Research On The Algorithm Of Data Fusion In The Micro Grid

This paper’s research focus on data fusion technology of micro grid, research of this area is mainly composed of wind power, photovoltaic power generation, energy storage and sensors. Based on CPS, we propose a novel micro-grid model, within the framework of which, a more explicit wind-solar complementary power system is presented. Then the definition, function and classification of data aggregation are explained by this paper. In the data fusion research of sensors, we use compressive sensing (CS) algorithm, and choose the most suitable solution for wind speed signal compressive sensing through matlab simulations. In addition, we create a new measurement matrix, which can improve the support of Donoho’s CS1, CS2conditions and indirect denoising at the same time. Finally, in wind-PV complementary micro grid, we fuse data of wind, PV, battery and users. Process of fusion using improved dicrete particle swarm optimization algorithm (DPSO-Ⅱ), and result is wind-PV-battery real-time economic regulation. Through different switch decision to achieve the goal of stable and economic power generation.