Particle swarm optimisation and its applications in power converter systems
نویسندگان
چکیده
Particle swarm optimisation (PSO) algorithm is known for its easy implementation and has been empirically shown to perform well in many optimisation problems. Thus, it is expected to mitigate the computational burden associated with the solutions of non-linear transcendental equations relevant to problems related to power converter systems. This paper starts with an overview of the general concept of PSO and its variants. It then continues with a review on the application of the PSO algorithm in power converter systems. Then, a sample application is described, focusing on the implementation of the harmonic elimination pulse width modulation (HEPWM) technique on a single-phase inverter circuit. The results of a simulation and experimental work on the inverter operation have revealed that the PSO method employed is capable of accurately calculating the relevant switching angles and generating the gate signals for the inverter power devices and improving its overall system performance.
منابع مشابه
A Hybrid Constrained Genetic Algorithm / Particle Swarm Optimisation Load Flow Algorithm
This paper develops a hybrid Constrained Genetic Algorithm and Particle Swarm Optimisation method for the evaluation of the load flow in heavy-loaded power systems. The new algorithm is demonstrated by its applications to find the maximum loading points of three IEEE test systems. The paper also reports the experimental determination of the best values of the parameters for use in the Particle ...
متن کاملLoad Frequency Control in Power Systems Using Improved Particle Swarm Optimization Algorithm
The purpose of load frequency control is to reduce transient oscillation frequencies than its nominal valueand achieve zero steady-state error for it.A common technique used in real applications is to use theproportional integral controller (PI). But this controller has a longer settling time and a lot of Extramutation in output response of system so it required that the parameters be adjusted ...
متن کاملHybrid constrained genetic algorithm/particle swarm optimisation load flow algorithm
This paper develops a hybrid Constrained Genetic Algorithm and Particle Swarm Optimisation method for the evaluation of the load flow in heavy-loaded power systems. The new algorithm is demonstrated by its applications to find the maximum loading points of three IEEE test systems. The paper also reports the experimental determination of the best values of the parameters for use in the Particle ...
متن کاملOptimization of grid independent diesel-based hybrid system for power generation using improved particle swarm optimization algorithm
The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and ...
متن کاملParticle Swarm Optimisation of a Terminal Synergetic Controllers for a DC-DC Converter
DC-DC converters are widely used as reliable power source for many industrial and military applications, computers and electronic devices. Several control methods were developed for DCDC converters control mostly with asymptotic convergence. Synergetic control (SC) is a proven robust control approach and will be used here in a so called terminal scheme to achieve finite time convergence. Lyapou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IJAISC
دوره 3 شماره
صفحات -
تاریخ انتشار 2013