PLC-based information aggregation and data compression for distributed PV access

Abstract

With the expanding scale of photovoltaic (PV) power generation installed in the grid, the scattered communication terminals and the large-scale data communication led to the problem that the master station cannot aggregate information from multiple terminals and analyze data efficiently in real time. In this paper, a power line communication (PLC)-based efficient information aggregation and data compression architecture is constructed. On the basis, we propose genetic algorithm-based information aggregation algorithm to optimize PLC channel selection and reduce information aggregation delay. Moreover, we propose a multi-intersection approximation data estimation algorithm to support the master station for regulation and decision-making by improving data compression accuracy. Simulation results show that the proposed algorithm has superior performance in terms of information aggregation delay and data compression accuracy.