Solving a Linear Programming with Fuzzy Constraint and Objective Coefficients

Erfanian, Hamid Reza; Abdi, Mohammad Javad; Kahrizi, Sahar

doi:10.5815/ijisa.2016.07.07

Cited by 3 publications

(1 citation statement)

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“…The current error is sent through a rule base and after performing defuzzification it generated gate pulses for DSTATCOM. A fuzzy controller has following stages of fuzzification, rule base, evaluation of rules and defuzzification [25,31,32]. Always error is considered as the control inputs and it is further transformed to fuzzy variables.…”

Section: Fuzzy Control Strategymentioning

confidence: 99%

Power Quality Improvement for Wind Energy Conversion System using Composite Observer Controller with Fuzzy Logic

M.B¹,

Saravanan.²

2018

IJISA

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In this paper, power quality at the distribution system has been examined by introducing an observer based control technique with fuzzy logic controller for wind energy conversion systems with constant wind velocity, for combination of linear, nonlinear loads and with load removal in one of the phases. The power quality improvement, including voltage regulation and reactive power management on the distribution side is achieved and the device used here is a distributed static compensator (DSTATCOM) a voltage source converter(VSC) based power electronic device. The performance is found to be satisfactory with the implementation of DSTATCOM for better voltage regulation with self-sustained DC link voltage at VSC of DSTATCOM. The fuzzy logic controller is used to generate gate pulses to VSC for power quality improvement and is simulated in MATLAB environment and results are studied. IndexTerms-Distributed static compensator (DSTATCOM), fuzzy logic controller, induction generator, nonlinear load, power quality, voltage control, voltage source controller (VSC).

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Section: Fuzzy Control Strategymentioning

confidence: 99%