Journal of Green Energy Research and Innovation
Quarterly

Economic Planning of the Islanded Hybrid System based on Sizing of Non-Controllable/ Controllable Renewable Units

Articles in Press

Document Type : Research article

Authors

Ehsan Akbari 1
Sasan Pirouzi 2

1 Department of Electrical Engineering, Mazandaran University of Science and Technology, Babol, Iran

2 Islamic Azad University of Semmirom Branch, Semmirom, Iran

10.61882/jgeri.2026.2078395.1087
Abstract
The study outlines the planning methodology for an islanded hybrid system, focusing on the optimal capacity determination of controllable and uncontrollable renewable resources, while addressing economic criteria. The goal function minimizes the construction and maintenance costs associated with power electronic converters, and renewable energy units. These objectives are governed by operation-planning constraints including resource management, and converter functionality. Additionally, the problem-solving approach employs an evolutionary algorithm such as the Cuckoo search optimization (CSO) to achieve enhanced computational efficiency. This planning strategy was tested with regional data from Semirom city in Iran. Numerical simulations demonstrated that the proposed solution algorithm (CSO) achieves optimal results with rapid convergence, showcasing a final response standard deviation 0.91%. The CSO algorithm is able to obtain the most optimal solution with the lowest planning cost compared to other non-hybrid algorithms.

Keywords

Controllable renewable units
Cuckoo search optimization
Islanded hybrid system
Wind System
Journal of Green Energy Research and Innovation

Articles in Press, Accepted Manuscript
Available Online from 03 May 2026

  • Receive Date 19 November 2025
  • Revise Date 24 February 2026
  • Accept Date 03 May 2026
  • Publish Date 03 May 2026

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