OPTIMAL PID TUNING FOR POWER SYSTEM STABILIZERS USING ADAPTIVE PARTICLE SWARM OPTIMIZATION TECHNIQUE

2008 ◽  
Author(s):  
Anant Oonsivilai ◽  
Boonruang Marungsri ◽  
Nader Barsoum ◽  
Sermsak Uatrongjit ◽  
Pandian Vasant
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Power System Stabilizers ◽  
Swarm Optimization ◽  
Adaptive Particle Swarm Optimization ◽  
Pid Tuning ◽  
Particle Swarm Optimization Technique

scholarly journals Optimization of PID Controller for a Hybrid Power System Using Particle Swarm Optimization Technique

2020 ◽  
pp. 353-375
Author(s):  
Sandeep Bhongade ◽  
M. P. S. Chawla ◽  
Bhumika Sahu
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Hybrid Power System ◽  
Energy Deficiency ◽  
Wind Turbine Generator ◽  
Hybrid Power ◽  
Particle Swarm Optimization Technique

With the advancement of technology, power demand is increasing day-by-day. Energy deficiency problem and increasing petroleum/diesel cost have resulted in severe impacts to many technical facts. Introduction of non-conventional energy sources such as wind and photovoltaic energy, which is clean and copiously present in nature, can be possible solutions to these problems. This chapter presents optimization of a Hybrid power system, with one of swarm intelligent algorithms named as particle swarm optimization (PSO). The hybrid system uses PID controllers for controlling its output. It has been done by studying various combinations of diesel engine generator, wind turbine generator, aqua electrolyzer, fuel cell, and battery. With the optimized system parameters, high-quality power supply can be delivered to the load and the frequency fluctuations can also be minimized.

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