It is known that keeping the power balance between generation and demand crucial in containing system frequency within acceptable limits. This especially important for renewable based distributed hybrid microgrid (DH?G) systems where deviations are more likely to occur. In order address these issues, this article develops a prominent dual-level “proportional-integral-one plus double derivative ...

<span>Due to the great level of wind energy penetration in existing network, huge efforts have been directed enhance grid-connected generator performance. This paper shows an application a hybrid algorithm particle swarm optimization and gravitational search (PSO-GSA) transient stability grid-tied conversion system. The variable-speed turbine (VSWT) direct-drive permanent-magnet synchrono...

This Paper presents a comparative study of Genetic Algorithm method (GA) and Particle swarm optimization (PSO) method to determine the optimal proportional-integral (PI) and proportional-integral-derivative (PID) controller parameters, for speed control of a Field Oriented Control (FOC) induction motor. The FOC induction motor has been modeled in MATLAB (SIMULINK); the GA and PSO algorithm has ...

Particle Swarm Optimization (PSO) is proposed in our research to generate Fuzzy Controller, a fuzzy logic control (FLC) is proposed to control manufacturing system presented by mmachine line as an m-order state-space. As results indicated, use particle swarm optimization (PSO) method for optimizing a fuzzy logic controller (FLC) for manufacturing system is better than that of fuzzy logic contro...

renewable energy sources like wind, sun, and hydro are considered as a reliable alternative to the traditional energy sources such as oil, natural gas, or coal. this paper describes modeling and simulations to determine a method for the power performance evaluation of autonomous wind turbine system. a speed control regulator is utilized to control the dc bus voltage. the inverter gate’s signals...

This chapter describes the design of controllers for the ideal CSTR using soft computing techniques namely, genetic algorithm and fuzzy logic. In this chapter, an attempt has been made to obtain the optimal PI controller parameters for each operating region using GA technique. GA based PI implements the characteristics of global optimization to optimize the PI control parameters Kp and Ki to pr...

This paper presents a novel approach for tuning unified power flow controller (UPFC) based damping controller in order to enhance the damping of power system low frequency oscillations. The design problem of damping controller is formulated as an optimization problem according to the eigenvalue-based objective function which is solved using iteration particle swarm optimization (IPSO). The effe...

Frequency deviation is a one of major technical issue of a interconnected power system. In this paper an optimized Proportional-Integral-Derivative (PID) controller ios proposed for controlling the frequency deviation. To optimize the gain values of controller, the Adaptive Particle Swarm Optimization (APSO) algorithm is utilized. Tuning of controllers is done in order to get the gain values or...

The active power filter has gained much more attention because of its effective performance to mitigate the harmonics. This paper presents shunt active power filter (SAPF) controlled by PI controller to compensate the harmonics. Also, it introduces a new artificial intelligent technique called Bacterial Foraging Optimization to optimize the parameters of the PI-controller through on-line self-a...