Advanced Optimal PSO, Fuzzy and PI Controller with PMSM and WTGS at 5Hz Side of Generation and 50Hz Side of Grid

2016 ◽  
Vol 7 (1) ◽  
pp. 173
Author(s):  
Salam Waley Shneen ◽  
Chengxiong Mao ◽  
Dan Wang
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Control Systems ◽  
Fuzzy Logic Controller ◽  
Energy Content ◽  
Pi Controller ◽  
Dc Bus

To use different control systems, Like Classical PI Controller, Expert System, Fuzzy Logic Controller and Optimization PSO Controller. It used to control for PMSM which worked in integration system to Wind Energy. Wind Energy content of wind turbine, PMSM, Rectifier, DC bus, Inverter, Filter, Load and Grid. In the first step, to run the PMSM with different speeds to get different frequency to selected the frequency in side of generation with the rated speed. Second step, solve the mathematical equation to use different values of wind speed with selected (15,20 m/s and less than with more than 15&20m/s). Third step, Calculation the power generation with wind speed (15 m/5 & 20 m/s). Fourth step, using these component system Rectifier, DC bus, Inverter, Filter, Load & Grid with WTGS & PMSM. Final step, use different control systems, Like Classical PI Controller, Expert System Fuzzy Logic Controller and Optimization PSO Controller With PMSM to analysis all results after using the simulation model of proposed variable speed based WECS. The wind turbine coupled with PMSM.A closed loop control system with a PI control,Fuzzy, PSO in the speed loop with current controllers .The simulation circuits for PMSM, inverter, speed and current controllers include all realistic components of the drive system. These results also confirmed that the transient torque and current never exceed the maximum permissible value.

scholarly journals Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

2015 ◽  
Vol 64 (2) ◽  
pp. 291-314 ◽  
Author(s):  
Maziar Izadbakhsh ◽  
Alireza Rezvani ◽  
Majid Gandomkar
Keyword(s):  
Fuzzy Logic ◽  
Wind Speed ◽  
Dynamic Response ◽  
Wind Turbine ◽  
Hybrid System ◽  
Pitch Angle ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Control Technique ◽  
Power Curves

Abstract In this paper, dynamic response improvement of the grid connected hybrid system comprising of the wind power generation system (WPGS) and the photovoltaic (PV) are investigated under some critical circumstances. In order to maximize the output of solar arrays, a maximum power point tracking (MPPT) technique is presented. In this paper, an intelligent control technique using the artificial neural network (ANN) and the genetic algorithm (GA) are proposed to control the MPPT for a PV system under varying irradiation and temperature conditions. The ANN-GA control method is compared with the perturb and observe (P&O), the incremental conductance (IC) and the fuzzy logic methods. In other words, the data is optimized by GA and then, these optimum values are used in ANN. The results are indicated the ANN-GA is better and more reliable method in comparison with the conventional algorithms. The allocation of a pitch angle strategy based on the fuzzy logic controller (FLC) and comparison with conventional PI controller in high rated wind speed areas are carried out. Moreover, the pitch angle based on FLC with the wind speed and active power as the inputs can have faster response that lead to smoother power curves, improving the dynamic performance of the wind turbine and prevent the mechanical fatigues of the generator

Pitch angle control for grid-connected variable-speed wind turbine system using fuzzy logic: A comparative study

2016 ◽  
Vol 40 (6) ◽  
pp. 528-539 ◽  
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly
Keyword(s):  
Fuzzy Logic ◽  
Wind Speed ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Fuzzy Logic Controller ◽  
Proportional Integral ◽  
Wind Turbine System ◽  
Modeling Uncertainties ◽  
Integral Controller ◽  
Proportional Integral Controller

Pitch angle control is considered as a practical technique for power regulation above the rated wind speed. As conventional pitch control commonly the proportional–integral controller is used. However, the proportional–integral type may well not have suitable performance if the controlled system contains nonlinearities as the wind turbine system or the desired wind trajectory varied with higher frequency. In the presence of modeling uncertainties, the necessity of methods presenting controllers with appropriate performance as the advanced control strategies is inevitable. The pitch angle based on fuzzy logic is proposed in this work. We are interested to the development of a wind energy conversion system based on permanent magnet synchronous generator. The fuzzy logic controller is effective to compensate the nonlinear characteristics of the pitch angle to the wind speed. The design of the proposed strategy and its comparison with a conventional proportional–integral controller are carried out. The proposed method effectiveness is verified using MATLAB simulation results.

