Rapid modelling for flexible DC distribution network considering droop control

The Journal of Engineering

Da Xie¹  Songtao Yu¹  Aikang Chen¹ 

[1] Shanghai Jiao Tong University;

关键词: AC-DC power convertors;    DC-DC power convertors;    power distribution control;    PI control;    load flow control;    electric current control;    coordination control;    equivalent power sources;    proportional–integral control;    power–voltage curve;    complex internal control processes;    droop control;    multiterminal flexible DC distribution network;    DC distribution power flow;    power quality;    complex renewable energy generation equipment;    power electronic converters;    electrical devices;    DC-DC converters;    AC-DC converters;    DC electricity load growth;   

DOI  :  10.1049/joe.2018.8874

来源: DOAJ

【 摘 要 】

With the growth of DC electricity load, the difficulty to improve the power quality, and the increasing penetration of renewable power, flexible DC distribution network, which contains complex renewable energy generation equipment and a large number of power electronic converters, become an important research direction. The modelling of the DC distribution network is an essential step for the research on the coordination control. However, the traditional modelling will be a burden for simulation software. This article models all electrical devices as equivalent power sources based on the proportional–integral control and the power–voltage curve, ignoring the complex internal control processes. Based on the simplified models of power, load, DC/DC converters, and AC/DC converters considering droop control, a simplified model of a multi-terminal flexible DC distribution network is derived. Taking the impact of droop control into account, the simulation of DC distribution power flow under the different distribution of generation and load is done. Results show that the simplified model of DC distribution network with droop control can accurately and rapidly simulate the transient process and steady states of the testing network.

【 授权许可】

Unknown