| Title | An Augmented Bayesian Reputation Metric for Trustworthiness Evaluation in Consensus-based Distributed Microgrid Energy Management Systems with Energy Storage |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Cheng, Z., Chow, M.-Y. |
| Conference Name | 2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) |
| Keywords | agent trustworthiness, attack detection, augmentation method, augmented Bayesian reputation metric, Batteries, Bayes methods, composability, consensus, consensus-based distributed microgrid energy management systems, control engineering computing, cryptography, cyber-physical system, cybersecurity, difficult-to-detect attack patterns, distributed control, distributed power generation, Energy management, energy management system, energy management systems, energy storage, Estimation, Indexes, Measurement, microgrid, Microgrids, multi-agent system, multi-agent systems, power engineering computing, power system security, pubcrawl, real-time HIL microgrid testbed, resilience, trust evaluation, Trusted Computing, trustworthiness, Trustworthiness Evaluation |
| Abstract | Consensus-based distributed microgrid energy management system is one of the most used distributed control strategies in the microgrid area. To improve its cybersecurity, the system needs to evaluate the trustworthiness of the participating agents in addition to the conventional cryptography efforts. This paper proposes a novel augmented reputation metric to evaluate the agents' trustworthiness in a distributed fashion. The proposed metric adopts a novel augmentation method to substantially improve the trust evaluation and attack detection performance under three typical difficult-to-detect attack patterns. The proposed metric is implemented and validated on a real-time HIL microgrid testbed. |
| DOI | 10.1109/IESES45645.2020.9210638 |
| Citation Key | cheng_augmented_2020 |
An Augmented Bayesian Reputation Metric for Trustworthiness Evaluation in Consensus-based Distributed Microgrid Energy Management Systems with Energy Storage