Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties

Arsalan Najafi; Sanaz  Salari; Mousa Marzband; Ameena  Saad Al-Sumaiti; Edris Pouresmaeil

doi:10.1109/UPEC.2018.8542037

Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties

Arsalan Najafi, Sanaz Salari, Mousa Marzband, Ameena Saad Al-Sumaiti, Edris Pouresmaeil

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

Abstract

Seeking an economical way is the main goal of consumers in order to procure their electricity in a competitive electricity market. To achieve this goal, consumers participate in a day ahead or a real time electricity market along with delivering the output power of their distributed generation (DG) resources. Hence, this paper proposes a new model to procure the electricity of large consumers considering the prices uncertainties and the tidal power generators. In the proposed model, uncertainties are taken into account using a two stage stochastic programming method. The conditional value at risk (CVaR) as a risk index is utilized for decreasing the undesirable effects of uncertainties. The quality of the proposed approach is examined by doing simulations on a test case based upon the semi-real data.

Original language	English
Title of host publication	Proceedings of the 53rd International Universities Power Engineering Conference, UPEC 2018
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	978-1-5386-2910-9
DOIs	https://doi.org/10.1109/UPEC.2018.8542037
Publication status	Published - 2018
MoE publication type	A4 Conference publication
Event	International Universities Power Engineering Conference - Glasgow, United Kingdom Duration: 4 Sept 2018 → 7 Sept 2018 Conference number: 53

Conference

Conference	International Universities Power Engineering Conference
Abbreviated title	UPEC
Country/Territory	United Kingdom
City	Glasgow
Period	04/09/2018 → 07/09/2018

Keywords

stochastic programming
tidal power
large consumers
CVaR

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10.1109/UPEC.2018.8542037

Cite this

@inproceedings{65a18030823a4b8b977e321ca0f3a46e,

title = "Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties",

abstract = "Seeking an economical way is the main goal of consumers in order to procure their electricity in a competitive electricity market. To achieve this goal, consumers participate in a day ahead or a real time electricity market along with delivering the output power of their distributed generation (DG) resources. Hence, this paper proposes a new model to procure the electricity of large consumers considering the prices uncertainties and the tidal power generators. In the proposed model, uncertainties are taken into account using a two stage stochastic programming method. The conditional value at risk (CVaR) as a risk index is utilized for decreasing the undesirable effects of uncertainties. The quality of the proposed approach is examined by doing simulations on a test case based upon the semi-real data.",

keywords = "stochastic programming, tidal power, large consumers, CVaR",

author = "Arsalan Najafi and Sanaz Salari and Mousa Marzband and {Saad Al-Sumaiti}, Ameena and Edris Pouresmaeil",

year = "2018",

doi = "10.1109/UPEC.2018.8542037",

language = "English",

booktitle = "Proceedings of the 53rd International Universities Power Engineering Conference, UPEC 2018",

publisher = "IEEE",

address = "United States",

note = "International Universities Power Engineering Conference, UPEC ; Conference date: 04-09-2018 Through 07-09-2018",

}

Najafi, A, Salari, S, Marzband, M, Saad Al-Sumaiti, A & Pouresmaeil, E 2018, Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties. in Proceedings of the 53rd International Universities Power Engineering Conference, UPEC 2018. IEEE, International Universities Power Engineering Conference, Glasgow, United Kingdom, 04/09/2018. https://doi.org/10.1109/UPEC.2018.8542037

Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties. / Najafi, Arsalan; Salari, Sanaz ; Marzband, Mousa et al.
Proceedings of the 53rd International Universities Power Engineering Conference, UPEC 2018. IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties

AU - Najafi, Arsalan

AU - Salari, Sanaz

AU - Marzband, Mousa

AU - Saad Al-Sumaiti, Ameena

AU - Pouresmaeil, Edris

N1 - Conference code: 53

PY - 2018

Y1 - 2018

N2 - Seeking an economical way is the main goal of consumers in order to procure their electricity in a competitive electricity market. To achieve this goal, consumers participate in a day ahead or a real time electricity market along with delivering the output power of their distributed generation (DG) resources. Hence, this paper proposes a new model to procure the electricity of large consumers considering the prices uncertainties and the tidal power generators. In the proposed model, uncertainties are taken into account using a two stage stochastic programming method. The conditional value at risk (CVaR) as a risk index is utilized for decreasing the undesirable effects of uncertainties. The quality of the proposed approach is examined by doing simulations on a test case based upon the semi-real data.

AB - Seeking an economical way is the main goal of consumers in order to procure their electricity in a competitive electricity market. To achieve this goal, consumers participate in a day ahead or a real time electricity market along with delivering the output power of their distributed generation (DG) resources. Hence, this paper proposes a new model to procure the electricity of large consumers considering the prices uncertainties and the tidal power generators. In the proposed model, uncertainties are taken into account using a two stage stochastic programming method. The conditional value at risk (CVaR) as a risk index is utilized for decreasing the undesirable effects of uncertainties. The quality of the proposed approach is examined by doing simulations on a test case based upon the semi-real data.

KW - stochastic programming

KW - tidal power

KW - large consumers

KW - CVaR

U2 - 10.1109/UPEC.2018.8542037

DO - 10.1109/UPEC.2018.8542037

M3 - Conference article in proceedings

BT - Proceedings of the 53rd International Universities Power Engineering Conference, UPEC 2018

PB - IEEE

T2 - International Universities Power Engineering Conference

Y2 - 4 September 2018 through 7 September 2018

ER -

Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties

Abstract

Conference

Keywords

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