A Hierarchical Design for Damping Control of Wind-Integrated Power Systems Considering Heterogeneous Wind Farm Dynamics

摘要

The majority of control designs for wind power systems rest upon the simplifying assumption that every wind turbine and generator (WTG) inside a wind farm has identical dynamics, and, hence, can be aggregated into a single WTG admitting a single controller. In reality, however, this assumption does not hold because of wake effect due to which the small-signal models of turbines in a given row may be similar, but those between different rows can be significantly dissimilar. In this paper we propose a hierarchical control design to address these types of heterogeneous models of WTGs in a wind farm. Our approach is to group all turbines in a row as a cluster, design a cluster-level aggregate controller by averaging of states, make these aggregate controllers exchange average state information through a local communication network, and thereafter project the aggregate controller back to the original WTGs for implementation. Simulations validating the effectiveness of this hierarchical controller are shown for the IEEE 68-bus benchmark power system with one wind farm.