Power Quality Improvement in Wind Energy Generation Using Fuzzy Logic Controller

2014 ◽  
Vol 984-985 ◽  
pp. 730-739
Author(s):  
S. Sasi Rekha ◽  
K. Arokia James Immanuvel
Keyword(s):  
Fuzzy Logic ◽  
Wind Energy ◽  
Power Quality ◽  
Single Phase ◽  
Fuzzy Logic Controller ◽  
Digital Signal ◽  
Energy Generation ◽  
Pi Controller ◽  
Wind Energy Generation ◽  
Harmonic Distortions

Nowadays, renewable energies have been widely applied to achieve eco friendly objectives. This paper presents the development of a single-phase grid-connected wind energy generation with the improvement in power quality and efficiency. This mainly focuses on showing the improvement in power quality by overcoming the drawbacks with the existing wind energy generation based on the PLL with the discrete PI controller. It is found that Total Harmonic Distortions (THD) present in PLL Single-phase grid-connected wind energy generation can be reduced by using modified PLL method. The modified wind energy generation is based on PLL with Fuzzy logic controller instead of PLL with discrete PI controller. The PLL gets input from the load side, and compare with any one parameters current or voltage (closed loop system). The aim of this survey is to propose a new topology in (HCM) HILL CLIMB METHOD. The tasks related to the SVPWM algorithm, the PLL, the MPPT algorithm, and the monitoring of the DC voltage were successfully implemented in the DSC. Keywords – Total Harmonic Distortions, Phase Locked Loop, Discrete PI Controller, Fuzzy logic controller, Space Vector Pulse Width Modulation, Maximum Power Point Tracking, Digital Signal Controller.

scholarly journals Design of pitch angle controller for wind turbine based on pi neurofuzzy model

2019 ◽  
Vol 15 (3) ◽  
pp. 1662
Author(s):  
Ammar A. Aldair ◽  
Mofeed T. Rashid ◽  
Ali F. Halihal ◽  
Mastaneh Mokayef
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Control Systems ◽  
Output Power ◽  
Pitch Angle ◽  
Rotation Speed ◽  
Electrical Power ◽  
Pi Controller ◽  
Speed Controller ◽  
Aerodynamic Torque

<p>Aerodynamic torque of wind turbine is adjusted by controlling the pitch angle of the blades of the turbine when the wind speed is higher than rated wind speed. So that, in the recent research in this field, the pitch angle controller becomes dominated controller type for extracting the electrical power from the wind energy. Three types of the pitch angle control systems are designed to construct the speed controller: conventional PI controller, Neurofuzzy controller and modified PI-Neurofuzzy controller. The results are shown that the modified PI-Neurofuzzy controller is more efficient than the others because the rotation speed of generator is kept almost constant. It means that the generated output power has remained constant at maximum power limited even the wind speed rises up the rated wind speed.</p>

SHAPING OF AN AUTONOMOUS POWER SYSTEM FOR GUARANTEED POWER SUPPLY WITH THE PREDOMINANCE WIND ENERGY

2018 ◽  
pp. 28-50
Author(s):  
S. G. Ignatiev ◽  
S. V. Kiseleva
Keyword(s):  
Energy Storage ◽  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Energy Demand ◽  
Diesel Generator ◽  
Average Wind Speed ◽  
Wind Speeds ◽  
Average Wind

