Many areas in power systems require solving one or more nonlinear optimization problems. Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. This paper presents a detailed overview of the basic concepts of PSO and its variants. The proposed method utilizes the Particle Swarm Optimization (PSO) algor...

Sigmoid surface controller has been proved to be effective in motion control of autonomous underwater vehicles, but it is hard to adjust its control parameters. Improved particle swarm optimization of sigmoid surface controller was proposed in this paper, which solves the problems that particle swarm optimization may be trapped in local optimum and fails to converge to global optimum. Moreover,...

Due to the lack of a physical rotating rotor, photovoltaic generators (PVG) have no inertia. Therefore, replacing traditional synchronous (SG), (source inertia), with PVG will reduce inertia overall power systems. A reduced and damping feature frequently cause instability issues due high rate change frequency (RoCoF), less stringent voltage at nearby point common coupling (PCC). In this paper, ...

This paper illustrates the importance of controllers on energy saving opportunity of a partially loaded three-phase induction motor drive in variable load and speed applications. An overview of various controllers: loss model controller, search controller and their hybridization are given. Fuzzy Pre-Compensated Proportional Integral (FPPI) is used to improve motor‟s dynamic performances during ...

in most industrial zones, electric energy is one of the most important energy sources. since electrical motors are the main energy consumers of industrial factories, consumption optimization in these motors can be considered as a main option related to energy saving. one very effective way to reduce the consumption of these equipment is to use a motor speed controllers or drives. since the loss...

In today‟s world, fuzzy logic and particle swarm optimization are used to answer various engineering problems. In this paper, the proportional integral derivative (PID) controller tuning by fuzzy rule method (FRMs) and a particle swarm optimization (PSO) algorithm are proposed to improve controller by adjusting transfer function parameters. The proposed fuzzy rule function and PSO algorithm sea...

This paper considers an approach to design a controller used for the air-to-fuel ratio (AFR) optimization in the combustion process of a power plant boiler. The optimization of the AFR will reduce the excess air level and improve the combustion efficiency in the boiler system. The combustion improvement indicates boiler operating cost savings. The fuzzy logic controller, which is a method of a ...

In this study, a fuzzy proportional integral derivative controller (FPID) was adjusted using the differential evolution (DE) method to enhance automated generation control (AGC) of three-zone reheat-type power system. The objective function used in study an time-weighted absolute error (ITAE). optimization, gain parameters (PI), (I), and FPID were optimized compared improve limitations drawn by...

In this article, three evolutionary search algorithms: particle swarm optimization (PSO), simulated annealing (SA) and genetic algorithms (GA), have been employed to determine the optimal parameter values of fractional-order (FO)-PI controllers implemented in dual active bridge-based (DAB) DC microgrid. The optimum strategy obtain parameters these FO-PI is still a major challenge for many power...

This paper proposes the design of a Proportional Integral (PI) controller using Imperialist Competitive Algorithm (ICA) to control the speed of an Induction Motor (IM) fed from wind turbine. The wind turbine plays as a prime mover to a connected DC generator. Pulse Width Modulation (PWM) is used to get three phase AC voltage from the output of DC generator. The proposed design problem of speed ...