Open Access iconOpen Access

ARTICLE

Economic Optimization of Wind Solar Energy Storage Microgrid in the Northwest Gobi Region of China Based on Improved MDA Algorithm

Qingguo Nie, Yongfang Nie*

Nanchang Institute of Technology, Nanchang, China

* Corresponding Author: Yongfang Nie. Email: email

Energy Engineering 2026, 123(6), 19 https://doi.org/10.32604/ee.2026.069025

Abstract

This study proposes an optimized design method for wind-solar-storage microgrid systems in the Gobi Desert region of northwest China. The core innovation is the development of a Modified Dragonfly Algorithm (MDA) to address the challenges of optimal system sizing and operation under complex desert conditions characterized by high renewable volatility and demanding environmental constraints. To strengthen the algorithm’s global search capability and convergence speed, three key enhancements are introduced: optimal point set initialization for even population distribution, cosine similarity guidance for balanced exploration-exploitation, and a nonlinear convergence factor for adaptive adjustment. The multi-objective optimization model is evaluated using a comprehensive set of technical, economic, and environmental metrics. Simulation results for a case study demonstrate the effectiveness of the proposed approach. The optimized microgrid configuration achieves a total net present cost of 40.062 million CNY, a competitive levelized cost of energy of 0.452 CNY/kWh, and a high renewable energy penetration rate of 88.73%. Environmentally, the system significantly reduces carbon dioxide emissions by approximately 1403.35 t annually compared to conventional power supply. A detailed sensitivity analysis reveals that energy storage capacity, local wind speed variability, and load fluctuations are the most critical factors influencing system economy and operational stability. Furthermore, a financial feasibility assessment yields a positive net present value of 9.237 million CNY and an investment payback period of approximately 8.7 years. These results collectively confirm the proposed MDA-optimized microgrid design offers strong economic viability, technical reliability, and substantial environmental benefits for sustainable development in arid and remote desert regions.

Keywords

Wind solar energy storage microgrid; dragonfly optimization algorithm; life cycle cost; penetration rate of renewable energy; financial analysis

Supplementary Material

Supplementary Material File

Cite This Article

APA Style
Nie, Q., Nie, Y. (2026). Economic Optimization of Wind Solar Energy Storage Microgrid in the Northwest Gobi Region of China Based on Improved MDA Algorithm. Energy Engineering, 123(6), 19. https://doi.org/10.32604/ee.2026.069025
Vancouver Style
Nie Q, Nie Y. Economic Optimization of Wind Solar Energy Storage Microgrid in the Northwest Gobi Region of China Based on Improved MDA Algorithm. Energ Eng. 2026;123(6):19. https://doi.org/10.32604/ee.2026.069025
IEEE Style
Q. Nie and Y. Nie, “Economic Optimization of Wind Solar Energy Storage Microgrid in the Northwest Gobi Region of China Based on Improved MDA Algorithm,” Energ. Eng., vol. 123, no. 6, pp. 19, 2026. https://doi.org/10.32604/ee.2026.069025



cc Copyright © 2026 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 248

    View

  • 59

    Download

  • 0

    Like

Share Link