Modeling and control of PV/Wind Microgrid

Khalil, Ashraf; Alfaitori, Khalid Ateea; Asheibi, Ali

doi:10.1109/irec.2016.7478916

Cited by 29 publications

(9 citation statements)

References 10 publications

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“…According to manufacturer, the Hummer wind generator permanent magnetic generator (PMG) is used to convert rotor rotational power to electrical power. Many researchers reported that for small wind turbine, PMG is desirable because the generator is light weight, available, small dimensions, low in noise, swift in startup, quick in heat dissipation, and high in efficiency (Khalil et al, 2016; Zafar et al, 2016). In addition, the types of generator that can be connected to wind turbines and the advantages and disadvantages are presented by Tahir et al (2017b).…”

Section: Wind Turbine Componentmentioning

confidence: 99%

A practical seasonal performance evaluation of small wind turbine in urban environment

et al. 2019

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Due to the low environmental impact, smaller storage units, low wind speed, low power system distribution network impact, and low maintenance, small wind turbines have gained more attention. However, the usage of small turbines usually faces several shortcomings, and the actual yield is often lower than expected, generally because the output power is low when compared with the manufacturer, and the actual wind turbine behavior does not reproduces. In a view of performance evaluation of a small wind turbines using high-accuracy measurement devices to measure wind speed and energy production, this article illustrates an experimental seasonal performance evaluation of a 0.5-kW Hummer small wind turbine, placed in an urban environment. In addition, we study the influence of the height in the energy output and analyze its effect in the system performance, which is another aim in this work. Three cases have been carried out: 4 m in order to protect rotor blades during strong winds and storms in the first scenario and 6 m the manufacturing height in the second scenario while 10 m the third case. A 0.5-kW Hummer wind turbine has been installed in Noagia-Benghazi since 2010 for educational purposes, field studies, training, graduate projects, and research. The wind turbine seasonal performance under different periods was obtained and compared in terms of the wind speed, output power, energy production, and average wind speed. The average wind speed is 6.4, 4, 5.8, and 4 m/s, and the average energy production is 948.24, 172.8, 648, and 172.8 kWh in spring, summer, winter, and autumn, respectively. Spring has the highest wind speed followed by winter and autumn then summer for all height. Improvement is attained if the wind turbine tower height is 6 m, and 10 m where more energy is harvested. But the main problem at 10 m is that the system control needs more improvement because the wind speed exceeds 14 m/s which represents the maximum speed. The system can produce about 1.942 MW yearly and save CO2 emissions.

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Section: Wind Turbine Componentmentioning

confidence: 99%

A practical seasonal performance evaluation of small wind turbine in urban environment

et al. 2019

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“…They can handle the nonlinear dynamics of the system. In terms of interleaving technique, some existing models have not used the DC-DC converter interleaving technique, such as [4], [5], while in [7], only inverters are interleaved. From the perspective of control (MPPT) algorithms, some existing models only have MPPT on the PV side, such as [9], while some have neither used the interleaving technique nor the ANFIS-PID.…”

Section: Introductionmentioning

confidence: 99%

Interleaved boost converter voltage regulation using hybrid ANFIS-PID controller for off-grid microgrid

et al. 2023

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The utilization of a microgrid with a photovoltaic (PV) and wind generation system presents a challenge due to their voltage and power output variations. This problem is majorly addressed within the converter section of the microgrid using maximum power point tracking (MPPT) algorithms and voltage regulation strategies. This paper presents an interleaved boost converter (IBC) modeling and voltage control using a hybrid adaptive neuro-fuzzy inference system-proportional plus integral plus derivative (ANFIS-PID) controller for an off-grid microgrid. The modeling used the interleaving technique to obtain the microgrid’s transfer function (TF) and case study simulation models within MATLAB and Simulink environments. The performance of the ANFIS-PID controller, which regulates voltage in the microgrid, was compared to that of the traditional proportional integral (PI) controller. Results indicated that the hybrid ANFIS-PID controller performed better than the PI controller in terms of reduced settling time, overshoot, rise time, and the ability to address the nonlinear dynamics of the microgrid.

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“…This, in turn will result in reducing these resources revenue whenever there is an increasing energy demand while increasing the CO 2 emission. To resolve the problem caused by using fossil fuel power plants, renewable energy sources should be used (Aldricy et al, 2018; Khalil et al, 2016; Shankar et al, 2016; Tahir et al, 2017a, 2017b; Yahyaoui et al, 2016; Mraoui et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Optimization of small wind turbine blades using improved blade element momentum theory

et al. 2018

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Typically, it is desired to operate the wind turbine at the maximum power point. However, in small wind turbines which have a storage system integrated with them, harvesting as much energy as possible is more crucial. This may be achieved by reducing the cut-in speed while maximizing the mechanical power. These two goals may be achieved by optimizing the turbine blades. In this article, the turbine blades are optimized using improved blade element momentum theory including Viterna-Corrigan stall model with the objective to yield low cut-in speed and high power level. Using the blade element momentum analysis, the power coefficient curves as functions of tip-speed ratio at various range of wind speeds are obtained for the optimized turbine. Using MATLAB/Simulink tool, a wind energy system, which consists of a wind turbine, permanent magnet synchronous generator and a resistive load, is simulated. The curves obtained from the blade element momentum analysis are used to emulate the wind turbine. The results obtained from the simulation are compared to experimental results. It is noticed that the wind turbine may be optimized to harvest more energy.

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Modeling and control of PV/Wind Microgrid

Cited by 29 publications

References 10 publications

A practical seasonal performance evaluation of small wind turbine in urban environment

A practical seasonal performance evaluation of small wind turbine in urban environment

Interleaved boost converter voltage regulation using hybrid ANFIS-PID controller for off-grid microgrid

Optimization of small wind turbine blades using improved blade element momentum theory

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