Resilient Frequency Control for Renewable-Energy Distributed Systems Considering Demand-Side Resources
Extreme natural disasters can force microgrids into islanded operation, where low system inertia and asynchronous, time-varying communication delays present severe challenges to frequency stability. These challenges threaten not only short-term reliability but also the sustainable operation of renewable-dominated energy systems. Existing frequency control methods are often unable to robustly handle heterogeneous delays, thereby limiting the resilience of power systems with high shares of renewables. To address this issue, we propose a parametric Riccati equation-based frequency control method that adaptively adjusts control parameters to balance system robustness and optimality under asynchronous delays. Controller stability is guaranteed by Barbalat’s lemma. The main contributions include: (i) developing a microgrid frequency control model that incorporates asynchronous delays, (ii) designing a delay-aware controller using the parametric Riccati equation, and (iii) validating its effectiveness on a modified New England 39-bus system. Simulation results confirm that the proposed method enhances frequency stability under disaster-induced islanding scenarios. By ensuring robust and reliable operation of renewable-rich power systems, the proposed approach contributes to the sustainable integration of renewable energy, reduces blackout risks, and supports long-term environmental and socio-economic sustainability goals.
Authors
- Changzheng Shao (ORCID: https://orcid.org/0000-0003-2130-4487)
- Chengrong Lin (ORCID: https://orcid.org/0000-0003-0520-0725)
- Jun Gu (ORCID: https://orcid.org/0000-0002-8225-9651)
- Ling Li (ORCID: https://orcid.org/0009-0007-7432-0487)
- Hanxin Zhang (ORCID: https://orcid.org/0009-0003-7144-8291)
- Yangjun Zhou
Institutions
- Chongqing University (CN)
- Shanghai Electric (China) (CN)
- Guizhou Electric Power Design and Research Institute (CN)
Publication Details
- Journal
- Sustainability
- Published
- 2025-10-13
- DOI
- https://doi.org/10.3390/su17209053
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00