Abstract
In this study, we evaluate the impact of frequency control and the penetration of inverter-based resources (IBRs) on cascading failures in power systems. The modeling of controllers for IBRs requires obtaining realistic state information during cascading failure processes. However, cascading failure events can alter system topologies and the power flow Jacobian, leading to unsolvable power flow even when an equilibrium point exists. To address this, we propose a model that tracks the steady-state voltage profiles across successive cascade generations. This model enables the incorporation of droop controllers for IBRs into the cascading failure model. Additionally, it allows for capturing the effects of the interaction between local primary frequency control and system-level frequency control on cascading failures. Numerical experiments conducted on the IEEE 118- and 300-bus systems demonstrate the effectiveness of increasing primary frequency control reserve in mitigating power outages. However, increasing the droop control coefficients, which aim to enhance system robustness, results in larger power outage sizes. © 2023 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 5946-5955 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 39 |
| Issue number | 4 |
| Online published | 5 Dec 2023 |
| DOIs | |
| Publication status | Published - Jul 2024 |
Funding
This work was supported in part by Hong Kong Research Grants Council GRF under Grant 112071/21E and in part by the City University of Hong Kong under Grants 9229031 and 9229105. Paper no. TPWRS-00879-2023
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Research Keywords
- Cascading failure
- distributed energy resources
- droop control
- Frequency control
- Load flow
- Numerical models
- power electronics penetration
- Power system faults
- Power system protection
- Power system stability
- Steady-state
RGC Funding Information
- RGC-funded
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DON_RMG: Enabling Technologies for Information and Energy Infrastructures - RMGS
TSE, C. K. (Principal Investigator / Project Coordinator)
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Project: Research
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DON_RMG: Data-driven Modelling and Prediction of Spreading of Infectious Diseases - RMGS
TSE, C. K. (Principal Investigator / Project Coordinator)
1/07/20 → …
Project: Research
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