Research Article
Maximum Power Output Control Method of Photovoltaic for Parallel Inverter System Based on Droop Control
@INPROCEEDINGS{10.1007/978-3-030-69066-3_51, author={Zhang Wei and Zhong Zheng and Hongpeng Liu and Xuemai Gu}, title={Maximum Power Output Control Method of Photovoltaic for Parallel Inverter System Based on Droop Control}, proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings}, proceedings_a={AICON}, year={2021}, month={7}, keywords={PV cells Parallel inverter Droop control MPO-PV Small signal modeling}, doi={10.1007/978-3-030-69066-3_51} }
- Zhang Wei
Zhong Zheng
Hongpeng Liu
Xuemai Gu
Year: 2021
Maximum Power Output Control Method of Photovoltaic for Parallel Inverter System Based on Droop Control
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_51
Abstract
Generally, the output power of photovoltaic (PV) inverter will match the load requirement. And at the beginning of the design the load power is less than the maximum output power of PV cells to ensure the system operation stable when the PV inverter operates in islanded mode. However, it causes the energy waste of PV cells. Therefore, more and more PV cells are combined with other energy sources to form the microgrid system in order to reasonably plan the power output of each energy source. Droop control is usually used to achieve the power distribution of parallel inverter in microgrid system. However, the traditional methods of adjusting the droop coefficients or adding virtual impedance cannot automatically achieve the maximum utilization of output energy of PV cells. Thus, a novel droop control method has been proposed to achieve the maximum power output of PV (MPO-PV) unit in this paper, where the PV units of parallel system always operate at the maximum power and the other inverters make up the remaining power required by the load, with effective improvement of the utilization rate of renewable energy sources (RESs). Meanwhile, the control parameters of the improved droop loop have been designed by the small signal modeling and system stability analysis. Finally, the validity of the proposed method has been verified by experimental results.