Fuzzy Particle Swarm Optimization Method Research Articles

A fuzzy particle swarm optimization method with application to shape design problem

In this study, we focus on a specific class of bilateral free boundaries problems. We approach this problem by formulating it as a shape optimization problem using a defined cost functional. The existence of an optimal solution for the optimization problem is proved. To tackle this problem, we propose an iterative approach that combines the particle swarm optimization and fuzzy logic methods. Additionally, we employ the finite element method as a discretization technique for the state equation. To validate our approaches, we investigate various types of domains. Furthermore, we compare the performance of these approaches in two scenarios: one with exact measurements used for identification and another with noisy measurements.

Decentralized Optimal Servo Control System for Implementing Instantaneous Reactive Power Sharing in Microgrids

Active power is dispatched among distributed generation (DG) units in microgrids (MG) by means of f/P droop control loop, which controls the frequency set-point of voltage source converter (VSI). Since the frequency is a global variable, active power sharing is implemented well proportional to droop coefficients. However, the reactive power is not shared accurately, through V/Q control loop and according to the droop gains, as the voltage is a local variable. Furthermore, considering the small scale of DG units, reactive power sharing should be implemented instantaneously to prevent DG units from overcurrent or even blackout of the MG. This paper deals with reactive power sharing issue in droop control-based MGs as well as stability and dynamic performance concerns of V/Q control loop. A servo control system is designed to control power converters in MGs, by which droop-based VSIs are converted to servo VSIs (S-VSIs). A novel decentralized method is proposed to obtain the reactive power set-points of S-VSIs according to their droop coefficients, and fuzzy particle swarm optimization method is used to optimize the S-VSI's parameters, so that, in addition to securing stability of the V/Q loop, the desired (fast) response in reference tracking is achieved. The simulation results show that the proposed strategy is effective and its performance is not affected by delay or interruption of the existing low bandwidth communication link.

A new optimal approach for improvement of active power filter using FPSO for enhancing power quality

Abstract In the recent years, development of industry cause to increase nonlinear and time variant loads in power systems. These loads bring about power quality phenomena such as voltage and current harmonics, current unbalance and flicker in power systems. In this paper, an optimal method for active power filter is proposed to improve power quality. The control system of APF is based on combination of the synchronous detection method, instantaneous power theory, and output of DC capacitor voltage regulator. To stabilize the DC voltage and improvement of reference currents, PID controller is suggested. Regarding to intense changes of load in power system due to nonlinear load, PID controller with fixed parameters could not adequate for the APF control. Therefore, Fuzzy Particle Swarm Optimization method is proposed for optimizing of PID controller. This method is found on PSO and Fuzzy algorithm. To evaluate the proposed method, the APF is modeled in the worst conditions with a power system loaded with two electric arc furnace. In addition, in order to make good use of frequency changes in the power system, the power frequency estimation is put to use.