The quick development of smart grids coupled with IoT devices has opened breaches of security leading to cyberattacks done by attackers with different purposes. In this study, a behavior model is proposed to investigate the risk of cyber attacks on power grids, where the utility value is determined by subjective attack attitude and characteristics of candidate targets firstly, and then the behaviors of attack target selection and attack resource allocation are described by the probability response and utility attenuation model respectively based on data analysis of historical events. The simulation results on RTS79 system indicate that the risk and the vulnerable nodes of the power grid vary with the characteristics of attack behaviors and characteristic attributes of targets, which should be considered in the cyber security defense dynamically.

Long BCH codes achieve additional coding gain of around 0.6 dB compared to Reed-Solomon codes with similar code rate used for long-haul optical communication systems. For our considered parallel decoder architecture, a novel group matching scheme is proposed to reduce the overall hardware complexity of both Chien search and syndrome generator units by 46% for BCH(2047, 1926, 23) code as opposed to only 22% if directly applying the iterative matching algorithm. The proposed scheme exploits the substructure sharing within a finite field multiplier (FFM) and among groups of FFMs.

As the increasing penetration of sustainable energy brings risks and opportunities for energy system reliability, at the same time, considering the multi-dimensional differentiation of users’ reliability demands can further explore the potential value of reliability resources in Integrated Energy Microgrid (IEM). To activate the reliability resources in a market-oriented perspective and flexibly optimize the operational reservation in dispatch, an optimal dispatching model in IEM considering reliability principal–agent contracts is proposed. We establish the reliability principal–agent mechanism and propose a cooperative gaming model of Integrated Energy Operator (IEO) and Integrated Energy User (IEU) based on the optimal dispatching model. At the upper level, the economic dispatching model of IEO is established to optimize the operation reservation, and the reliability principal–agent contract from users in the lower level would influence reliability improvement. Each IEU in the lower level maximizes its energy utilization and gives the corresponding reliability principal–agent incentives according to the reliability improvement degree and its actual demand. The bi-level model is solved by the KKT condition and strong duality theorem. A case study verifies the effectiveness of the proposed model in reducing the energy dispatch cost, improving the economic benefits of each participant, realizing the optimal allocation of reliability resources and optimizing the IEM energy structure, and the sensitivity analysis of dispatch cost with the user’s energy-using benefits is discussed.