Optimization of the autonomous wind-diesel plants composition and of their power for guaranteed energy supply, despite the long history of research, the diversity of approaches and methods, is an urgent problem. In this paper, a detailed analysis of the wind energy characteristics is proposed to shape an autonomous power system for a guaranteed power supply with predominance wind energy. The analysis was carried out on the basis of wind speed measurements in the south of the European part of Russia during 8 months at different heights with a discreteness of 10 minutes. As a result, we have obtained a sequence of average daily wind speeds and the sequences constructed by arbitrary variations in the distribution of average daily wind speeds in this interval. These sequences have been used to calculate energy balances in systems (wind turbines + diesel generator + consumer with constant and limited daily energy demand) and (wind turbines + diesel generator + consumer with constant and limited daily energy demand + energy storage). In order to maximize the use of wind energy, the wind turbine integrally for the period in question is assumed to produce the required amount of energy. For the generality of consideration, we have introduced the relative values of the required energy, relative energy produced by the wind turbine and the diesel generator and relative storage capacity by normalizing them to the swept area of the wind wheel. The paper shows the effect of the average wind speed over the period on the energy characteristics of the system (wind turbine + diesel generator + consumer). It was found that the wind turbine energy produced, wind turbine energy used by the consumer, fuel consumption, and fuel economy depend (close to cubic dependence) upon the specified average wind speed. It was found that, for the same system with a limited amount of required energy and high average wind speed over the period, the wind turbines with lower generator power and smaller wind wheel radius use wind energy more efficiently than the wind turbines with higher generator power and larger wind wheel radius at less average wind speed. For the system (wind turbine + diesel generator + energy storage + consumer) with increasing average speed for a given amount of energy required, which in general is covered by the energy production of wind turbines for the period, the maximum size capacity of the storage device decreases. With decreasing the energy storage capacity, the influence of the random nature of the change in wind speed decreases, and at some values of the relative capacity, it can be neglected.

Design and performance evaluation of vertical axis wind turbine for wind energy harvesting at railway

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hashwini Lalchand Thadani ◽  
Fadia Dyni Zaaba ◽  
Muhammad Raimi Mohammad Shahrizal ◽  
Arjun Singh Jaj A. Jaspal Singh Jaj ◽  
Yun Ii Go
Keyword(s):  
Wind Speed ◽  
Energy Harvesting ◽  
Wind Energy ◽  
Wind Turbine ◽  
High Speed ◽  
Vertical Axis ◽  
Speed Ratio ◽  
Vertical Axis Wind Turbine ◽  
Modeling Tools ◽  
Content Type

PurposeThis paper aims to design an optimum vertical axis wind turbine (VAWT) and assess its techno-economic performance for wind energy harvesting at high-speed railway in Malaysia.Design/methodology/approachThis project adopted AutoCAD and ANSYS modeling tools to design and optimize the blade of the turbine. The site selected has a railway of 30 km with six stops. The vertical turbines are placed 1 m apart from each other considering the optimum tip speed ratio. The power produced and net present value had been analyzed to evaluate its techno-economic viability.FindingsComputational fluid dynamics (CFD) analysis of National Advisory Committee for Aeronautics (NACA) 0020 blade has been carried out. For a turbine with wind speed of 50 m/s and swept area of 8 m2, the power generated is 245 kW. For eight trains that operate for 19 h/day with an interval of 30 min in nonpeak hours and 15 min in peak hours, total energy generated is 66 MWh/day. The average cost saved by the train stations is RM 16.7 mil/year with battery charging capacity of 12 h/day.Originality/valueWind energy harvesting is not commonly used in Malaysia due to its low wind speed ranging from 1.5 to 4.5 m/s. Conventional wind turbine requires a minimum cut-in wind speed of 11 m/s to overcome the inertia and starts generating power. Hence, this paper proposes an optimum design of VAWT to harvest an unconventional untapped wind sources from railway. The research finding complements the alternate energy harvesting technologies which can serve as reference for countries which experienced similar geographic constraints.

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