International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
SIMULATION OF A MATHEMATICAL MODEL OF A WIND TURBINE Mellah Hacene
Abstract
This paper presents a mathematical model of a wind turbine and its simulation. This is one of the main resources available to
the island system (Grid-Off system).
Keywords: wind turbine, island system, Grid-Off system, renewable energy source.
1 Introduction to wind turbine
A wind turbine is basically a converter, or in other words a device that transforms one type of energy into
another. In this case, it is the transformation of mechanical energy into electrical energy.
The source of mechanical energy is the flow (flow) of air, which acts on the turbine blades. The blades are
located on a shaft which is coupled to a permanent magnet (magnet). The magnets are a rotating part, which is
named the rotor. The stator consists of a coil (coils) of wound copper conductor. Due to the changing magnetic
field (PM - permanent magnets), an electrical voltage is induced at the terminals (terminals) of the coil / coils. In
essence, it is a synchronous generator, since the variable electric field is coupled (synchronized) with the speed
of the changing and magnetic fields. [1-5]
A schematic block diagram of a wind turbine as a synchronous generator is shown in Fig. 1.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
SIMULATION OF A MATHEMATICAL MODEL OF A WIND TURBINE Mellah Hacene
Abstract
This paper presents a mathematical model of a wind turbine and its simulation. This is one of the main resources available to
the island system (Grid-Off system).
Keywords: wind turbine, island system, Grid-Off system, renewable energy source.
1 Introduction to wind turbine
A wind turbine is basically a converter, or in other words a device that transforms one type of energy into
another. In this case, it is the transformation of mechanical energy into electrical energy.
The source of mechanical energy is the flow (flow) of air, which acts on the turbine blades. The blades are
located on a shaft which is coupled to a permanent magnet (magnet). The magnets are a rotating part, which is
named the rotor. The stator consists of a coil (coils) of wound copper conductor. Due to the changing magnetic
field (PM - permanent magnets), an electrical voltage is induced at the terminals (terminals) of the coil / coils. In
essence, it is a synchronous generator, since the variable electric field is coupled (synchronized) with the speed
of the changing and magnetic fields. [1-5]
A schematic block diagram of a wind turbine as a synchronous generator is shown in Fig. 1.
Using statistical and machine learning techniques to forecast the PV solar power, which can be implemented for: • Managing the economic dispatch, unit commitment, and trading of PV solar power generations with other conventional generations; • Using with situational awareness tools to manage the ramp limitation; Optimal energy management of energy storage systems; • Voltage regulator settings on feeders with PV distributed generation.
An interactive approach for solar energy system:design and manufacturing IJECEIAES
The energy production in the word is a very complex problem with decreasing the pollution. Therefore, the aim is to find an optimal solution, this research focuses on the development and the optimization of parabolic concentrator using an interactivity approach and virtual design tools. Recently, several works have been developed in this area. In this study, a new conception, design Optimization approach has been involved in system energy design including new concept. The design strategy has been successfully applied to design problems. The optimizer tool developed for based on Heuristic: Gravitational Search Algorithm. The results of the presented in this paper are significant in the system energy design, which presents an effective approach of development by reducing the cost of installation, the time of analysis by increasing the radiation and solar flux concentrated within the parabola generating an increase in accumulated energy.
Design and performance evaluation of a solar tracking panel of single axis in...IJECEIAES
This paper presents the mechanical design of a single axis solar tracking system, as well as the electronic design of a system that to record in real time the electric power delivered by the solar tracker and to evaluate its performance. The interface was developed in Labview and it compares the power supplied by the tracker with the power supplied by static solar panel of the same characteristics. The performance is initially simulated using Pv-Syst software, and later validated with the data obtained by the interface. As a result, the use of the solar tracker increases the power delivered by a minimum of 19%, and it can go as high as 47.84%, with an average in increase in power of 19.5% in the monthly energy production. This experimental result was compared with the simulation by Pv-Syst software and shows a difference of only 2.5%, thus validating the reliability of the simulation. This behavior pattern coincides with previous studies carried out for equatorial latitudes.
JEE Physics/ Lakshmikanta Satapathy/ Beta decay of a nucleus and the subsequent emission of a Gamma ray photon with the related concepts of mass defect and excitation energy
46 optimization paper id 0017 edit septianIAESIJEECS
This paper is a comparisation study between an experimental data and Matlab simulation of output PV characteristic affected by the orientation and the tilt angle of a photovoltaic solar module with inclined plane and by the dimension of the panel. The PV panel was rotated towards the east, south and west and positioned for the angles 0°, 30°, 45°, 60° and 90°. In this position, the values of current, voltage and power are measured. In the other side, using the mathematical model to calculate the solar radiation incident on an inclined surface as a function of the tilt angle was developed in MATLAB/SIMULINK model. The optimum angles were determined as positions in which maximum values of solar irradiation and maximum power were registered to characterize the P-V and V-I photovoltaic panel.
