Improving the Dynamic Stability of Power Grids Including Offshore Wind Farms and Equipped with HVDC Transmission System Using Adaptive Neural Controller

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.

Hamidi Abdolkhalegh; Beiza Jamal; Abedinzadeh Taher; Daghigh Ali

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

Journal Paper

Paper Information

Journal: Journal of Intelligent Procedures in Electrical Technology Year:2020 | Volume:11 | Issue:42 Page(s): 79-99

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Improving the Dynamic Stability of Power Grids Including Offshore Wind Farms and Equipped with HVDC Transmission System Using Adaptive Neural Controller

Author(s)

Hamidi Abdolkhalegh | Beiza Jamal | Abedinzadeh Taher | Daghigh Ali | Issue Writer Certificate

Keywords

Stability of power system

adaptive neurotransmitter

offshore wind farms

HVDC system

Abstract

The purpose of this paper is to improve the dynamic Stability of power systems equipped with offshore wind farms and HVDC transmission lines. Since wind farms are affected by environmental factors and cannot have a constant production capacity, the effect of wind turbine and HVDC system on power oscillation mode is investigated and a suitable solution for selecting input-output signals and stabilizing complementary controller design is proposed. In the proposed method, using the concepts of controllability, observability and decomposition of single values, the best path for the design of the complementary controller is selected among the input-output signals, then the stabilizer controller is designed based on neural networks and to improve frequency Stability-Voltage is used. The simulation results show that the proposed controller performs better than the classical controllers in terms of response speed, settling time, and voltage fluctuations in the presence of disturbances and confirms the performance of the selected control system.

Cites

No record.

References

No record.

Cite

APA: Copy

Hamidi, Abdolkhalegh, Beiza, Jamal, Abedinzadeh, Taher, & Daghigh, Ali. (2020). Improving the Dynamic Stability of Power Grids Including Offshore Wind Farms and Equipped with HVDC Transmission System Using Adaptive Neural Controller. JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY, 11(42 ), 79-99. SID. https://sid.ir/paper/780889/en

Vancouver: Copy

Hamidi Abdolkhalegh, Beiza Jamal, Abedinzadeh Taher, Daghigh Ali. Improving the Dynamic Stability of Power Grids Including Offshore Wind Farms and Equipped with HVDC Transmission System Using Adaptive Neural Controller. JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY[Internet]. 2020;11(42 ):79-99. Available from: https://sid.ir/paper/780889/en

IEEE: Copy

Abdolkhalegh Hamidi, Jamal Beiza, Taher Abedinzadeh, and Ali Daghigh, “Improving the Dynamic Stability of Power Grids Including Offshore Wind Farms and Equipped with HVDC Transmission System Using Adaptive Neural Controller,” JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY, vol. 11, no. 42 , pp. 79–99, 2020, [Online]. Available: https://sid.ir/paper/780889/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops