scholarly journals Distributed generation integration optimization using fuzzy logic controller

AIMS Energy ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 337-348 ◽  
Author(s):  
Santosh Kumar Sharma ◽  
◽  
D. K. Palwalia ◽  
Vivek Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Distributed Generation ◽  
Fuzzy Logic Controller

scholarly journals Fuzzy Logic Controller Based Distributed Generation Integration Strategy for Stochastic Performance Improvement

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Jagdish Prasad Sharma ◽  
H. Ravishankar Kamath
Keyword(s):  
Fuzzy Logic ◽  
Distributed Generation ◽  
Fuzzy Logic Controller ◽  
Load Ratio ◽  
Time Interval ◽  
Distributed Generations ◽  
Voltage Unbalance ◽  
Load Models ◽  
The Impact ◽  
Zip Load

In the restructured environment, distributed generation (DG) is considered as a very promising option due to a high initial capital cost of conventional plants, environmental concerns, and power shortage. Apart from the above, distributed generation (DG) has also abilities to improve performance of feeder. Most of the distribution feeders have radial structure, which compel to observe the impact of distributed generations on feeder performance, having different characteristics and composition of time varying static ZIP load models. Two fuzzy-based expert system is proposed for selecting and ranking the most appropriated periods to an integration of distributed generations with a feeder. Madami type fuzzy logic controller was developed for sizing of distributed generation, whereas Sugeno type fuzzy logic controller was developed for the DG location. Input parameters for Madami fuzzy logic controller are substation reserve capacity, feeder power loss to load ratio, voltage unbalance, and apparent power imbalances. DG output, survivability index, and node distance from substation are chosen as input to Sugeno type fuzzy logic controller. The stochastic performance of proposed fuzzy expert systems was evaluated on a modified IEEE 37 node test feeder with 15 minutes characteristics time interval varying static ZIP load models.

scholarly journals Microgrid Stability Enhancement by using Coordination of SFCL, SMES and Distributed Generation Units with Fuzzy Logic Controller

2019 ◽  
Vol 8 (2) ◽  
pp. 5548-5554
Keyword(s):  
Fuzzy Logic ◽  
Distributed Generation ◽  
Fuzzy Logic Controller ◽  
Magnetic Energy ◽  
Short Circuit ◽  
Superconducting Magnetic Energy Storage ◽  
Fault Ride Through ◽  
The Stability ◽  
Stability Enhancement ◽  
Magnetic Energy Storage

By the coordination of the superconducting fault current limiter (SFCL), superconducting magnetic energy storage (SMES) and distributed generation (DG) units, the stability of the microgrid is increased under short circuit fault conditions. And by this coordination control, the microgrid is smoothly separated from the main network under severe fault and attains a fault ride through (FRT) operation under minor fault. In this paper, to overcome the drawbacks of the PI controller a fuzzy logic controller (FLC) is used in the controller of the SFCL. This proposed method is carried out in a MATLAB/Simulink. The results show the achievement of a better control strategy.

Fuzzy Based Analysis of Inverter Fed Micro Grid in Islanding Operation-Experimental Analysis

2015 ◽  
Vol 5 (4) ◽  
pp. 464 ◽  
Author(s):  
Yuvaraja Teekaraman ◽  
Gopinath Mani
Keyword(s):  
Fuzzy Logic ◽  
Distributed Generation ◽  
Experimental Analysis ◽  
Fuzzy System ◽  
Hardware Implementation ◽  
Fuzzy Logic Controller ◽  
Test Results ◽  
Good Consistency ◽  
Islanding Operation ◽  
Micro Grid

Islanding operation in essence connotes isolating part of a power system not unlike distributed generation. This thesis puts forward fuzzy logic controller for inverter fed micro-grid in islanding operations which is assessed using hardware implementation. It’s assisted by power electronics which imparts the control and flexibility essential for the micro grid concept. A correctly designed controller guarantees that the micro grid can meet its utility’s demands. The efficacy and robustness is deliberated in the design of fuzzy system. The testing is performed by employing hardware components namelyATMEGA-328microcontroller, TLP250 opto-coupler and a MOSFET circuit. The test results demonstrate very good consistency and show noteworthy implications of the control of micro grid using inverters and fuzzy controllers.

Application Fuzzy Logic System for Accurate Sheet Trim Shower Position

2019 ◽  
Vol 3 (1) ◽  
pp. 186-192
Author(s):  
Yudi Wibawa
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Dc Motor ◽  
Automation System ◽  
Paper Making ◽  
System A ◽  
Accurate Position ◽  
And Performance ◽  
Better Than ◽  
Logic System

This paper aims to study for accurate sheet trim shower position for paper making process. An accurate position is required in an automation system. A mathematical model of DC motor is used to obtain a transfer function between shaft position and applied voltage. PID controller with Ziegler-Nichols and Hang-tuning rule and Fuzzy logic controller for controlling position accuracy are required. The result reference explains it that the FLC is better than other methods and performance characteristics also improve the control of DC motor.

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