@article{(Open Science Index):https://publications.waset.org/pdf/10000132,
	  title     = {Assessment Power and Frequency Oscillation Damping Using POD Controller and Proposed FOD Controller},
	  author    = {Yahya Naderi and  Tohid Rahimi and  Babak Yousefi and  Seyed Hossein Hosseini},
	  country	= {},
	  institution	= {},
	  abstract     = {Today’s modern interconnected power system is
highly complex in nature. In this, one of the most important
requirements during the operation of the electric power system is the
reliability and security. Power and frequency oscillation damping
mechanism improve the reliability. Because of power system
stabilizer (PSS) low speed response against of major fault such as
three phase short circuit, FACTs devise that can control the network
condition in very fast time, are becoming popular. But FACTs
capability can be seen in a major fault present when nonlinear models
of FACTs devise and power system equipment are applied. To realize
this aim, the model of multi-machine power system with FACTs
controller is developed in MATLAB/SIMULINK using Sim Power
System (SPS) blockiest. Among the FACTs device, Static
synchronous series compensator (SSSC) due to high speed changes
its reactance characteristic inductive to capacitive, is effective power
flow controller. Tuning process of controller parameter can be
performed using different method. But Genetic Algorithm (GA)
ability tends to use it in controller parameter tuning process. In this
paper firstly POD controller is used to power oscillation damping.
But in this station, frequency oscillation dos not has proper damping
situation. So FOD controller that is tuned using GA is using that
cause to damp out frequency oscillation properly and power
oscillation damping has suitable situation.
	    journal   = {International Journal of Energy and Power Engineering},
	  volume    = {8},
	  number    = {11},
	  year      = {2014},
	  pages     = {1801 - 1807},
	  ee        = {https://publications.waset.org/pdf/10000132},
	  url   	= {https://publications.waset.org/vol/95},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 95, 2014},