Cascaded fuzzy PI controller for energy management and power quality enhance by an SAP filter applicable for grid/island operations

2021 ◽  
Author(s):  
Behera ◽  
Nalin B. Dev Choudhury
Keyword(s):  
Power Quality ◽  
Energy Management ◽  
Pi Controller ◽  
Fuzzy Pi Controller

Power Quality Control of Wind-Diesel Hybrid Power Systems Using Fuzzy PI Controller

2012 ◽  
Vol 622-623 ◽  
pp. 1022-1026
Author(s):  
Su Hyung Yang ◽  
Ho Chan Kim ◽  
Chang Jin Boo ◽  
Min Jae Kang ◽  
Eel Hwan Kim ◽  
...  
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Pi Controller ◽  
Hybrid Power Systems ◽  
Hybrid Power ◽  
Control Scheme ◽  
Fuzzy Pi Controller ◽  
Simulation Results

This paper proposes a modeling and controller design approach for a wind-diesel hybrid system including dump load. The proposed control scheme for power quality is fuzzy PI controller which has advantages of PI and fuzzy controller. Simulation results show that the proposed controller is more effective against disturbances caused by wind speed and load variation than the PI controller, and thus it contributes to a better quality wind-diesel hybrid power system.

Fuzzy-PI Controller based Modulated Multilevel UPQC under Faulty Conditions

2020 ◽  
Vol 13 (7) ◽  
pp. 1010-1021
Author(s):  
Veera Nagi Reddy.V ◽  
D.V. Ashok Kumar ◽  
Venkata R. Kota
Keyword(s):  
Power Quality ◽  
Distribution System ◽  
Reactive Power ◽  
Fuzzy Controller ◽  
Reference Signal ◽  
Pi Controller ◽  
Operating Conditions ◽  
Voltage Sag ◽  
Industrial Sectors ◽  
Fuzzy Pi Controller

Background: This paper presents voltage and current quality improvement in high/medium electrical distribution system using modulated multilevel unified power quality conditioner (MM-UPQC). Nowadays, power quality is one of the major issues due to the increase in usage of more non-linear loads in agricultural, commercial, industrial sectors. The industrial loads produce large amount of harmonics and power imbalances, which cause various power quality related issues like poor power factor, voltage sag, voltage swell, voltage interruption etc. Methods: The prime objective of this work is to design fuzzy-PI based controller based modulated multilevel UPQC for mitigation of issues related to power quality under unsymmetrical fault conditions such as LG fault and LLG fault. Results: This paper uses Instantaneous Reactive Power Theory (IRP) for phase angle adjustment with PI-fuzzy controller scheme to generate accurate reference signal for shunt and series controller of MM-UPQC. The detailed comparative analysis results of simultaneous voltage sag, swell, harmonics compensation and unsymmetrical faults mitigation are presented alongwith the MATLAB/SIMULINK software. Conclusion: Total harmonic distortion analysis is tabulated with PI and fuzzy-PI controller based MM-UPQC for different operating conditions in 4.16 KV distribution system.

scholarly journals Power Quality Control of Wind/Diesel Hybrid Power Systems Using Fuzzy PI Controller

2012 ◽  
Vol 32 (5) ◽  
pp. 1-10
Author(s):  
Su-Hyung Yang ◽  
Jung-Min Ko ◽  
Chang-Jin Boo ◽  
Min-Jae Kang ◽  
Jeong-Uk Kim ◽  
...  
Keyword(s):  
Quality Control ◽  
Power Systems ◽  
Power Quality ◽  
Pi Controller ◽  
Hybrid Power Systems ◽  
Hybrid Power ◽  
Fuzzy Pi Controller

Influence of different fuzzy operators on analytical structure and variable gains of typical interval type-2 fuzzy PI controller

2020 ◽  
Vol 39 (3) ◽  
pp. 4319-4329
Author(s):  
Haibo Zhou ◽  
Chaolong Zhang ◽  
Shuaixia Tan ◽  
Yu Dai ◽  
Ji’an Duan ◽  
...  
Keyword(s):  
Pi Controller ◽  
Real Time Control ◽  
Fuzzy Operators ◽  
Fuzzy Operator ◽  
Analytical Structure ◽  
Product Operator ◽  
Pi Controllers ◽  
Fuzzy Pi Controller ◽  
Interval Type

The fuzzy operator is one of the most important elements affecting the control performance of interval type-2 (IT2) fuzzy proportional-integral (PI) controllers. At present, the most popular fuzzy operators are product fuzzy operator and min() operator. However, the influence of these two different types of fuzzy operators on the IT2 fuzzy PI controllers is not clear. In this research, by studying the derived analytical structure of an IT2 fuzzy PI controller using typical configurations, it is proved mathematically that the variable gains, i.e., proportional and integral gains of typical IT2 fuzzy PI controllers using the min() operator are smaller than those using the product operator. Moreover, the study highlights that unlike the controllers based on the product operator, the controllers based on the min() operator have a simple analytical structure but provide more control laws. Real-time control experiments on a linear motor validate the theoretical results.

THE SETTINGS ALGORITHM OF A NEURO-FUZZY PI-CONTROLLER

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Atamurat Mambetov ◽  
Rasul Beglerbekov ◽  
Hurliman Sultanova
Keyword(s):  
Pi Controller ◽  
Neuro Fuzzy ◽  
Fuzzy Pi Controller
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