Matlab Design and Simulation of AGC and AVR for Multi Area Power System and Demand Side Management

Dabur, Parveen; Yadav, Naresh Kumar; Tayal, Vijay Kumar

doi:10.7763/ijcee.2011.v3.324

Cited by 14 publications

(12 citation statements)

References 4 publications

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“…To scrutinise the effect of the AVR loop of conventional units on frequency behaviour in the presence of wind farm collaboration, this loop has been studied in this model. The small effect of voltage variation on active power ΔP e can be presented as a combination of synchronising power coefficient P s and angle alteration Δδ [27,28] ΔP e = P S Δδ + K 2 E′…”

Section: Load Frequency Model Considering Wind Farm Participationmentioning

confidence: 99%

Load frequency control by de‐loaded wind farm using the optimal fuzzy‐based PID droop controller

Abazari¹,

Monsef²,

2018

IET Renewable Power Generation

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In this study, the authors represent a modelling to analyse and simulate renewable power generation for two area power systems in the presence of high penetrated wind farm. The performance of assumed power systems may hazard without appropriate frequency amelioration methodologies. To complete the LFC model for two area power systems, the combination of automatic generation control and automatic voltage regulation of thermal units is considered. Due to the decline in the total inertia of power system associated with wind farm contribution, the self-tuning and adaptive fuzzy-based PID droop can be proposed in the structure of wind turbines instead of the fixed/traditional PID droop in de-loaded area to ameliorate the frequency excursions. Besides, the artificial bee colony algorithm can tune the parameters of membership functions for input and output signals based on a multi-objective function (MOF). The proposed strategy control is proved to be accurately stable under various load changes and yields more satisfactory performance in comparison to the conventional PID droop. This research generally includes wind farm collaboration in the frequency control by inertia, primary and secondary frequency control.

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Section: Load Frequency Model Considering Wind Farm Participationmentioning

confidence: 99%

Load frequency control by de‐loaded wind farm using the optimal fuzzy‐based PID droop controller

Abazari¹,

Monsef²,

2018

IET Renewable Power Generation

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“…Thus, the generator field current is increased, which result in an increase in generated e.m.f. The reactive power generation is increased to a new equilibrium, raising the terminal voltage to desired value [7]. (1)…”

Section: Concept Of Automatic Voltage Regulator (Avr)mentioning

confidence: 99%

Modelling and Simulation of Automatic Voltage Regulator System

Ibrahim¹,

Jiya²,

Harrison³

2017

IJCA

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For obtaining efficient stability and good regulation of different devices in power system and industrial applications, automatic voltage regulators (AVR) are increasingly used. However, AVR without any controller will provides slow responses due to disturbance and may cause instability. In this study therefore, the objective is to consider a generator AVR system without PID controller and with PID controller, where the PID controller was tuned with a view for improving the response of the system and make comparison between the frequency deviation step response and the tuned PID controller block performance using linear block model and control techniques in MATLAB / Simulink environment, in which the design configuration and automated PID turning was used to tuned the PID controller for AVR system without and with PID controller for generator 1 and generator 2 respectively. Simulation results indicates that generator 1 shows higher frequency overshoot and oscillation as compared to generator 2, which shows low frequency overshoot and minimum oscillation. The performance response of the tuned AVR system in generator 2 with PID controller gives satisfactory settling time which was recorded at 1.44 second as against 5.54 second.

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“…Voltage Regulator Using Particle Swarm Optimization Dabur at el [16], analysis the AGC of interconnected thermal systems with combination of automatic voltage regulation (AVR), design implementation and operation of fuzzy controller is shown.…”

Section: Optimal Control Of Automatic Generation With Automaticmentioning

confidence: 99%

Optimal Control of Automatic Generation with Automatic Voltage Regulator Using Particle Swarm Optimization

Sambariya¹,

Nath²

2015

ujca

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A simultaneous study of load frequency control and automatic voltage regulation is considered. The singlearea and two-area power systems have been considered with a combined model of AGC and AVR for analysis of frequency and voltage deviation. The primary aspect of the design is to keep real power control as to preserve frequency of the system in a prescribed limit. Reactive power control is used to keep the voltage magnitude of synchronous generator at a tolerable limit. The transients produced in dynamic responses are controlled using intelligent and soft-computing technique. The fuzzy logic controller and particle swarm optimization based PID controllers are considered. The steady state error and settling time of the dynamic responses are observed and found to be reduced very effectively. The frequency and terminal voltage results of a single-area power system with proposed PSO-PID controller is compared to the responses of system with controllers presented in literature and found to be more effective. The comparison of fuzzy logic controller with PSO-PID is done by observing the nature of two-area responses. The result obtained by soft computing algorithm and intelligent controller is analyzed on the basis of settling-time, undershoot and ISE Error.

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Matlab Design and Simulation of AGC and AVR for Multi Area Power System and Demand Side Management

Cited by 14 publications

References 4 publications

Load frequency control by de‐loaded wind farm using the optimal fuzzy‐based PID droop controller

Load frequency control by de‐loaded wind farm using the optimal fuzzy‐based PID droop controller

Modelling and Simulation of Automatic Voltage Regulator System

Optimal Control of Automatic Generation with Automatic Voltage Regulator Using Particle Swarm Optimization

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