Optimal Scheduling of Hybrid AC-DC MG using Information Gap Decision Theory

Ramin  Nourollahi; Kazem Zare; Behnam Mohammadi-ivatloo; Amjad Anvari-Moghaddam

doi:10.1109/ICRERA52334.2021.9598633

Optimal Scheduling of Hybrid AC-DC MG using Information Gap Decision Theory

Ramin Nourollahi, Kazem Zare, Behnam Mohammadi-ivatloo, Amjad Anvari-Moghaddam

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

4 Citations (Scopus)

Abstract

In this paper, a hybrid AC/DC (HAC-DC) MG has been considered and energy management and short-term scheduling of this MG are proposed. In addition, pool market price uncertainty, which is an important challenge in grid-connected MGs, is considered in this paper for both MGs using an information gap decision theory (IGDT) method. The obtained result illustrates some of the main advantages of the HAC-DC MG in conservative (risk-averse), regular risk (risk-neutral), and risky (risk-taker) procedures. The obtained results show that by applying the IGDT approach to the proposed model, in the conservative (risk-averse) strategy, for about 10% increase in the pool market price, the total cost will increase by 2.37 % and 1.38 % in the conventional AC MG and HAC-DC MG, respectively. On the other hand, in the risk-taker (risky) strategy for 10% pool market price reduction, total costs will be reduced by 4.75 % and 3.9 % in the conventional AC MG and HAC-DC MG, respectively.

Original language	English
Title of host publication	10th International Conference on Renewable Energy Research and Application : ICRERA 2021
Publisher	IEEE Press
Publication date	2021
Pages	239-243
ISBN (Print)	978-1-6654-4525-2
ISBN (Electronic)	978-1-6654-4524-5
DOIs	https://doi.org/10.1109/ICRERA52334.2021.9598633
Publication status	Published - 2021
Event	2021 10th International Conference on Renewable Energy Research and Application (ICRERA) - Istanbul, Turkey Duration: 26 Sept 2021 → 29 Sept 2021

Conference

Conference	2021 10th International Conference on Renewable Energy Research and Application (ICRERA)
Country/Territory	Turkey
City	Istanbul
Period	26/09/2021 → 29/09/2021

Series	International Conference on Renewable Energy Research and Applications (ICRERA)
ISSN	2377-6897

Keywords

Hybrid AC-DC microgrid
Renewable energies
Uncertainty management
Information gap decision theory (IGDT)

Access to Document

10.1109/ICRERA52334.2021.9598633

AUB Link

Search for the material in Aalborg University Library's search engine

Continuous-time Modeling of Integrated Energy Systems
Nourollahi, R., Zare, K., Mohammadi-Ivatloo, B., Vahidinasab, V. & Anvari-Moghaddam, A.
01/09/2019 → 01/07/2023
Project: PhD Project
HeatReFlex: Green and Flexible District Heating/Cooling
Anvari-Moghaddam, A., Guerrero, J. M., Nami, H. & Mohammadiivatloo, B.
Danida Fellowship Centre
01/05/2019 → 30/04/2022
Project: Research

Integrated Energy Systems Laboratory
AAU Energy
Facility: Laboratory

Cite this

@inproceedings{3f1753f7537e4c459cba47cd25193c2e,

title = "Optimal Scheduling of Hybrid AC-DC MG using Information Gap Decision Theory",

abstract = "In this paper, a hybrid AC/DC (HAC-DC) MG has been considered and energy management and short-term scheduling of this MG are proposed. In addition, pool market price uncertainty, which is an important challenge in grid-connected MGs, is considered in this paper for both MGs using an information gap decision theory (IGDT) method. The obtained result illustrates some of the main advantages of the HAC-DC MG in conservative (risk-averse), regular risk (risk-neutral), and risky (risk-taker) procedures. The obtained results show that by applying the IGDT approach to the proposed model, in the conservative (risk-averse) strategy, for about 10% increase in the pool market price, the total cost will increase by 2.37 % and 1.38 % in the conventional AC MG and HAC-DC MG, respectively. On the other hand, in the risk-taker (risky) strategy for 10% pool market price reduction, total costs will be reduced by 4.75 % and 3.9 % in the conventional AC MG and HAC-DC MG, respectively.",

keywords = "Hybrid AC-DC microgrid, Renewable energies, Uncertainty management, Information gap decision theory (IGDT)",

author = "Ramin Nourollahi and Kazem Zare and Behnam Mohammadi-ivatloo and Amjad Anvari-Moghaddam",

year = "2021",

doi = "10.1109/ICRERA52334.2021.9598633",

language = "English",

isbn = "978-1-6654-4525-2",

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pages = "239--243",

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Nourollahi, R, Zare, K, Mohammadi-ivatloo, B & Anvari-Moghaddam, A 2021, Optimal Scheduling of Hybrid AC-DC MG using Information Gap Decision Theory. in 10th International Conference on Renewable Energy Research and Application : ICRERA 2021. IEEE Press, International Conference on Renewable Energy Research and Applications (ICRERA), pp. 239-243, 2021 10th International Conference on Renewable Energy Research and Application (ICRERA), Istanbul, Turkey, 26/09/2021. https://doi.org/10.1109/ICRERA52334.2021.9598633

