The major concern in power systems has been the problem of low frequency oscillations (LFO) that results in the reduction of the power transfer capabilities. The applications of power system stabilizers (PSS) are commonly employed to dampen these low frequency oscillations. The parameters of the PSS are tuned by considering the Heffron-Phillips model of a single machine infinite bus system (SMIB). Tuning of these parameters for the system considered can be done using iteration particle swarm optimization (IPSO) technique in this paper; mainly the lead lag type of PSS was used to damp these low frequency oscillations. The proposed technique (IPSO)'s capabilities are compared with the traditional PSO and genetic algorithm (GA) technique in te...
This paper presents a systematic procedure for modeling and simulation of a power system equipped wi...
Abstract This paper presents a modified Iteration Particle Swarm Optimization (IPSO) algorithm to tu...
In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power...
Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscil...
This paper presents a novel method for designing robust Power System Stabilizer (PSS) using Particle...
In this paper, the Unified Power Flow Controller (UPFC) is enhanced with a Chaotic Particle Swarm Op...
AbstractThe problem of coordinated tuning stabilizers in multi-machine power systems is formulated h...
ABSTRACT: Low frequency oscillation problems are very difficult to solve because power systems are v...
In a power system, Low Frequency Oscillations (LFOs) are dangerous and make system unstable. These\u...
Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscil...
Power system stabilizers (PSSs) are used to generate supplementary control signals to excitation sys...
Modern civilization is driven mainly by electricity and hence a reliable and secure power system pla...
In recent years, the occurrence of Low Frequency Oscillations (LFOs) has increased due lo the growth...
Studies on power system stability are necessary for power network development & operation. Due t...
Abstract In power systems, Low Frequency Oscillations (LFO) in the range of 0.1 – 2.5 Hz have been s...
This paper presents a systematic procedure for modeling and simulation of a power system equipped wi...
Abstract This paper presents a modified Iteration Particle Swarm Optimization (IPSO) algorithm to tu...
In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power...
Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscil...
This paper presents a novel method for designing robust Power System Stabilizer (PSS) using Particle...
In this paper, the Unified Power Flow Controller (UPFC) is enhanced with a Chaotic Particle Swarm Op...
AbstractThe problem of coordinated tuning stabilizers in multi-machine power systems is formulated h...
ABSTRACT: Low frequency oscillation problems are very difficult to solve because power systems are v...
In a power system, Low Frequency Oscillations (LFOs) are dangerous and make system unstable. These\u...
Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscil...
Power system stabilizers (PSSs) are used to generate supplementary control signals to excitation sys...
Modern civilization is driven mainly by electricity and hence a reliable and secure power system pla...
In recent years, the occurrence of Low Frequency Oscillations (LFOs) has increased due lo the growth...
Studies on power system stability are necessary for power network development & operation. Due t...
Abstract In power systems, Low Frequency Oscillations (LFO) in the range of 0.1 – 2.5 Hz have been s...
This paper presents a systematic procedure for modeling and simulation of a power system equipped wi...
Abstract This paper presents a modified Iteration Particle Swarm Optimization (IPSO) algorithm to tu...
In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power...