MODELING, ANALYSIS AND CONTROL FOR LARGE SCALE RENEWABLE ENERGY SOURCES

With the increasing utilization of grid-connected inverters, a large-scale renewable energy generation (REG) system model consisting of numerous equipment is getting more complex. In practical applications, the detailed model usually contains over thousands states and parameters. It is a huge challenge for the task of system analysis and control parameters design. Consequently, it is necessary to simplify the model for system analysis and control parameter design. Aggregated modeling method is an efficient approach to get a simplified model. To obtain an accurate aggregated model and maintain the transient behaviour and frequency characteristics of multi-inverters clusters, a reasonable dynamic coherency criterion is required in the procedure of dynamic equivalent modeling. To solve the problem mentioned above, a novel dynamic aggregation modeling method using dynamic coherency criterion derived from Hamilton’s action. Furthermore, an improved stability and sensitivity analysis method with low computational burden is about to be proposed. In addition, a control parameters optimization procedure with low calculation facing large-scale inverter clusters will be presented to improve the dynamic and stability performance. The study plan above will be implemented on hardware-in-the-loop simulation platform to verify the effectiveness of proposed method.

Funding: Self-financing