scholarly journals Comparative Analysis of Fuzzy Logic and PI Controller Based Electronic Load Controller for Self-Excited Induction Generator

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Eshani Mishra ◽  
Sachin Tiwari
Keyword(s):  
Fuzzy Logic ◽  
Rural Areas ◽  
Fuzzy Logic Control ◽  
Reactive Power ◽  
Nonlinear Load ◽  
Integral Control ◽  
Logic Control ◽  
Control Scheme ◽  
Electronic Load ◽  
Load Conditions

Rural areas suffer from limited grid connectivity. Small hydroplants can provide electricity at a cheap cost with low environmental impact in these regions. Self-excited induction generators are widely used in hydroplants since they operate on a standalone basis because of the connection of capacitor bank that provides reactive power at no load. However, SEIGs suffer from poor voltage and frequency regulation. Thus, an electronic load controller (ELC) is connected across SEIG to regulate voltage and frequency. Generally, the control scheme for an ELC circuit is based on the conventional proportional integral control, which is easy to implement and performs well under linear load conditions. However, PI controllers handle nonlinearity poorly. This paper presents a fuzzy logic control (FLC) based control scheme for ELC in a constant power generation system (SEIG). The control scheme is designed and simulated in MATLAB under both linear and nonlinear load conditions. A comparison of both the controllers is conducted which highlights the superiority of the fuzzy logic control scheme.

scholarly journals Reduced Output Fluctuations of Hybrid System using SCIG by Fuzzy Logic Controller

2019 ◽  
Vol 8 (3) ◽  
pp. 7660-7663
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Reactive Power ◽  
Nonlinear Load ◽  
Integral Control ◽  
Output Fluctuations ◽  
Linear Load ◽  
Control Scheme ◽  
Proportional Integral Control ◽  
Squirrel Cage Induction Generator

In this paper, the Squirrel Cage Induction Generator(SCIG) with distinct controllers to deal with a hybrid wind hydro scheme is employed. In order to reduce the output power fluctuations in SCIG, including energy storage in the battery, a fuzzy logic controller is proposed. This controller smoothens the reactive power to the supplied load by the wind generator. The proposed controller has faster convergence compared with usual PI controller under the presence of parametric variations and uncertainties. From literature, the control scheme as many controllers operates on the Proportional Integral control, which is easy to enforce and performs well under linear conditions of load. But the proposed controller operates not only linear load but also under nonlinear load conditions. Simulation results show the robustness of the proposed controller in eliminating the harmonics, efficiency and minimizing peak oscillations of the output voltage when compared with the conventional controller.

scholarly journals Power factor control of PV generators in local distribution networks using fuzzy logic concept

2018 ◽  
Vol 7 (2.28) ◽  
pp. 362
Author(s):  
Raed A. Shalwala
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Power Factor ◽  
Fuzzy Logic Control ◽  
Reactive Power ◽  
Distribution Network ◽  
Voltage Control ◽  
Distribution Networks ◽  
Voltage Regulation ◽  
Logic Control

One of the most important operational requirements for any electrical power network for both distribution and transmission level is voltage control. Many studies have been carried out to improve or develop new voltage control techniques to facilitate safe connection of distributed generation. In Saudi Arabia, due to environmental, economic and development perspectives, a wide integration of photovoltaic (PV) genera-tion in distribution network is expected in the near future. This development in the network may cause voltage regulation problems due to the interaction with the existing conventional control system. In a previous paper, a control system has been described using a fuzzy logic control to set the on-line tap changer for the primary substation. In this paper a new control system is proposed for controlling the power factor of individual PV invertors based on observed correlation between net active and reactive power at each connection. A fuzzy logic control has been designed to alter the power factor for the remote invertors from the secondary substation to keep the feeder voltage within the permissible limits. In order to confirm the validity of the proposed method, simulations are carried out for a realistic distribution network with real data for load and solar radiation. Results showing the performance of the new control method are presented and discussed.  

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