Publication Type:

Conference Paper

Source:

TENCON 2017 - 2017 IEEE Region 10 Conference, IEEE, Penang, Malaysia (2017)

ISBN:

9781509011346

URL:

https://ieeexplore.ieee.org/document/8228214

Keywords:

adaptive control, asynchronous generators, capacitive compensation, capacitive series compensation, Damping, Doubly fed induction generator (DFIG), Eigen value approach, eigenvalues and eigenfunctions, fuzzy based adaptive controller, Fuzzy control, grid connected DFIG based windfarm, Grid integrated wind energy conversion system, Grid integrated wind farm, Grid integration, Grid Side converter, long transmission line, mathematical model, Oscillators, Power grids, Power system stability, Power transmission lines, renewable energy sources, rotor side converter, rotors, RSC, RSC and GSC control, Series capacitive compensation, SSR oscillations, Sub Synchronous Resonance Oscillations, Sub-synchronous Resonance (SSR), Subsynchronous resonance, system operating conditions, transmission capacity, turbine-shaft system, Wind energy, wind power plants, Wind speed, Wind turbines

Abstract:

Grid integrated wind energy conversion system is highly known among all renewable energy sources. Grid integrated wind farm undergoes many technical challenges. Wind farms need long transmission line for the grid integration. As long transmission line exhibits high inductive reactance, capacitive series compensation is required to improve the transmission capacity. Insertion of capacitive compensation in a line causes Sub Synchronous Resonance (SSR) Oscillations in the system. These oscillations may lead to a permanent damage in the turbine-shaft system. This paper proposes a novel fuzzy based adaptive controller for Rotor Side Converter (RSC) and Grid Side Converter (GSC) for damping SSR oscillations in a grid connected DFIG based wind farm. The paper describes the development of a mathematical model of the proposed system in detail and small signal stability for SSR oscillations is analyzed using Eigen value approach. Oscillation. Performance of the proposed controller is tested under varying operating conditions and it has been observed that the fuzzy based controller adopts the changes in the system operating conditions and gives satisfactory performance compared with conventional PI controller.

Cite this Research Publication

R. Mahalakshmi and Dr. Sindhu Thampatty K.C., “A fuzzy based adaptive controller for grid connected DFIG based windfarm for damping SSR oscillations”, in TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, Malaysia, 2017.