Secure communication-sensing-computing resource allocation method for active distribution network of entropy awareness of transparent security management
Transparent and secure management and control of active distribution networks can achieve real-time and comprehensive monitoring and control of distribution network operations. Throughput and privacy entropy are important metrics for measuring the transparency and security management. It is necessary to achieve high throughput and privacy entropy through joint optimization of distribution network sensing and computing resources. However, joint optimization methods for sensing and computing resources face challenges such as trade-offs between throughput and privacy entropy, high complexity and slow convergence of joint optimization, and poor optimization performance. Therefore, this paper proposes a resource allocation method for active distribution networks based on transparency-aware security management and sensing. The architecture of transparent security management for active distribution networks is established. The joint optimization problem of sensing and computing resources under constraints of transparency management and long-term privacy entropy is formulated. Long-term constraint is decoupled from short-term decisions based on Lyapunov optimization. The transparency security management and control entropy-aware terminal intelligent scheduling algorithms for and Lagrange-based encryption level and computing resource optimization algorithms are proposed. Simulation results demonstrate that the proposed algorithms exhibit good performancein terms of throughput and privacy entropy.