DESIGN OF AN OPTIMAL ADAPTIVE INTELLIGENT CONTROL SCHEME FOR STATCOM IN A SERIES COMPENSATED WIND FARM

FeiWang ； Kai-Hung Lu ； Qiangqiang Xu ； Ziwen Chen

《Journal of Marine Science and Technology》 28卷4期 (2020/08) Pp. 276-287

https://doi.org/10.6119/JMST.202008_28(4).0006

摘要

This paper proposes a static synchronous compensator (STATCOM) for use with a self-excited induction generator (SEIG)-based wind farm. The STATCOM applies a damping controller based on an optimal adaptive intelligent controller (OAIC) comprising the critical network, the functional link-based Elman neural network (FLENN), and the genetic algorithm hybrid time-varying particle swarm optimization (GAHTVPSO) algorithm. The OAIC improves the damping power oscillations in the SEIG-based series-compensated wind farm system. The node-connecting weights of the proposed FLENN and the critical network are trained online via a backpropagation (BP) algorithm, and the GAHTVPSO adjusts the learning rates of the BP algorithm to improve the learning ability of the neural network. A performance analysis confirms the superior damping characteristics of the proposed controller. Moreover, the internal power fluctuations to the power system can be effectively alleviated under variable wind-power generation conditions.

關鍵字

Static synchronous compensator ； Functional-link based Elman neural network ； Genetic algorithm hybrid time varying particle swarm optimization ； Optimal adaptive intelligent controller