Proceedings ArticleDOI
Controlling Megawatt Class WECS by ANFIS Network Trained with Modified Genetic Algorithm
TLDR
The generated mechanical power from Wind Energy Conversion System (WECS) is highly susceptible on wind energy absorbed by turbine blades whereas they can cause fluctuations in generated power which is addressed by applying a novel strategy for training ANFIS network as a controller to the WECS.Abstract:
The generated mechanical power from Wind Energy Conversion System (WECS) is highly susceptible on wind energy absorbed by turbine blades whereas they can cause fluctuations in generated power. Designing a controller for WECS that leads to smooth generated mechanical power as well as high efficiency even with the presence of low wind speeds can be a challenging problem. This paper addresses this challenge by applying a novel strategy for training ANFIS network as a controller to the WECS. We firstly introducing Genetic Algorithm and Modified Genetic Algorithm optimization methods for training the adaptive network and updating the parameters of ANFIS. Then we use this trained adaptive network as a pitch angle controller for wind turbine. Comparing the results of proposed method with standard parameter optimization methods of ANFIS shows less error and training time in desired results. Also the fluctuations of wind turbine mechanical power decrease by applying trained ANFIS as a control signal for pitch angle entrance. The simulation results by using actual detailed model for wind power system show the effectiveness of the proposed method. Keywords-component; wind energy conversion system (WECS), Wind turbine, Pitch angle, Adaptive-Network-Based Fuzzy Inference System (ANFIS) controller, Optimization, Genetic Algorithm, Modified Genetic algorithmread more
Citations
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Genetic Algorithm Optimized and Type-I fuzzy logic controlled power smoothing of mathematical modeled Type-III DFIG based wind turbine system
TL;DR: In this paper, the authors discussed how to compensate for reactive power losses while reducing active power losses using a GA approach for voltage profile improvement and power smoothing in a modified Type III wind turbine system.
Proceedings ArticleDOI
Review on Scenario of Wind Power Generation and Control
TL;DR: In this article , a review work presents the worldwide generations of wind power and its control considering all constraints and parameters, and presents a hope to settle our future energy demands to be recovered the wind energy can play the vital role in this aspect.
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Review on Scenario of Wind Power Generation and Control
Chandan Kumar Barick,Bijaya Kumar Mohapatra,Subash Ranian Kabat,Kasinath Jena,Bibhu Prasad Ganthia,Chinmoy Kumar Panigrahi +5 more
TL;DR: In this article , a review work presents the worldwide generations of wind power and its control considering all constraints and parameters, and presents a hope to settle our future energy demands to be recovered the wind energy can play the vital role in this aspect.
Proceedings ArticleDOI
Power Harvesting towards Sustainable Energy Technology through Ambient Vibrations and Capacitive Transducers
Umar Jamil,Muhammad Redzuan Sulaiman,Nouman Ghafoor,Mostafa Malmir,Faisal Nawaz,Rana I. Shakoor +5 more
TL;DR: In this article , the authors present a power harvester design that uses three in-plane capacitive transducers -gap-closing, overlap-varying, and pattern-variant -to operate under ambient vibrations as input energy, leading to changes in capacitance and the harvesting of reliable electrical power.
References
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Journal ArticleDOI
A novel online training neural network-based algorithm for wind speed estimation and adaptive control of PMSG wind turbine system for maximum power extraction
TL;DR: In this article, an adaptive control scheme for maximum power point tracking of stand-alone PMSG wind turbine systems (WTS) is presented, where a neural network identifier (NNI) is designed to approximate the mechanical torque of the WTS.
Journal ArticleDOI
LQG Design for Megawatt-Class WECS With DFIG Based on Functional Models' Fidelity Prerequisites
TL;DR: In this paper, the authors investigated output power stability of a wind energy conversion system (WECS) coupled with an asynchronous doubly fed induction generator in a highly fluctuating wind environment and proposed a control strategy for maximizing energy conversion in low to medium winds, and maintaining rated output in above rated winds while keeping torsional torque fluctuations to a minimum.
Journal ArticleDOI
Modeling customer satisfaction for new product development using a PSO-based ANFIS approach
TL;DR: Comparisons indicate that the proposed approach can effectively generate customer satisfaction models and that their modeling results outperform those based on the other three methods in terms of mean absolute errors and variance of errors.
Journal ArticleDOI
Wind-turbine collective-pitch control via a fuzzy predictive algorithm
TL;DR: Simulation results demonstrate the superiority of the proposed fuzzy-predictive controller compared to a gain schedule PI controller and a mixed H2/H∞ controller.
Journal ArticleDOI
Frequency dependent strategy for mitigating wind power fluctuations of a doubly-fed induction generator wind turbine based on virtual inertia control and blade pitch angle regulation
Danny Ochoa,Sergio Martinez +1 more
TL;DR: An algorithm that allows an improved maximum power point tracking curve shifting as a function of the blade pitch angle variation has been proposed, taking advantage of the combined effect of two frequency control strategies.