Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Improved Robust Frequency Control Strategy in RES-Based Microgrids Using Virtual Inertia and RPCD Approach

Document Type : Original Research

Authors
Sajad Golshaeian
Mahdi Najafi
Gevork B. Gharehpetian
Seyed Hossein Hosseinian
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
10.30511/pcdp.2025.2064166.1033
Abstract
In modern microgrid systems, maintaining frequency stability in the presence of renewable energy sources remains a critical challenge. This paper presents a resilient frequency control strategy that incorporates virtual inertia to mitigate instability issues arising from the fluctuations of renewable generation. The proposed method is based on the Robust Polynomial-Based Control Design (RPCD), which is tailored for microgrid applications to handle inherent system uncertainties. In addition, the H∞ control method is utilized as a benchmark to evaluate system performance under disturbances. The study considers distributed generation from solar and wind sources and analyzes the system’s dynamic behavior in both grid-connected and islanded operating modes. In the islanded scenario—triggered by events such as voltage drops or frequency mismatches—the performance of the developed RPCD-based scheme in preserving system frequency is thoroughly evaluated. Furthermore, to investigate potential enhancements in local control performance, a version of the system with optimized PID parameters using the Shuffled Frog Leaping Algorithm (SFLA) is also examined. The results confirm that the proposed controller, with and without optimization, successfully ensures system stability under diverse and challenging operational conditions.
Keywords
Microgrids
Resilient Frequency Control
Virtual Inertia
RPCD-based controller
SFLA Optimization

Subjects

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Power, Control, and Data Processing Systems
Volume 2, Issue 3
Summer 2025
Pages 48-57

  • Receive Date 25 June 2025
  • Revise Date 03 July 2025
  • Accept Date 05 July 2025
  • First Publish Date 05 July 2025
  • Publish Date 01 September 2025