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This paper presents a novel pulse width switched modulated power filter compensator (MPFC) for the voltage stability enhancement, energy utilization, loss reduction, and power factor correction in a radial distribution network using the Particle Swarm Optimization (PSO) technique. The MPFC is controlled by a novel dynamic tri-loop error driven controller. The dynamic controller is regulated to minimize...
The paper presents the application of Particle Swarm Optimization PSO technique for the tuning of error-driven self-adjusting multi loop dynamic speed regulator for large industrial PMDC motor drives. Tri-loop dynamic error driven Multi-incremental self regulating controller is simulated and tuned using Particle Swarm optimization PSO for high performance permanent magnet PMDC industrial motor drives...
The modeling and coordinated control strategy for a wind-diesel-fuel cell renewable generation system with battery backup are discussed in this paper. The proposed hybrid scheme tracks the maximum power efficiency and optimal energy capture from the wind, diesel and the fuel cell. The diesel generator set unit issued to balance the system demand power according to the total power demand in order to...
This paper presents the application of a new Particle swarm optimization technique for power system shunt filter design to ensure harmonic reduction and noise mitigation on the electrical utility grid. The proposed filter design is based on the minimization of multi objective functions. The three main filter objective functions are minimum harmonic current penetration into the electric grid system,...
The paper proposes novel FACTS based stabilization scheme for maximum energy utilization of a tidal energy system using particle swarm optimization PSO search technique. PSO is implemented in the control of a hybrid low cost dynamic filter/capacitor compensation DFC and static VAR compensator SVC (TCR+FC) scheme. The dynamic self regulating control method uses real time error to stabilize the tidal...
The paper proposes novel FACTS based stabilization scheme for maximum energy utilization of a tidal energy system using Particle Swarm Optimization PSO search technique. PSO is implemented in the control of a hybrid low cost dynamic filter/capacitor compensation DFC and Static VAR Compensator SVC (TCR+FC) scheme. The dynamic self regulating control method uses real time error to stabilize the Tidal...
In this paper, a novel optimization approach is developed to optimally solve the problem of power system shunt filter design based on discrete particle swarm optimization (DPSO) technique to ensure harmonic reduction and noise mitigation on the electrical utility grid. The proposed power filter design is based on the minimization of a multi objective function. The main power filter objective function...
The paper presents a novel application of the Particle Swarm Optimization PSO technique to control a low cost dynamic filter/capacitive compensation DFC scheme using real time dynamic error tracking to stabilize an isolated stand alone Wind Energy Conversion Scheme (WECS). The novel Dynamic Filter Capacitor Compensation scheme (DFC) serves as dynamic voltage stabilization regulator for wind energy...
The paper presents a novel AC and DC stabilization scheme system for a Wave Energy Converter (WEC) using Permanent Magnet Linear Generator PMLG connected to a six pulse diode rectifier. The proposed dynamic controller of the WEC-Battery renewable energy system is based on Particle Swarm Optimization(PSO) technique. The optimization search algorithm is implemented to control a novel low cost dynamic...
The paper presents the novel application of particle swarm optimization PSO for the optimal tuning of an incremental sliding mode variable structure controller for high performance permanent magnet PMDC industrial motor drives. The proposed dynamic tri-loop controller utilizes the motor speed error (eomega), the armature current deviation (eI) from its maximum or ldquospecifiedrdquo allowable current...
The paper presents the optimal tuning of the modified PID controller gains for high performance permanent magnet PMDC industrial motor drives based on particle swarm optimization PSO. The modified PID controller implements another control parameter of the integral of the total error square. This will smooth the starting torque; enhance acceleration and dynamic tracking of the reference speed. The...
This paper presents the application of a new particle swarm optimization technique for adjusting the gains of a PID speed controller adaptively to give the minimum integral absolute error between the speed demand and the output response, minimum settling time, and minimum overshoot for a separately excited dc drive. The new technique converts all objective functions to a single objective function...
The paper presents a novel discrete search optimization and approach to solve the problem of the hybrid power filter compensator with design a C-type filter and fixed capacitor bank using discrete multi objective particle swarm optimization MOPSO method. This is to ensure both loss reduction and harmonic current mitigation on electrical utility grid. This novel optimization approach, a multi objective...
In this paper, a control scheme based on Multi-Objective Particle Swarm optimization MOPSO is proposed, which is able to tune the PID controller parameters simultaneously in order to find the set of trade-off optimal solutions that is called Pareto-set optimization solution of the conflicting objective functions for DC motor drive system. Multi Objective Particle Swarm Optimization MOPSO is implemented...
The paper presents the novel application of particle swarm optimization PSO for the optimal tuning of PID controller for high performance permanent magnet PMDC industrial motor drives. This will smooth the starting torque; enhance acceleration and dynamic tracking of the reference speed. The permanent magnet PMDC motor drive is fed from a 3-phase AC supply via a six pulse thyristor controlled rectifier...
This paper presents an optimization controller for three-phase induction motor. In this controller, Multi Objective Particle Swarm Optimization MOPSO is implemented to tackle all the conflicting goals that define the problem. This paper deals with two conflicting objective functions. These conflicting functions are: 1. Maximize the efficiency of the drive system, and 2. Maximize the power factor of...
This paper presents the application of neural network based on PSO for losses and operating cost minimization control in the induction motor drives. In this paper, four strategies for induction motor speed control are proposed. Those four strategies are based on PSO and called maximum efficiency strategy, minimum stator current strategy, maximum power factor strategy, and maximum weighted cost strategy...
This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, two strategies for induction motor speed control are proposed. Those two strategies are based on PSO and called maximum efficiency strategy and minimum operating cost strategy. The proposed technique is based on the principle that the flux level in a machine can...
This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, maximum efficiency strategy for induction motor speed control is proposed. The proposed technique is based on the principle that the flux level in a machine can be adjusted to give maximum efficiency for a given value of speed and load torque. The main advantages...
This paper presents the application of PSO for losses and operating cost minimization control in the induction motor drives. In this paper, two strategies for induction motor speed control are proposed. Those two strategies are based on PSO and called maximum efficiency strategy and minimum operating cost strategy. The proposed technique is based on the principle that the flux level in a machine can...
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