The geographically distributed edge servers can naturally draw power from nearby renewable energy (RE) generators. Complemented by the dynamic scheduling of energy storage batteries, edge service providers (ESPs) can thus build low- or even zero-carbon edge computing. This paper presents a systematic review of edge computing in energy distribution systems, examining its architectures, methodologies, and real-world applications. Key application areas consist of real-time data transmission, smart metering, microgrid management, anomaly and fault detection, state. To solve the above problems, this paper proposes a flexible orchestration of lightweight artificial intelligence (AI) for edge computing in LVDN. Firstly, the application requirements of LVDN are analysed through feature extraction of its historical data, and a lightweight AI library is constructed. Combining Red Hat OpenShift with SDM and ephemeral overlay networks has the potential to broaden compute design from simply cloud-assumptive to also include edge-assumptive patterns. Nevertheless, the. Multi-access edge computing (MEC) is a critical technology for 5G networks. With the expanding scale of the power grid, the.