Abstract-- This paper studies control of load frequency in single area power system with PID controller. In this study, PID parameters are improved using the multi-objective genetic algorithm technique. The proposed controller compared with a conventional PID controllers tuned by Ziegler-Nicholas technique, Particle Swarm Optimization (PSO). The effectiveness of the anticipated scheme is confirmed throw the comparison of steady state response characteristics. For this study, MATLAB-Simulink software is used
This paper deals with soft computing technique, used for tuning PID controller. Controller tuned wit...
In this paper a hybrid Genetic-Tabu Search Algorithm (GT) is used for tuning the elements of a PID c...
This paper, deals with tuning of PID controller for the Load Frequency Control (LFC) system of an in...
ABSTRACT: This Paper presents a comparative study of Genetic Algorithm method (GA) and Particle swa...
In this work, an isolated power system requiring a Load Frequency Control (LFC) by the application o...
In this paper, determining the optimal proportionalintegral- derivative (PID) controller gains of an...
Abstract—This paper presents a Genetic algorithm application to the area of load-frequency control (...
In this paper, an evolutionary computing approach for determining the optimal values for the proport...
In this paper, meta-heuristic optimization based on Particle Swarm (PSO) and Bacterial foraging (BFO...
Development of electrical power systems led to search for a new mathematical methods to find the val...
AbstractThere are many methods available for Load frequency control in an interconnected power syste...
Rapid human population has led to increasing number of load demand. This load demand increased could...
The Load Frequency Control (LFC) problem is one of the most important subjects in the electric power...
Abstract In power systems, Low Frequency Oscillations (LFO) in the range of 0.1 – 2.5 Hz have been s...
It is quite challenging to obtain the optimal load frequency control (LFC) of a complete system with...
This paper deals with soft computing technique, used for tuning PID controller. Controller tuned wit...
In this paper a hybrid Genetic-Tabu Search Algorithm (GT) is used for tuning the elements of a PID c...
This paper, deals with tuning of PID controller for the Load Frequency Control (LFC) system of an in...
ABSTRACT: This Paper presents a comparative study of Genetic Algorithm method (GA) and Particle swa...
In this work, an isolated power system requiring a Load Frequency Control (LFC) by the application o...
In this paper, determining the optimal proportionalintegral- derivative (PID) controller gains of an...
Abstract—This paper presents a Genetic algorithm application to the area of load-frequency control (...
In this paper, an evolutionary computing approach for determining the optimal values for the proport...
In this paper, meta-heuristic optimization based on Particle Swarm (PSO) and Bacterial foraging (BFO...
Development of electrical power systems led to search for a new mathematical methods to find the val...
AbstractThere are many methods available for Load frequency control in an interconnected power syste...
Rapid human population has led to increasing number of load demand. This load demand increased could...
The Load Frequency Control (LFC) problem is one of the most important subjects in the electric power...
Abstract In power systems, Low Frequency Oscillations (LFO) in the range of 0.1 – 2.5 Hz have been s...
It is quite challenging to obtain the optimal load frequency control (LFC) of a complete system with...
This paper deals with soft computing technique, used for tuning PID controller. Controller tuned wit...
In this paper a hybrid Genetic-Tabu Search Algorithm (GT) is used for tuning the elements of a PID c...
This paper, deals with tuning of PID controller for the Load Frequency Control (LFC) system of an in...