A Novel PV Data Stream Compression and Reconstruction Approach with Signal Residual Observation Matrix

At present, when user-side distributed PV participates in the multi-level aggregation regulation of power grid, it involves the collection and interaction of massive multiple heterogeneous data, and the data redundancy and data scale are constantly growing, occupying a lot of network resources. In this paper, a distributed photovoltaic data compression algorithm based on signal residual observation matrix (SROM) is proposed, which effectively reduces the data transmitted by the system. Experiments show that this method has a stable reconstruction effect under different distributed PV power generation waveforms.