Design of hybrid energy systems using bat search optimization algorithm

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.

Goldoust Ali; Hojjat Mehrdad; Seyyedmahdavi Saeed

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

Journal Paper

Paper Information

Journal: IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP) Year:2022 | Volume:10 | Issue:4 ( 25) Page(s): 73-85

Download Full-Text

Persian Verion

View:

530

Download:

Cites:

Information Journal Paper

Title

Design of hybrid energy systems using bat search optimization algorithm

Author(s)

Goldoust Ali | Hojjat Mehrdad | Seyyedmahdavi Saeed | Issue Writer Certificate

Keywords

Bat search algorithm

solar panels

two-point estimation

wind turbine

battery storage

hybrid energy system

Combined heat and power (CHP) system

Abstract

This paper presents a framework for the optimal design of hybrid energy systems with a bat search optimization algorithm. wind turbines, solar panels, and combined heat and power (CHP) systems are considered power generators. The proposed framework can exchange power with the upstream network, taking into account the limitations of power exchange, the cost of installing wind turbines, solar panels, CHP systems, battery storage, and converters in the form of investment costs plus maintenance costs, CHP system fuel costs, expected load removal costs, and power exchange costs as target functions. Also, a complete set of constraints related to the hybrid energy system is included in the problem framework. Uncertainties related to the production capacity of wind turbines and solar panels along with the uncertainty of consumer power demand using the two-point estimation method are also considered in the proposed framework. The Bat search algorithm is used to find the optimal solution to the optimization problem. The results of the proposed framework in the form of different scenarios are compared with the results obtained by the genetic algorithm and particle swarm, which indicates its efficiency and optimal performance in designing hybrid energy systems.

Cites

No record.

References

No record.

Cite

APA: Copy

Goldoust, Ali, Hojjat, Mehrdad, & Seyyedmahdavi, Saeed. (2022). Design of hybrid energy systems using bat search optimization algorithm. IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP), 10(4 ( 25) ), 73-85. SID. https://sid.ir/paper/961216/en

Vancouver: Copy

Goldoust Ali, Hojjat Mehrdad, Seyyedmahdavi Saeed. Design of hybrid energy systems using bat search optimization algorithm. IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP)[Internet]. 2022;10(4 ( 25) ):73-85. Available from: https://sid.ir/paper/961216/en

IEEE: Copy

Ali Goldoust, Mehrdad Hojjat, and Saeed Seyyedmahdavi, “Design of hybrid energy systems using bat search optimization algorithm,” IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP), vol. 10, no. 4 ( 25) , pp. 73–85, 2022, [Online]. Available: https://sid.ir/paper/961216/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops