Design and allocation of power system stabilizers using the particle swarm optimization technique for an interconnected power system

2012 ◽  
Vol 34 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Hossam E. Mostafa ◽  
Metwally A. El-Sharkawy ◽  
Adel A. Emary ◽  
Kamel Yassin
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Power System Stabilizers ◽  
Swarm Optimization ◽  
Interconnected Power System ◽  
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.

scholarly journals Dynamic Economic Dispatch Assessment Using Particle Swarm Optimization Technique

2018 ◽  
Vol 7 (3) ◽  
pp. 458-464
Author(s):  
Muhammad Murtadha Othman ◽  
Mohd Affendi Ismail Salim ◽  
Ismail Musirin ◽  
Nur Ashida Salim ◽  
Mohammad Lutfi Othman
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Transmission Lines ◽  
Optimization Technique ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Optimal Operation ◽  
Swarm Optimization ◽  
Particle Swarm Optimization Technique ◽  
Dynamic Economic Dispatch

This paper presents the application of particle swarm optimization (PSO) technique for solving the dynamic economic dispatch (DED) problem. The DED is one of the main functions in power system planning in order to obtain optimum power system operation and control. It determines the optimal operation of generating units at every predicted load demands over a certain period of time. The optimum operation of generating units is obtained by referring to the minimum total generation cost while the system is operating within its limits. The DED based PSO technique is tested on a 9-bus system containing of three generator bus, six load bus and twelve transmission lines.

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