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

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

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

6 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 - 2018 53rd International Universities Power Engineering Conference, UPEC 2018
Publisher	IEEE
ISBN (Electronic)	9781538629109
DOIs	https://doi.org/10.1109/UPEC.2018.8542037
Publication status	Published - 13 Dec 2018
Event	53rd International Universities Power Engineering Conference, UPEC 2018 - Glasgow, United Kingdom Duration: 4 Sept 2018 → 7 Sept 2018

Conference

Conference	53rd International Universities Power Engineering Conference, UPEC 2018
Country/Territory	United Kingdom
City	Glasgow
Period	4/09/18 → 7/09/18

Keywords

CVaR
large consumers
stochastic programming
tidal power

UN SDGs

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

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10.1109/UPEC.2018.8542037

Cite this

@inproceedings{ab45693548044abc8b4ba3765883f0ba,

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

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

year = "2018",

month = dec,

day = "13",

doi = "10.1109/UPEC.2018.8542037",

language = "English",

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

publisher = "IEEE",

address = "United States",

note = "53rd International Universities Power Engineering Conference, UPEC 2018 ; Conference date: 04-09-2018 Through 07-09-2018",

}

Najafi, A, Salari, S, Marzband, M, Al-Sumaiti, AS & Pouresmaeil, E 2018, Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties. in Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018. IEEE, 53rd International Universities Power Engineering Conference, UPEC 2018, Glasgow, United Kingdom, 4/09/18. 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, Moosa et al.
Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018. IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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, Moosa

AU - Al-Sumaiti, Ameena Saad

AU - Pouresmaeil, Edris

PY - 2018/12/13

Y1 - 2018/12/13

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 - CVaR

KW - large consumers

KW - stochastic programming

KW - tidal power

UR - https://www.scopus.com/pages/publications/85059959430

U2 - 10.1109/UPEC.2018.8542037

DO - 10.1109/UPEC.2018.8542037

M3 - Conference contribution

AN - SCOPUS:85059959430

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

PB - IEEE

T2 - 53rd International Universities Power Engineering Conference, UPEC 2018

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

UN SDGs

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