Emerging distributed generation demands highly reliable and resilient coordinating control in microgrids. To improve on these aspects, spiking neural network is leveraged, as a grid-edge intelligence tool to establish a talkative infrastructure, Spike Talk, expediting coordination in next-generation microgrids without the need of communication at all. This paper unravels the physics behind Spike Talk from the perspective of its distributed infrastructure, which aims to address the Von Neumann Bottleneck. Relying on inferring information via power flows in tie lines, Spike Talk allows adaptive and flexible control and coordination itself, and features in synaptic plasticity facilitating online and local training functionality. Preliminary case studies are demonstrated with results, while more extensive validations are to be included as future scopes of work.

本研究针对微电网中对协调控制的高可靠性和韧性的需求，采用脉冲神经网络作为一种边缘智能工具，提出了一种名为“脉冲通信”的基础设施，以提升下一代微电网的协调能力，且无需任何通信。研究揭示了脉冲通信的物理机制，旨在解决冯·诺依曼瓶颈，通过利用电力流推断信息，实现自适应和灵活的控制与协调，并具有突触可塑性，支持在线和本地训练功能。

电力电子电网中的脉冲通信——利用后摩尔计算法则