An Optimal Approach for Determining Microgrid State of Connection to Utility with Local Information

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.

HATEFI TORSHIZI NADER; NAJAFI HAMID REZA; SABERI NOGHABI ABBAS

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

Journal Paper

Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2020 | Volume:50 | Issue:3 (93) Page(s): 1429-1440

Download Full-Text

Persian Verion

View:

138

Download:

Cites:

Information Journal Paper

Title

An Optimal Approach for Determining Microgrid State of Connection to Utility with Local Information

Author(s)

HATEFI TORSHIZI NADER | NAJAFI HAMID REZA | SABERI NOGHABI ABBAS | Issue Writer Certificate

Keywords

Genetic algorithm

islanding detection

local information

microgrid

reconnection

support vector machine

Abstract

For correct performance of protection and control systems in microgrids, the islanding conditions should be identified as soon as possible. In this paper, an optimal method is proposed to determine the input parameters of classification method by using local information. The goal of optimization is to minimizie the time and maximize the percision of microgrid connection state detection. Also, in classification method, three states, i. e. islanding, reconnecting to the utility and other events are considered. The objective function of this problem is defined as summation of weighted time factor and detection error. The inputs of the islanding detection problem can be a large number of network parameters such as frequency, voltage, current, power, their sequence components or the rate of change. Consequently, the variables of the classification problem are the number and type of input parameters of the classification problem. The Genetic algorithm is used to solve this optimal problem, and support vector machine is used for the classification. In order to assess the validity of the proposed method, different situations are considered for the operation of the grid, and in each case, different events are modeled. The results are compared with the methods of other papers, and the advantage of the suggested method is shown.

Cites

No record.

References

No record.

Cite

APA: Copy

HATEFI TORSHIZI, NADER, NAJAFI, HAMID REZA, & SABERI NOGHABI, ABBAS. (2020). An Optimal Approach for Determining Microgrid State of Connection to Utility with Local Information. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 50(3 (93) ), 1429-1440. SID. https://sid.ir/paper/954473/en

Vancouver: Copy

HATEFI TORSHIZI NADER, NAJAFI HAMID REZA, SABERI NOGHABI ABBAS. An Optimal Approach for Determining Microgrid State of Connection to Utility with Local Information. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;50(3 (93) ):1429-1440. Available from: https://sid.ir/paper/954473/en

IEEE: Copy

NADER HATEFI TORSHIZI, HAMID REZA NAJAFI, and ABBAS SABERI NOGHABI, “An Optimal Approach for Determining Microgrid State of Connection to Utility with Local Information,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 50, no. 3 (93) , pp. 1429–1440, 2020, [Online]. Available: https://sid.ir/paper/954473/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops