用电流波动实现电网自协调，无需通信就能智能响应
Spike Talk in Power Electronic Grids -- Leveraging Post Moore's Computing Laws
- 通过线路功率流动隐式传递信息，实现无通信控制
- 具备突触可塑性，支持本地在线学习与动态调节
- 适合高可靠微电网，解决传统计算架构瓶颈
分布式能源发展对微电网的可靠与弹性协调控制提出更高要求。本文提出一种基于脉冲神经网络的电网边缘智能架构——Spike Talk，构建无需通信的协同基础设施，显著提升下一代微电网的协调效率。该系统从分布式架构视角揭示其物理机制，旨在突破冯·诺依曼瓶颈。通过分析联络线上的功率流动，实现信息推断，使控制与协调具备自适应性和灵活性，并支持突触可塑性带来的本地在线训练能力。初步案例研究已验证其有效性，未来工作将开展更广泛验证。
原文摘要 · Abstract (English)
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.
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