Design of an intelligent damping controller of statcom with hvdc for large offshore wind farm

This paper proposes the design of an Intelligent Damping Controller (IDC) for a Static Synchronous Compensator (STATCOM), linking to a high voltage direct current (HVDC) transmission line, where a permanent magnet synchronous generator (PMSG)based offshore wind farm (OWF) is connected. This IDC consists of a critic network with the proposed Functional Link based Recurrent Fuzzy Neural Network (FLRFNN) and Genetic Algorithm Hybrid Time Varying Particle Swarm Optimization (GAHTVPSO) algorithm. A single-machine infinite-bus and a multi-machine hybrid power system were used for test the system stability. GAHTVPSO approach is developed to adjust the learning rates to improve the learning capability. Analysis of the performance shows that it can achieve better damping characteristics.