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Abstract Enhancing the resilience and reliability of power grids is crucial amid rising cyber threats and system complexities. To address these challenges, this paper proposes an energy‐efficient, consortium blockchain‐based global alarm system for power grid management. Using smart contracts and the proof of‐authority consensus algorithm, the alarm system triggers global alarms upon detecting local anomalies, ensuring a prompt response to partition the power grid and mitigate failures. The effectiveness is validated by simulating the Iberian power system with 15 providers from various regions. Key metrics, such as load shedding, damage reduction, energy consumption, latency, and transaction costs, are used to assess the performance. Through simulations, we show that the blockchain‐based system effectively limits the damage propagation and the load shedding during cascading failures by delaying the onset of instability and maintaining lower damage levels compared to non‐blockchain scenarios. Our investigations reveal that the proposed global alarm mechanism reduces the damage and load shedding by up to 29% and 87%, respectively, showcasing its potential for preventing widespread outages.
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Operating Power Grids during Natural Disasters
Optimal dispatch and network reconfiguration have so far been used effectively to improve power grid reliability and economic operation. This paper presents a linearized optimization formulation of best load shedding and topology control strategies under extreme events such as hurricanes. In addition, the algorithm analyzes voltage stability after each optimization cycle and iteratively tightens the constraints until a stable solution is found. The proposed method relies on the hurricane's trajectory forecast and available fragility curves for civil engineering structures to predict those power grid facilities most likely to be damaged or taken out in the next monitoring period. The developed algorithm also considers the requirements of other interdependent networks such as mobile communication and emergency services to prioritize load shedding for associated load centers
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- Award ID(s):
- 1638234
- PAR ID:
- 10176077
- Date Published:
- Journal Name:
- 2019 IEEE Milan PowerTech
- Page Range / eLocation ID:
- 1 to 6
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/PTC.2019.8810777
