Search Results - ((((conversion algorithm) OR (control algorithm))) OR (generation algorithm))

Direct power control method of maximum power point tracking (MPPT) algorithm for Pico-Hydrokinetic River Energy Conversion System by Wan Ismail, Ibrahim, Raja Mohd Taufika, Raja Ismail, Mohd Rusllim, Mohamed

“…The proposed MPPT algorithm is a combination of modified hill-climbing search algorithm (MHCS) with the current PI-controller. …”
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Grey wolf optimization for enhanced performance in wind power system with dual-star induction generators by Benamara K., Amimeur H., Hamoudi Y., Abdolrasol M.G.M., Cali U., Ustun T.S.

“…This study investigates strategies for enhancing the performance of dual-star induction generators in wind power systems by optimizing the full control algorithm. …”

Fuzzy based BSA optimization for maximum power point tracking controller performance evaluation by Sayem M.A., Nadzirah A., Al-Shetwi A.Q., Hannan M.A., Ker P.J., Rahman S.A., Muttaqi K.M.

“…Computer circuits; Controllers; Conversion efficiency; Fuzzy logic; Learning algorithms; Power control; Solar energy; Solar power generation; Vehicle performance; Algorithms optimizations; Backtracking search algorithms; Controller performance; Fuzzy logic control; Fuzzy logic controllers; Maximum Power Point Tracking; Optimization method; Performances evaluation; Power; Tracking controller; Maximum power point trackers…”

Analyzing The Potential Of Genetic Algorithm For Maximum Power Point Tracking In Wind Energy Conversion System In Malaysia by Nasrullah Bin Isnin

“…In this paper, a maximum power point tracking for the wind turbine is proposed which is the indirect speed control. A genetic algorithm is used to further optimised the control strategy by finding the optimised variable for the controller. …”

Adaptive Step Size Based Hill-Climb Search Algorithm for MPPT Control of DFIG-WECS With Reduced Power Fluctuation and Improved Tracking Performance by Uddin M.N., Amin I.K.

A PI based coordinated maximum power point tracking controller for grid connected photovoltaic system / Md Haidar Islam by Md Haidar, Islam

“…The proposed MPPT algorithm is used to maximize a conversion efficiency of a PV array. …”
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Grey Wolf optimization based power management strategy for battery storage of dfig-wecs in standalone operating mode by Nasir Uddin M., Khairul Amin I., Rezaei N., Marsadek M.

“…Battery management systems; Battery storage; Electric batteries; Electric fault currents; Electric load flow; Electric power generation; Energy conversion; Energy management systems; Heuristic algorithms; Optimization; Wind; Wind power; Battery power managements; Bidirectional converter (BDC); Doubly fed induction generator (DFIG); Doubly Fed Induction generators (DFIG); Stand-alone modes; Wind energy conversion system; Wind energy systems; Wind power generation systems; Asynchronous generators…”

An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter by Priyadarshi N., Ramachandaramurthy V.K., Padmanaban S., Azam F.

“…Ant colony optimization; Artificial intelligence; Computer circuits; DC-DC converters; Electric inverters; Fuzzy logic; Maximum power point trackers; Particle swarm optimization (PSO); Permanent magnets; Secondary batteries; Synchronous generators; Two term control systems; Wind power; Ant Colony Optimization (ACO); D-space; Fuzzy logic control; Fuzzy logic control (FLC); Particle swarm optimization algorithm; Permanent Magnet Synchronous generator (PMSG); Proportional-integral control; Stand alone power systems; Electric rectifiers…”

AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

“…Algorithm conversion to C code programming has been done throughout the project for the obstacle avoidance and path planning algorithms based upon the GA platform ofAI.…”
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PI controller based genetic algorithm for PV inverter using SPWM technique / Muhammad Hafiz Dzikri Mohammad Salihhuddin by Mohammad Salihhuddin, Muhammad Hafiz Dzikri

“…This study focuses on optimizing a three-phase photovoltaic (PV) inverter system using Sinusoidal Pulse Width Modulation (SPWM) with Genetic Algorithm (GA)-optimized Proportional-Integral (PI) controllers. …”
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ANFIS based neuro-fuzzy control of dfig for wind power generation in standalone mode by Amin I.K., Nasir Uddin M., Marsadek M.

“…Adaptive control systems; Asynchronous generators; Controllers; Electric drives; Electric fault currents; Electric power generation; Fuzzy control; Fuzzy inference; Fuzzy logic; Fuzzy neural networks; Inference engines; Robust control; Two term control systems; Wind; Wind power; Adaptive network based fuzzy inference system; Doubly fed induction generator (DFIG); Doubly fed induction generators; Neural network algorithm; Neuro-fuzzy controller; Proportional-integral control; Stand-alone modes; Wind energy conversion system; Electric machine control…”

Microgrid control methods toward achieving sustainable energy management by Roslan M.F., Hannan M.A., Ker P.J., Uddin M.N.

