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SSSC based SSR mitigation in hybrid system using optimized fuzzy logic controller

MAHESWARAN1,* , SIDDAPPA NAIDU2

Affiliation

  1. Assistant Professor, Saveetha Engineering College, Kanchipuram, Tamilnadu, India
  2. Professor, Veltech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Thiruvallur, Tamilnadu, India

Abstract

For renewable power generation system wind power has become the most widely used technique. Therefore large wind turbine generators are used widely into electric power grids. The power generated by wind farm should be transmitted that can maintain large power flow. To enhance power transfer capability and the system stability, series capacitive compensation is a very cost-effective technique, since through long transmission lines large amount of power must be transmitted. This leads to occurring of sub-synchronous resonance. The phenomenon SSR can be damped by FACTS devices. In this paper, we proposed a modified IEEE Second Benchmark Model for damping SSR in hybrid system comprises of Steam and wind power generation system by using Static Synchronous Series Compensator (SSSC). Adaptive Neuro Fuzzy Inference System (ANFIS) and (FLDC) Fuzzy Logic Damping Controller are used to have a pitch angle optimal control in high speed of wind..

Keywords

Sub-Synchronous Resonance (SSR), Static Synchronous Series Compensator (SSSC), DFIG, Wind and Steam turbine, ANFIS.

Citation

MAHESWARAN, SIDDAPPA NAIDU, SSSC based SSR mitigation in hybrid system using optimized fuzzy logic controller, Optoelectronics and Advanced Materials - Rapid Communications, 9, 3-4, March-April 2015, pp.424-430 (2015).

Submitted at: March 7, 2015

Accepted at: March 19, 2015