In an Electric Submersible Pump (ESP) lifted oil field, the ESP of each oil well should be operated inside its operating window. The total power consumed by the ESPs in the oil field should be minimized. The speed of the ESPs and the production choke valve opening should be optimally chosen for maximizing the total oil produced from the oil field. At the same time, the capacity of the separator...

This paper deals a detailed performance investigation of asymmetrical six-phase grid connected induction generator (GCIG) in two proposed configurations variable speed operation. During the system development, regulation DC-link voltage has been using particle swarm optimization (PSO) based PI controller, ensuring power flow to utility through back converters. The closed loop operation GCIG ind...

Abstract: H∞ controller synthesis is a well known design method for which efficient dedicated methods have been developed. However, such methods compute a full order controller which has often to be reduced to be implemented. Indeed, the reduced order H∞ synthesis is a non convex optimization problem due to rank constraints. In this paper, a particle swarm optimization method is used to solve s...

Frequency, voltage and power flow between different control zones in an interconnected system are used to determine the standard quality of power. Therefore, frequency IPS is vital importance maintaining real reactive balance under varying load conditions. In this paper, a dandelion optimizer (DO)-based proportional-integral-proportional-derivative (PI-PD) controller investigated for realistic ...

The objective of this work is to find out optimum settings for a fractional PI controller in order to fulfil three different robustness specifications of design for the compensated system, taking advantage of the fractional order, λ. Since this fractional controller has one parameter more than the conventional PI controller, one more specification can be fulfilled, improving the performance of ...

Proportional – Integral – Derivative control schemes continue to provide the simplest and effective solutions to most of the control engineering applications today. However PID controller is poorly tuned in practice with most of the tuning done manually which is difficult and time consuming. This research comes up with a soft computing approach involving Genetic Algorithm, Evolutionary Programm...

In this study, a new artificial intelligence based optimization method is applied to optimize the gains of PID controller for Automatic Voltage Regulator (AVR) system. A dynamic performance of the controller which is optimized with ABC algorithm is compared with the results which are obtained with Particle Swarm Optimization (PSO). The transient response analysis is used in order to determine t...

this paper presents fuzzy and conventional performance of model reference adaptive control(mrac) to control a dc drive. the aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. the operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...

In this paper, a novel method is developed for designing the output feedback controller for Static Synchronous Series Compensator (SSSC). In the proposed method, the problem of selecting the output feedback gains for the SSSC controllers is changed into an optimization problem with a time domain-based objective function.Then, it is solved by using the particle swarm optimization (PSO) algorithm...

Proportional-Integral-Derivative (PID) and Proportional-Integral (PI) controllers are applied into the power system to examine the controller performance. Therefore, this work describes the application of an Artificial Intelligence (AI) optimization technique to design Proportional-Integral-Derivative (PID) controller for Load Frequency Control (LFC) of single area re-heat thermal power system....