Transient Stability Analysis of Ocean Wave Energy Fed to a Power Grid Using a SSSC

Abstract

This paper proposes the design of a closed-loop vector control structure based on Recurrent Functional Link based Elman Neural Network (RFLENN) for a Static Synchronous Series Compensator (SSSC), linking to a Seashore Wave Energy System (SWES) driven Doubly-Fed Induction Generator (DFIG) is connected. A RFLENN controller for a SSSC in order to reduce the power fluctuations, voltage support and damping for a hybrid power system. The proposed RFLENN is a functional link-based recurrent Elman Neural Network. Analysis of the performance of the proposed controller shows that it can achieve better damping characteristics. The internal power fluctuations to the power system can effectively stabilize the network under unstable conditions. This paper presents a closed-loop vector control structure based on RFLENN for a grid-connected SWES driven DFIG. This paper presents the transient stability improvement and power-flow control results of a DFIG-based SWES connected to a SSSC connected in series with one of two parallel transmission lines.