Photovoltaic Grid Connected Control Algorithm Based on Covariance Optimization Ant Colony Algorithm
Abstract: There are oversized
power pulsation, unfixed switching frequency and other defects while the conventional
direct power control method is applied in photovoltaic, grid-connected inverter
system. To overcome the above problems, this paper puts forward a kind of
control method for predicting optimal switch sequence, namely, carrying out
combinatorial output for a group of zero voltage vectors and nonzero voltage
vectors in a control cycle. Take the prediction and control theory of
photovoltaic, grid-connected inverter as the basis to constitute the
mathematical function of system power tracing the errors in a single control
cycle and regard the minimum error that power traces as the control object to
deduce and obtain the optimal action time which is corresponding to each voltage
vector. Results of prototype examination has shown that, this method can
efficiently optimize the stability control precision of grid-connected inverter
system to realize the operation of fixed switching frequency and it also
maintains the high dynamic responsive characteristics of the conventional
direct power control method.
Author: Jia Wen Ting, Wei Xue
Ye, Zhang Jun Hong, Ma Jian Guang
Journal Code: jptkomputergg160130
