Design optimization of a stand-alone green energy system of university campus based on Jaya-Harmony Search and Ant Colony Optimization algorithms approaches

Güven A. F., Yörükeren N., Samy M. M.

ENERGY, cilt.253, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 253
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.energy.2022.124089
  • Dergi Adı: ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Computer & Applied Sciences, Environment Index, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Harmony Search algorithms, Jaya algorithms, Ant colony Optimizer algorithms, Techno-economic optimization, Energy management, LPSP TECHNOLOGY, HYBRID, COST
  • Kocaeli Üniversitesi Adresli: Evet

Özet

The use of renewable energy resources in the production of electrical energy is becoming prevalent due to the decreasing installation costs of these resources and increasing environmental concerns. A Hybrid Renewable Energy System (HRES) is beneficial for meeting load demands, but optimal sizing is the main problem in the process of obtaining a cost-efficient system based on certain load demands and technoeconomic parameters. In this article, the Harmony Search (HS) algorithm was used for the optimal sizing of components and compared to other methods. The HRESs consisted of photovoltaic (PV), wind turbine, battery, diesel generator and inverter components. A powerful rule-based energy management scheme was introduced to manage the power flow between system parts which constitute the microgrid that will minimize the annual system cost and reliably meet the energy demand. The decision variables for this optimization were the PV panel power, wind power, and the number of batteries. Simulation results revealed that HS provided the optimum sizing among the other methods including HOMER, Ant Colony Optimizer and Jaya. The time performances of the algorithms were also examined, and the HS algorithm had better performance and convergence properties. The optimization process was programmed using the MATLAB simulation package.(c) 2022 Elsevier Ltd. All rights reserved.