OPTIMAL BIDDING STRATEGY OF WIND FARMS FOR JOINT OPERATION WITH OTHER ‎RENEWABLE RESOURCES IN POWER MARKET

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

PARASTEGARI MOEIN; HOOSHMAND RAHMATOLAH; KHODABAKHSHIAN AMIN; ZARE NEYESTANAK AMIR HOSSEIN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2015 | Volume:5 | Issue:4 Page(s): 45-62

Download Full-Text

Persian Verion

View:

1,058

Download:

Cites:

Information Journal Paper

Title

OPTIMAL BIDDING STRATEGY OF WIND FARMS FOR JOINT OPERATION WITH OTHER ‎RENEWABLE RESOURCES IN POWER MARKET

Author(s)

PARASTEGARI MOEIN | HOOSHMAND RAHMATOLAH | KHODABAKHSHIAN AMIN | ZARE NEYESTANAK AMIR HOSSEIN | Issue Writer Certificate

Keywords

OPTIMAL BIDDING STRATEGYQ2

WIND GENERATION PREDICTIONQ2

ARTIFICIAL NEURAL NETWORKQ2

WIND FARMQ2

‎RENEWABLE ENERGY RESOURCESQ2

Abstract

Optimal operation and bidding strategy of renewable units are two important problems of the restructured power market. In this paper, a new method for the joint operation of wind, photovoltaic and pump-storage units in day ahead power market is studied to increase the profit of joint units. In this study, ARTIFICIAL NEURAL NETWORK is used to predict the wind power generation of WIND FARMs. Since, there are uncertainties in energy and reserve prices, wind and photovoltaic power generation, the optimal operation of joint units can be modeled as a stochastic optimization problem. For this purpose, uncertainties of parameters are modeled by scenario tree method. The performance of the proposed method is evaluated on the renewable energy resources (wind farms, photovoltaic and pump-storage units) of the modified IEEE 118 bus test system. Results of the proposed joint operation of renewable resources confirm that the value of expected profit increases in comparison with uncoordinated operation (UO) of units.

Cites

No record.

References

No record.

Cite

APA: Copy

PARASTEGARI, MOEIN, HOOSHMAND, RAHMATOLAH, KHODABAKHSHIAN, AMIN, & ZARE NEYESTANAK, AMIR HOSSEIN. (2015). OPTIMAL BIDDING STRATEGY OF WIND FARMS FOR JOINT OPERATION WITH OTHER ‎RENEWABLE RESOURCES IN POWER MARKET. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 5(4), 45-62. SID. https://sid.ir/paper/203112/en

Vancouver: Copy

PARASTEGARI MOEIN, HOOSHMAND RAHMATOLAH, KHODABAKHSHIAN AMIN, ZARE NEYESTANAK AMIR HOSSEIN. OPTIMAL BIDDING STRATEGY OF WIND FARMS FOR JOINT OPERATION WITH OTHER ‎RENEWABLE RESOURCES IN POWER MARKET. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2015;5(4):45-62. Available from: https://sid.ir/paper/203112/en

IEEE: Copy

MOEIN PARASTEGARI, RAHMATOLAH HOOSHMAND, AMIN KHODABAKHSHIAN, and AMIR HOSSEIN ZARE NEYESTANAK, “OPTIMAL BIDDING STRATEGY OF WIND FARMS FOR JOINT OPERATION WITH OTHER ‎RENEWABLE RESOURCES IN POWER MARKET,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 5, no. 4, pp. 45–62, 2015, [Online]. Available: https://sid.ir/paper/203112/en

Related Journal Papers