“…Electric power system control; Electric power transmission networks; Energy conservation; Energy conversion; Energy management; Energy utilization; Environmental technology; Maximum power point trackers; Quality control; Renewable energy resources; Smart power grids; Stochastic systems; Sustainable development; Control methods; Maximum power point tracking controls; Micro grid; Operation and management; Renewable energy source; Sustainable energy; Sustainable energy management; Technological development; Energy management systems; algorithm; alternative energy; control system; energy efficiency; methodology; operations technology; power generation; quality control; smart grid; stochasticity; sustainability; sustainable development; technological development…”

Power prediction mode technique for Hill Climbing Search algorithm to reach the maximum power point tracking by Badawi, Ahmed Samir, Hasbullah, Nurul Fadzlin, Yusoff, Siti Hajar, Hassan Abdalla Hashim, Aisha, Khan, Sheroz, Zyoud, Alhareth Mohammed

“…Moreover, novel algorithm not requires any prior knowledge of WECS and it's considered absolutely independent of Wind Turbine (WT) generator. …”
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Multi-Objective Optimal Energy Management of Nanogrid Using Improved Pelican Optimization Algorithm by Jamal S., Pasupuleti J., Rahmat N.A., Tan N.M.L.

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Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing by Nasiruddin, Sadan, Wan Ismail, Ibrahim

“…Various methods and techniques have been applied in hydrokinetic energy conversion systems to extract maximum power. This paper presents the performance of the Hill Climbing Search (HCS) MPPT Algorithm in hydrokinetic energy harnessing in terms of steady-state oscillation, time tracking, and efficiency. …”
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PARTICLE SWARM OPTIMIZATION MAXIMUM POWER POINT TRACKING FOR PARTIALLY SHADED SOLAR PV by Alvin, Ngu Tien Leong

“…The objectives of this thesis are to synthesis, simulate and evaluate the robustness of PSO algorithm for MPPT under PSC. The energy conversion system and PSO algorithm were simulated in MATLAB/Simulink. …”
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Variable Speed Control Of Two-Mass Wind Turbine System Via State Feedback With Adaptation Law by Mohamad Murad, Nor Syaza Farhana

“…Wind turbine convert kinetic energy from the wind to rotational energy and then to electrical energy.In a wind energy conversion system (WECS),its electrical power control (EPC) side demanded a maximum mechanical power from the mechanical power control (MPC) side despite any intermittent wind and seasonal interference.Therefore,it is necessary to develop a variable speed algorithm for a modern WECS.For a two-mass horizontal axis wind turbine, the rotor and generator stiffness is commonly being neglected in the system dynamic.The inclusion of stiffness in system dynamic introduces integral term in the system expression and hence,incur mathematical complexity in the controller design phase.Contrary,this study consider stiffness as unknown parameter in the wind turbine dynamic.In order to obtain the maximum output power,the design of an algorithm with adaptation law for the speed control of a two-mass wind turbine system with an unknown stiffness is proposed in this research.The algorithm is formulated using a full-state feedback.In pursuance of solving the tracking control as a regulation case,the speed of the turbine is bijective mapped into the error dynamic.The stability of the proposed algorithm is guaranteed by Lyapunov.The adaptation law used in the variable speed algorithm is to successfully acquire the adaptability of the algorithm towards an unknown stiffness.Therein,the estimated stiffness is augmented in the Lyapunov function.The Lie derivative of the function is made into a negative semi-definite via the non-negative control parameters.In order to control the rotor speed to sustain the optimum tip-speed ratio (TSR),as well as obtaining the maximum power output from the turbine,the proposed algorithm is constructed.A MATLAB with Simulink® toolbox is used to validate the effectiveness of the proposed control speed.The simulation result showed that the rotor speed achieved an asymptotic tracking towards the demanded rotor speed irrespective of the stiffness value.The error is proved to be minimized as the integral of absolute error (IAE) obtained for wind turbine with stiffness ranging from 134550 Nmrad-1,269100 Nmrad-1,and 403650 Nmrad-1 are recorded as 0.003088,0.003063 and 0.003088 respectively. …”
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A multi-control vehicle-to-grid charger with bi-directional active and reactive power capabilities for power grid support by Tan K.M., Padmanaban S., Yong J.Y., Ramachandaramurthy V.K.

“…Charging (batteries); DC-DC converters; Electric inverters; Electric power transmission networks; Electric vehicles; Power control; Reactive power; Rectifying circuits; Vehicle-to-grid; Vehicles; Voltage control; Voltage regulators; Active and Reactive Power; Efficient control; Grid voltage controls; Power conversion; Power factor corrections; Reactive power compensation; Selection algorithm; Unity power factor; Electric power system control; accuracy assessment; algorithm; control system; electric vehicle; energy efficiency; operations technology; performance assessment; power generation; scenario analysis…”

Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter by Taghvaee, Mohammad Hossein

“…Simulation results are presented to validate performance of the algorithm under different irradiation schemes, and to compare with the results obtained from conventional algorithm. …”
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Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

“…To prepare for obstacle avoidance algorithm development, a differential drive robot was constructed, and a URDF description was prepared to ensure correct odometry data conversion from sensor coordinate frames to the robot coordinate frame. …”
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