Optimal Scheduling of Hybrid AC-DC MG using Information Gap Decision Theory. / Nourollahi, Ramin ; Zare, Kazem; Mohammadi-ivatloo, Behnam et al.
10th International Conference on Renewable Energy Research and Application : ICRERA 2021. IEEE Press, 2021. p. 239-243 (International Conference on Renewable Energy Research and Applications (ICRERA)).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Optimal Scheduling of Hybrid AC-DC MG using Information Gap Decision Theory

AU - Nourollahi, Ramin

AU - Zare, Kazem

AU - Mohammadi-ivatloo, Behnam

AU - Anvari-Moghaddam, Amjad

PY - 2021

Y1 - 2021

N2 - In this paper, a hybrid AC/DC (HAC-DC) MG has been considered and energy management and short-term scheduling of this MG are proposed. In addition, pool market price uncertainty, which is an important challenge in grid-connected MGs, is considered in this paper for both MGs using an information gap decision theory (IGDT) method. The obtained result illustrates some of the main advantages of the HAC-DC MG in conservative (risk-averse), regular risk (risk-neutral), and risky (risk-taker) procedures. The obtained results show that by applying the IGDT approach to the proposed model, in the conservative (risk-averse) strategy, for about 10% increase in the pool market price, the total cost will increase by 2.37 % and 1.38 % in the conventional AC MG and HAC-DC MG, respectively. On the other hand, in the risk-taker (risky) strategy for 10% pool market price reduction, total costs will be reduced by 4.75 % and 3.9 % in the conventional AC MG and HAC-DC MG, respectively.

AB - In this paper, a hybrid AC/DC (HAC-DC) MG has been considered and energy management and short-term scheduling of this MG are proposed. In addition, pool market price uncertainty, which is an important challenge in grid-connected MGs, is considered in this paper for both MGs using an information gap decision theory (IGDT) method. The obtained result illustrates some of the main advantages of the HAC-DC MG in conservative (risk-averse), regular risk (risk-neutral), and risky (risk-taker) procedures. The obtained results show that by applying the IGDT approach to the proposed model, in the conservative (risk-averse) strategy, for about 10% increase in the pool market price, the total cost will increase by 2.37 % and 1.38 % in the conventional AC MG and HAC-DC MG, respectively. On the other hand, in the risk-taker (risky) strategy for 10% pool market price reduction, total costs will be reduced by 4.75 % and 3.9 % in the conventional AC MG and HAC-DC MG, respectively.

KW - Hybrid AC-DC microgrid

KW - Renewable energies

KW - Uncertainty management

KW - Information gap decision theory (IGDT)

U2 - 10.1109/ICRERA52334.2021.9598633

DO - 10.1109/ICRERA52334.2021.9598633

M3 - Article in proceeding

SN - 978-1-6654-4525-2

T3 - International Conference on Renewable Energy Research and Applications (ICRERA)

SP - 239

EP - 243

BT - 10th International Conference on Renewable Energy Research and Application

PB - IEEE Press

T2 - 2021 10th International Conference on Renewable Energy Research and Application (ICRERA)

Y2 - 26 September 2021 through 29 September 2021

ER -

Nourollahi R, Zare K, Mohammadi-ivatloo B, Anvari-Moghaddam A. Optimal Scheduling of Hybrid AC-DC MG using Information Gap Decision Theory. In 10th International Conference on Renewable Energy Research and Application : ICRERA 2021. IEEE Press. 2021. p. 239-243. (International Conference on Renewable Energy Research and Applications (ICRERA)). doi: 10.1109/ICRERA52334.2021.9598633

Optimal Scheduling of Hybrid AC-DC MG using Information Gap Decision Theory

Abstract

Conference

Keywords

Access to Document

AUB Link

Fingerprint

Projects

Continuous-time Modeling of Integrated Energy Systems

HeatReFlex: Green and Flexible District Heating/Cooling

Equipment

Integrated Energy Systems Laboratory

Cite this