

AB - Microgrid systems can experience prolonged outages, load shed, and also can affect the resilience of Microgrid, when there are unexpected contingencies due to human error or natural disasters. Integrating Battery Energy Storage (BES) is necessary to increase the resilience of the Microgrid system by recovery the load because it can act as an additional generator and can return the power supply to the load directly in the event of a contingency. Integration BES needs an optimal location and capacity determination plan. In this paper, by using the Hybrid Multi-Objective Particle Swarm Optimization (H-MOPSO) method which is a combination of Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm II (NSGA II) methods determine optimal BES placement. The objective function used in this research is to maximize annual benefits costs and minimize Load shedding under contingency conditions. This paper also uses Linear Distribution Factor (LODF) to calculate the security constraint of the Microgrid system, which will be used to manage the line limit.

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KW - Resiliency

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference in Power Engineering Application, ICPEA 2021

Y2 - 8 March 2021 through 9 March 2021

ER -

Wicaksana FS, Wibowo RS , Ketut Aryani N. Determining Optimal Location and Capacity of Batteries for Enhancing Microgrid Resilience. In ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application. Institute of Electrical and Electronics Engineers Inc. 2021. p. 62-67. 9417858. (ICPEA 2021 - 2021 IEEE International Conference in Power Engineering Application). doi: 10.1109/ICPEA51500.2021.9417858

Determining Optimal Location and Capacity of Batteries for Enhancing Microgrid Resilience

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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