State of Charge Rate for Photovoltaic Inverters with Adaptive Battery Storage
Engineering and industry
The paper presents a yearly optimal State of Charge (SoC) level calculating function to the grid connected residential size PV energy storage systems. Main aim is to decrease the electric grid peak load, energy need by offering an adaptive SoC value to the grid connected PV inverter with energy storage. The simulation utilizes a global optimization method with low computation need and it is tested on a yearlong measurement data which is unique in his segment. The goal of the work is to lower
... work is to lower the duration of the residential peak time and raise the off-peak time energy need by increasing the minimal SoC level of the grid connected PV inverter with energy storage without charging the energy storage in off-peak time. Meanwhile, the adaptive algorithm is minimizing the electric grid dependence, without adding as few as possible extra charge/discharge cycles to the energy storage. In contrast of other widely known SoC algorithms the approach presented here has a verified capability to be used in all seasons. Moreover throughout this paper only real generating data of a small scale PV plant is used. Furthermore, corresponding formula is explored between the size of the energy storage, the saved energy and the PV production/energy need ratio in yearly base. and where now he is a senior lecturer. His employment experience included transformer stations design. His scientific interest is electromagnetic compatibility in power systems with special regard to LFI, furthermore energy management, PV systems and electrified railways.