Large-Consumer Energy Procurement Optimization Using a Hybrid IGDT-Stochastic Approach

Ramin Nourollahi; Masoud Agabalaye-Rahvar; Kazem Zare; Amjad Anvari-Moghaddam; Ali Farzamnia

doi:10.1109/SGC54087.2021.9664164

Large-Consumer Energy Procurement Optimization Using a Hybrid IGDT-Stochastic Approach

Ramin Nourollahi, Masoud Agabalaye-Rahvar, Kazem Zare, Amjad Anvari-Moghaddam, Ali Farzamnia

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

2 Citations (Scopus)

Abstract

The large electricity consumer (LEC) problem has been increasingly getting noticed from various viewpoints in recent years. Decreasing the total operation cost (TOC) of LEC with multi-energy procurement sources (MEPSs) is considered as a main objective for the decision-maker. So, to this end, in this paper, MEPSs contain pool market (PM), bilateral contracts (BCs), renewable energy sources (RESs), i.e., photovoltaic panels (PVs) and wind turbines (WTs), distributed generations (DGs), and also energy storage systems (ESSs). The flexible reducing expected cost of LEC, which is integrated into the presented model, is the demand response program (DRP). Also, to accommodate the uncertain nature of the output powers of RESs, demand, and electricity market price, a hybrid information-gap decision theory (IGDT)-stochastic approach is proposed in the current work. Finally, a case study is considered to apply the proposed mixed-integer linear programming (MILP) model and then investigate the presence of DRP in both risk-averse strategy (RAS) and risk-seeker strategy (RSS) for the LEC taken problem. Simulation results are obtained from CPLEX solver under GAMS optimization software indicate the potentiality and effectiveness of the introduced approach.

Original language	English
Title of host publication	2021 11th Smart Grid Conference, SGC 2021
Publisher	IEEE
Publication date	2021
Article number	9664164
ISBN (Print)	978-1-6654-0166-1
ISBN (Electronic)	978-1-6654-0165-4
DOIs	https://doi.org/10.1109/SGC54087.2021.9664164
Publication status	Published - 2021
Event	2021 11th Smart Grid Conference, SGC 2021 - Tabriz, Iran, Islamic Republic of Duration: 7 Dec 2021 → 9 Dec 2021

Conference

Conference	2021 11th Smart Grid Conference, SGC 2021
Country/Territory	Iran, Islamic Republic of
City	Tabriz
Period	07/12/2021 → 09/12/2021

Series	Smart Grid Conference (SGC)
ISSN	2572-6927

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

bilateral contracts (BCs)
demand response program (DRP)
Large electricity consumer (LEC)
renewable energy sources (RESs)
risk-averse strategy (RAS)
risk-seeker strategy (RSS)
uncertainty modeling

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10.1109/SGC54087.2021.9664164

AUB Link

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Cite this

@inproceedings{69753da5961b450195a224764ec4cfab,

title = "Large-Consumer Energy Procurement Optimization Using a Hybrid IGDT-Stochastic Approach",

abstract = "The large electricity consumer (LEC) problem has been increasingly getting noticed from various viewpoints in recent years. Decreasing the total operation cost (TOC) of LEC with multi-energy procurement sources (MEPSs) is considered as a main objective for the decision-maker. So, to this end, in this paper, MEPSs contain pool market (PM), bilateral contracts (BCs), renewable energy sources (RESs), i.e., photovoltaic panels (PVs) and wind turbines (WTs), distributed generations (DGs), and also energy storage systems (ESSs). The flexible reducing expected cost of LEC, which is integrated into the presented model, is the demand response program (DRP). Also, to accommodate the uncertain nature of the output powers of RESs, demand, and electricity market price, a hybrid information-gap decision theory (IGDT)-stochastic approach is proposed in the current work. Finally, a case study is considered to apply the proposed mixed-integer linear programming (MILP) model and then investigate the presence of DRP in both risk-averse strategy (RAS) and risk-seeker strategy (RSS) for the LEC taken problem. Simulation results are obtained from CPLEX solver under GAMS optimization software indicate the potentiality and effectiveness of the introduced approach. ",

keywords = "bilateral contracts (BCs), demand response program (DRP), Large electricity consumer (LEC), renewable energy sources (RESs), risk-averse strategy (RAS), risk-seeker strategy (RSS), uncertainty modeling",

author = "Ramin Nourollahi and Masoud Agabalaye-Rahvar and Kazem Zare and Amjad Anvari-Moghaddam and Ali Farzamnia",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 11th Smart Grid Conference, SGC 2021 ; Conference date: 07-12-2021 Through 09-12-2021",

year = "2021",

doi = "10.1109/SGC54087.2021.9664164",

language = "English",

isbn = "978-1-6654-0166-1",

series = "Smart Grid Conference (SGC)",

publisher = "IEEE",

booktitle = "2021 11th Smart Grid Conference, SGC 2021",

address = "United States",

}

Nourollahi, R, Agabalaye-Rahvar, M, Zare, K, Anvari-Moghaddam, A & Farzamnia, A 2021, Large-Consumer Energy Procurement Optimization Using a Hybrid IGDT-Stochastic Approach. in 2021 11th Smart Grid Conference, SGC 2021., 9664164, IEEE, Smart Grid Conference (SGC), 2021 11th Smart Grid Conference, SGC 2021, Tabriz, Iran, Islamic Republic of, 07/12/2021. https://doi.org/10.1109/SGC54087.2021.9664164

