Power System Stability Improvement Based on Virus Particle Swarm Optimization Algorithm
نویسندگان
چکیده
This article discusses the development of a Power System Stabilizer (PSS) utilizing Virus Particle Swarm Optimization Algorithm (VEPSO) to enhance power system stability. PSS is commonly used in industry suppress oscillations. The proposed algorithm was implemented on Single Machine Infinite Bus (SMIB) system, and controller coefficients were optimized using VEPSO. simulated under specific disturbance generator input power, generator's dynamic responses presented. VEPSO algorithm's results, such as faster convergence, compared ICA algorithm. simulation results demonstrate that recommended significantly improves system's oscillation damping performance.
منابع مشابه
Particle Swarm Optimization and Genetic Algorithm based Power Quality Improvement
The term ‘power quality’ [1-2] refers to the purity of the voltage and current wave-form, and a power quality disturbance is a deviation from the pure sinusoidal form. Harmonics superimposed on the fundamental are one cause of such deviations. Power quality problems [1-2] like voltage harmonics, voltage flickers, voltage sags and voltage swells, current harmonics, current unbalance, reactive cu...
متن کاملParticle Swarm Optimization and Genetic Algorithm based Power Quality Improvement
The term ‘power quality’ [1-2] refers to the purity of the voltage and current wave-form, and a power quality disturbance is a deviation from the pure sinusoidal form. Harmonics superimposed on the fundamental are one cause of such deviations. Power quality problems [1-2] like voltage harmonics, voltage flickers, voltage sags and voltage swells, current harmonics, current unbalance, reactive cu...
متن کاملOptimal Setting Gain of Pss-avr Based on Particle Swarm Optimization for Power System Stability Improvement
This paper presents the settings of automatic voltage regulator (AVR) and power system stabilizer (PSS) on a single machine infinite bus (SMIB) to improve the dynamic stability of the power system. This setting is done by determining the fitness function of AVR (KA) and PSS (KPSS) gain using Particle Swarm Optimization (PSO) algorithm. The main purpose of this setting is to minimize the oscilla...
متن کاملOptimization of grid independent diesel-based hybrid system for power generation using improved particle swarm optimization algorithm
The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and ...
متن کاملDesign of a New IPFC-Based Damping Neurocontrol for Enhancing Stability of a Power System Using Particle Swarm Optimization
The interline power flow controller (IPFC) is a concept of the FACTS controller for series compensation which can inject a voltage with controllable magnitude and phase angle among multi lines. This paper proposes a novel IPFC-Based Damping Neuro-control scheme using PSO for damping oscillations in a power system to improve power system stability. The addition of a supplementary controll...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: European Journal of Electrical Engineering and Computer Science
سال: 2023
ISSN: ['2506-9853']
DOI: https://doi.org/10.24018/ejece.2023.7.3.526