Mitigating Frequency Instability in Microgrids Using Virtual Inertia and Fopid Control

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The increasing reliance on renewable energy sources (RES) has resulted in a reduced contribution from conventional generation units in the electrical grid, leading to a gradual decline in microgrid inertia. This reduction poses significant challenges to frequency stability within microgrid power systems. To address this issue, this paper introduces a virtual inertia rotor technique designed to effectively compensate for the loss of system inertia. The proposed method utilizes a Tilt-Integral-Derivative (TID) controller and a Fractional-Order Proportional-Integral-Derivative (FOPID) controller for load frequency control. However, due to the high penetration of RESs or sudden load fluctuations, the microgrid system frequency may experience unexpected deviations. To mitigate these risks, the proposed technique is integrated with a frequency protection relay scheme, ensuring the dynamic security of the microgrid, particularly under critical conditions. The effectiveness of this coordination is validated using MATLAB simulations under various load and generation imbalance scenarios.

Original languageEnglish
Title of host publication2025 Energy Conversion Congress and Expo Europe, ECCE Europe 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331567521
DOIs
StatePublished - 2025
Event2025 Energy Conversion Congress and Expo Europe, ECCE Europe 2025 - Birmingham, United Kingdom
Duration: 31 Aug 20254 Sep 2025

Publication series

Name2025 Energy Conversion Congress and Expo Europe, ECCE Europe 2025 - Proceedings

Conference

Conference2025 Energy Conversion Congress and Expo Europe, ECCE Europe 2025
Country/TerritoryUnited Kingdom
CityBirmingham
Period31/08/254/09/25

Keywords

  • frequency controller
  • Microgrid
  • particle swarm optimization
  • Power system stability
  • renewable energy sources
  • Virtual inertia control

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