Large-Consumer Energy Procurement Optimization Using a Hybrid IGDT-Stochastic Approach. / Nourollahi, Ramin; Agabalaye-Rahvar, Masoud; Zare, Kazem et al.
2021 11th Smart Grid Conference, SGC 2021. IEEE, 2021. 9664164 (Smart Grid Conference (SGC)).

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

TY - GEN

T1 - Large-Consumer Energy Procurement Optimization Using a Hybrid IGDT-Stochastic Approach

AU - Nourollahi, Ramin

AU - Agabalaye-Rahvar, Masoud

AU - Zare, Kazem

AU - Anvari-Moghaddam, Amjad

AU - Farzamnia, Ali

PY - 2021

Y1 - 2021

N2 - The large electricity consumer (LEC) problem has been increasingly getting noticed from various viewpoints in recent years. Decreasing the total operation cost (TOC) of LEC with multi-energy procurement sources (MEPSs) is considered as a main objective for the decision-maker. So, to this end, in this paper, MEPSs contain pool market (PM), bilateral contracts (BCs), renewable energy sources (RESs), i.e., photovoltaic panels (PVs) and wind turbines (WTs), distributed generations (DGs), and also energy storage systems (ESSs). The flexible reducing expected cost of LEC, which is integrated into the presented model, is the demand response program (DRP). Also, to accommodate the uncertain nature of the output powers of RESs, demand, and electricity market price, a hybrid information-gap decision theory (IGDT)-stochastic approach is proposed in the current work. Finally, a case study is considered to apply the proposed mixed-integer linear programming (MILP) model and then investigate the presence of DRP in both risk-averse strategy (RAS) and risk-seeker strategy (RSS) for the LEC taken problem. Simulation results are obtained from CPLEX solver under GAMS optimization software indicate the potentiality and effectiveness of the introduced approach.

AB - The large electricity consumer (LEC) problem has been increasingly getting noticed from various viewpoints in recent years. Decreasing the total operation cost (TOC) of LEC with multi-energy procurement sources (MEPSs) is considered as a main objective for the decision-maker. So, to this end, in this paper, MEPSs contain pool market (PM), bilateral contracts (BCs), renewable energy sources (RESs), i.e., photovoltaic panels (PVs) and wind turbines (WTs), distributed generations (DGs), and also energy storage systems (ESSs). The flexible reducing expected cost of LEC, which is integrated into the presented model, is the demand response program (DRP). Also, to accommodate the uncertain nature of the output powers of RESs, demand, and electricity market price, a hybrid information-gap decision theory (IGDT)-stochastic approach is proposed in the current work. Finally, a case study is considered to apply the proposed mixed-integer linear programming (MILP) model and then investigate the presence of DRP in both risk-averse strategy (RAS) and risk-seeker strategy (RSS) for the LEC taken problem. Simulation results are obtained from CPLEX solver under GAMS optimization software indicate the potentiality and effectiveness of the introduced approach.

KW - bilateral contracts (BCs)

KW - demand response program (DRP)

KW - Large electricity consumer (LEC)

KW - renewable energy sources (RESs)

KW - risk-averse strategy (RAS)

KW - risk-seeker strategy (RSS)

KW - uncertainty modeling

UR - http://www.scopus.com/inward/record.url?scp=85124807678&partnerID=8YFLogxK

U2 - 10.1109/SGC54087.2021.9664164

DO - 10.1109/SGC54087.2021.9664164

M3 - Article in proceeding

AN - SCOPUS:85124807678

SN - 978-1-6654-0166-1

T3 - Smart Grid Conference (SGC)

BT - 2021 11th Smart Grid Conference, SGC 2021

PB - IEEE

T2 - 2021 11th Smart Grid Conference, SGC 2021

Y2 - 7 December 2021 through 9 December 2021

ER -

Large-Consumer Energy Procurement Optimization Using a Hybrid IGDT-Stochastic Approach

Abstract

Conference

Bibliographical note

Keywords

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AUB Link

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Continuous-time Modeling of Integrated Energy Systems

Integrated Energy Systems Laboratory

Cite this

Large-Consumer Energy Procurement Optimization Using a Hybrid IGDT-Stochastic Approach

Abstract

Conference

Bibliographical note

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

Continuous-time Modeling of Integrated Energy Systems

Equipment

Integrated Energy Systems Laboratory

Cite this