Grid interconnection is a key strategy for strengthening power system resilience to extreme weather events by facilitating intersystem mutual assistance. Despite the overall reduction in risk exposure, significant residual risks remain that could still lead to catastrophic consequences. While insurance offers a means to transfer these risks, conventional standalone models struggle to balance insurer solvency with premium affordability and fail to incentivize participation from lower risk areas. Inspired by spatial risk diversification, this article proposes a novel coalitional insurance framework for weather-related risk management of interconnected transmission systems (ITS). The framework is built on a joint resilience assessment model that quantifies power outage risks in ITS, accounting for intersystem mutual assistance. To solve this model with guaranteed convergence and well-preserved privacy, a distributed optimization approach based on the Bregman alternating direction method of multipliers and iterative optimization is developed. Furthermore, specially designed exante premium and expost indemnity policies ensure equitable allocation and promote coalition participation. Numerical experiments on the IEEE RTS-96 system validate the effectiveness and superiority of the proposed coalitional insurance scheme.

Quantum communication is a promising technique for enhancing the information security. However, the limited availability of quantum keys due to low generation rates still remains a challenge in the quantum key distribution of power systems. To address this issue and optimize the utilization of quantum resources in the gradually developed quantum-secured power communication systems, this article proposes a hybrid resource optimization method by leveraging network virtualization technologies. First, we present a virtualized architecture using software-defined networking and network function virtualization to support multiapplication scenarios in power system communications. Subsequently, a two-stage resource optimization strategy is proposed to manage both classical and quantum resources. At the first stage, we design a network slicing scheme for allocating classical communication resources, such as channel capacity and time delay. This scheme aims to segregate information flows from applications with diversified quality of service requirements. At the second stage, encryption resources are allocated by matching limited quantum keys with communication requests with different priorities, thereby improving the overall performance of quantum-classical power communication systems. Finally, we construct a cosimulation testbed to validate the effectiveness of the proposed method through case studies.

With the rapid development of power distribution systems (PDSs), the number of terminal devices and the types of delivered services involved are constantly growing. These trends make the operations of PDSs highly dependent on the support of advanced communication networks, which face two related challenges. The first is to provide sufficient flexibility, resilience, and security to meet varying demands and ensure the proper operation of gradually diversifying network services. The second is to realize the automatic identification of terminal devices, thus reducing the network maintenance burden. To solve these problems, this paper presents a novel multiservice network integration and device authentication slice-based network slicing scheme. In this scheme, the integration of PDS communication networks enables network resource sharing, and recovery from communication interruption is achieved through network slicing in the integrated network. Authentication servers periodically poll terminal devices, adjusting network slice ranges based on authentication results, thereby facilitating dynamic network slicing. Additionally, secure plug-and-play support for PDS terminal devices and network protection are achieved through device identification and dynamic adjustment of network slices. On this basis, a network optimization and upgrading methodology for load balancing and robustness enhancement is further proposed. This approach is designed to improve the performance of PDS communication networks, adapting to ongoing PDS development and the evolution of PDS services. The simulation results show that the proposed schemes endow a PDS communication network with favorable resource utilization, fault recovery, terminal device plug-and-play support, load balancing, and improved network robustness.

The electricity infrastructure is a critical lifeline system and of utmost importance to our daily lives. Power system resilience characterizes the ability to resist, adapt to, and timely recover from disruptions. The resilient power system is intended to cope with low probability, high risk extreme events including extreme natural disasters and man-made attacks. With an increasing awareness of such threats, the resilience of power systems has become a top priority for many countries. Facing the pressing urgency for resilience studies, the objective of this paper is to investigate the resilience of power systems. It summarizes practices taken by governments, utilities, and researchers to increase power system resilience. Based on a thorough review on the existing metrics system and evaluation methodologies, we present the concept, metrics, and a quantitative framework for power system resilience evaluation. Then, system hardening strategies and smart grid technologies as means to increase system resilience are discussed, with an emphasis on the new technologies such as topology reconfiguration, microgrids, and distribution automation; to illustrate how to increase system resilience against extreme events, we propose a load restoration framework based on smart distribution technology. The proposed method is applied on two test systems to validify its effectiveness. In the end, challenges to the power system resilience are discussed, including extreme event modeling, practical barriers, interdependence with other critical infrastructures, etc.