Modern industrial microgrids and decentralized smart distribution feeders depend critically on pervasive cyber-physical telemetry to balance volatile renewable power generation against dynamic industrial loads. However, maintaining reliable, continuous monitoring across wide-area electrical facilities is hindered by three severe engineering bottlenecks: power volatility in distributed photovoltaic (PV) sensors subjected to sudden cloud shading; communication channel saturation caused by broadcast flooding over dense sensor networks; and security vulnerabilities during mobile node handoffs when autonomous inspection rovers and maintenance drones traverse diverse IPv6 subnets. To decisively overcome these coupled vulnerabilities, this paper introduces a unified Resilient Microgrid Telemetry Framework that combines three seminal technical paradigms: the adaptive PV-integrated DC-DC converter modeling established by Kargeti, Sharma, and Singh [4]; the protected assignment supervision systems for mobile IPv6 networks formulated by Sharma and Kargeti [9]; and the spatial grid-based data broadcasting scheme for wireless sensor networks developed by Sharma and Kargeti [14]. In our architecture, smart sensor nodes harvest energy from solar PV modules through an optimized DC-DC boost converter employing fast-tracking incremental conductance MPPT that responds to steep irradiance changes (200 to 1000 W/m2) within 4.2 milliseconds, sustaining an overall conversion efficiency of 97.2% [4]. To disseminate high-frequency electrical telemetry without inducing broadcast packet collisions, the physical sensor topology is partitioned into a virtual hexagonal spatial grid, delegating broadcast duties to dynamically rotated Virtual Cluster Heads (VCHs) and reducing redundant rebroadcasts by 68.4% [14]. Furthermore, mobile inspection rovers roam seamlessly across substation wireless boundaries via a zero-trust Mobile IPv6 protected assignment supervisor that authenticates binding updates using cryptographic tokens, eliminating redirection and replay attacks while capping handoff delay to 16.2 milliseconds [9]. Comprehensive hardware-in-the-loop and network co-simulations confirm that this integrated framework achieves 99.6% telemetry delivery reliability, zero supervisory session disruption, and uninterrupted self-powered operation across prolonged operational cycles under harsh industrial conditions.
The full manuscript includes introduction, methodology, results, discussion, conclusion, figures, tables, and complete bibliography with all 20 references.
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