scholarly journals Improving power system damping using EP based PI controller

2011 ◽  
Author(s):  
N. A. Mohamed Kamari ◽  
I. Musirin ◽  
M. M. Othman
Keyword(s):  
Power System ◽  
Pi Controller

scholarly journals Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243581
Author(s):  
M. F. Roslan ◽  
Ali Q. Al-Shetwi ◽  
M. A. Hannan ◽  
P. J. Ker ◽  
A. W. M. Zuhdi
Keyword(s):  
Power System ◽  
Power Quality ◽  
Transient Response ◽  
Particle Swarm ◽  
Pi Controller ◽  
Pv System ◽  
Quality Performance ◽  
Three Phase ◽  
Input Parameters ◽  
Utility Grid

The lack of control in voltage overshoot, transient response, and steady state error are major issues that are frequently encountered in a grid-connected photovoltaic (PV) system, resulting in poor power quality performance and damages to the overall power system. This paper presents the performance of a control strategy for an inverter in a three-phase grid-connected PV system. The system consists of a PV panel, a boost converter, a DC link, an inverter, and a resistor-inductor (RL) filter and is connected to the utility grid through a voltage source inverter. The main objective of the proposed strategy is to improve the power quality performance of the three-phase grid-connected inverter system by optimising the proportional-integral (PI) controller. Such a strategy aims to reduce the DC link input voltage fluctuation, decrease the harmonics, and stabilise the output current, voltage, frequency, and power flow. The particle swarm optimisation (PSO) technique was implemented to tune the PI controller parameters by minimising the error of the voltage regulator and current controller schemes in the inverter system. The system model and control strategies were implemented using MATLAB/Simulink environment (Version 2020A) Simscape-Power system toolbox. Results show that the proposed strategy outperformed other reported research works with total harmonic distortion (THD) at a grid voltage and current of 0.29% and 2.72%, respectively, and a transient response time of 0.1853s. Compared to conventional systems, the PI controller with PSO-based optimization provides less voltage overshoot by 11.1% while reducing the time to reach equilibrium state by 32.6%. The consideration of additional input parameters and the optimization of input parameters were identified to be the two main factors that contribute to the significant improvements in power quality control. Therefore, the proposed strategy effectively enhances the power quality of the utility grid, and such an enhancement contributes to the efficient and smooth integration of the PV system.

Adaptive Method for Power Quality Improvement through Minimization of Harmonics Using Artificial Intelligence

2017 ◽  
Vol 8 (1) ◽  
pp. 470 ◽  
Author(s):  
P. Thirumoorthi ◽  
Raheni T D
Keyword(s):  
Artificial Intelligence ◽  
Power System ◽  
Power Quality ◽  
Active Power Filter ◽  
Pi Controller ◽  
Active Power ◽  
Shunt Active Power Filter ◽  
Power Filter ◽  
Non Linear ◽  
Source Current

Power system harmonics are a menace to electric power system with disastrous consequence. Due to the presence of non linear load, power quality of the system gets affected.  To overcome this, shunt active power filter have been used near harmonic producing loads or at the point of common coupling to block current harmonics. The shunt active power filter is designed to minimize harmonics in source current and reactive power in the non linear power supplies which are creating harmonics. In this paper, Instantaneous power of p-q theory is employed to generate the reference currents and PI controller is used to control the dc link voltage. In addition to this, Artificial Intelligence (AI) technique is used to minimize the harmonics produced by nonlinear load. The main objective of this paper is to analyze and compare THD of the source current with PI controller and by artificial neural network based back propagation algorithm. The proposed system is designed with MATLAB/SIMULINK environment.

scholarly journals STUDI ANALISIS GOVERNOR SEBAGAI LOAD FREQUENCY CONTROL PADA PLTG MENGGUNAKAN FUZZY LOGIC CONTROLLER

2018 ◽  
Vol 17 (1) ◽  
pp. 107
Author(s):  
Gusti Made Ngurah Christy Aryanata ◽  
I Nengah Suweden ◽  
I Made Mataram
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Pi Controller ◽  
Active Power ◽  
Load Frequency Control ◽  
Electrical Power System ◽  
Load Frequency ◽  
Frequency Changes

A good electrical power system is a system that can serve the load in a sustainable and stable voltage and frequency. Changes in frequency occur due to the demand of loads that change from time to time. The frequency setting of the PLTG power system depends on the active power charge in the system. This active power setting is done by adjusting the magnitude of the generator drive coupling. The frequency setting is done by increasing and decreasing the amount of primary energy (fuel) and carried on the governor. Simulation in governor analysis study as load frequency control at PLTG using fuzzy logic controller is done by giving four types of cultivation that is 0,1 pu, 0,2pu, 0,3 pu and 0,4 pu. The simulation is done to compare the dynamic frequency response output and the resulting stability time using fuzzy logic controller with PI controller. Based on the results of comparative analysis conducted to prove that governor as load frequency control using fuzzy logic control is better than using PI controller. This can be seen from the output response frequency and time stability.

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