Modelling and Prediction of 150KW PV Array System in Northern India using Art...inventionjournals
In this research work modeling of solar power using feed forward back propagation (FFBP) artificial neural network. In three different ways inputs are given to FFBP to model photovoltaic module power and generated power is approximated .Six month’s data is taken i.e. from August 2015 to January 2016.Generated power is obtained at the end. All three show good modeling performance. However second input method shows the better results
A NOVEL APPROACH TO OBTAIN MAXIMUM POWER OUTPUT FROM SOLAR PANEL USING PSOijsrd.com
The configuration of a most extreme force point following (MPPT) controller for a sun based photovoltaic force framework is proposed using a help converter topology utilizing PSO calculation. Sunlight based board voltage and current are consistently checked by a shut circle focused around PSO microcontroller control framework, and the obligation cycle of the help converter persistently changed in accordance with concentrate greatest force. Framework testing affirms crest force following under changing lighting conditions. Under particular conditions, efficiencies in overabundance of 96% are demonstrated to be conceivable.
Novel method for calculating installed capacity of stand-alone renewable ene...nooriasukmaningtyas
The use of new energy sources to replace traditional energy sources is the
worldwide interest based on its irrefutable advantages, especially in regions
where supply systems Power supply cannot reach. The devices installed
capacity has a significant effect on the economy as well as on system
operation. In this paper, formulate and solve the problem of optimizing
installed capacity for devices (generators, charge controllers, storage,
inverters ...) that are used in independent renewable energy systems. In
illustrating this method of calculation, we apply it on a standalone system,
i.e., it is not connected to the power supply grid.
Using statistical and machine learning techniques to forecast the PV solar power, which can be implemented for: • Managing the economic dispatch, unit commitment, and trading of PV solar power generations with other conventional generations; • Using with situational awareness tools to manage the ramp limitation; Optimal energy management of energy storage systems; • Voltage regulator settings on feeders with PV distributed generation.
An interactive approach for solar energy system:design and manufacturing IJECEIAES
The energy production in the word is a very complex problem with decreasing the pollution. Therefore, the aim is to find an optimal solution, this research focuses on the development and the optimization of parabolic concentrator using an interactivity approach and virtual design tools. Recently, several works have been developed in this area. In this study, a new conception, design Optimization approach has been involved in system energy design including new concept. The design strategy has been successfully applied to design problems. The optimizer tool developed for based on Heuristic: Gravitational Search Algorithm. The results of the presented in this paper are significant in the system energy design, which presents an effective approach of development by reducing the cost of installation, the time of analysis by increasing the radiation and solar flux concentrated within the parabola generating an increase in accumulated energy.
Design and performance evaluation of a solar tracking panel of single axis in...IJECEIAES
This paper presents the mechanical design of a single axis solar tracking system, as well as the electronic design of a system that to record in real time the electric power delivered by the solar tracker and to evaluate its performance. The interface was developed in Labview and it compares the power supplied by the tracker with the power supplied by static solar panel of the same characteristics. The performance is initially simulated using Pv-Syst software, and later validated with the data obtained by the interface. As a result, the use of the solar tracker increases the power delivered by a minimum of 19%, and it can go as high as 47.84%, with an average in increase in power of 19.5% in the monthly energy production. This experimental result was compared with the simulation by Pv-Syst software and shows a difference of only 2.5%, thus validating the reliability of the simulation. This behavior pattern coincides with previous studies carried out for equatorial latitudes.
JEE Physics/ Lakshmikanta Satapathy/ Beta decay of a nucleus and the subsequent emission of a Gamma ray photon with the related concepts of mass defect and excitation energy
46 optimization paper id 0017 edit septianIAESIJEECS
This paper is a comparisation study between an experimental data and Matlab simulation of output PV characteristic affected by the orientation and the tilt angle of a photovoltaic solar module with inclined plane and by the dimension of the panel. The PV panel was rotated towards the east, south and west and positioned for the angles 0°, 30°, 45°, 60° and 90°. In this position, the values of current, voltage and power are measured. In the other side, using the mathematical model to calculate the solar radiation incident on an inclined surface as a function of the tilt angle was developed in MATLAB/SIMULINK model. The optimum angles were determined as positions in which maximum values of solar irradiation and maximum power were registered to characterize the P-V and V-I photovoltaic panel.
Modelling and Prediction of 150KW PV Array System in Northern India using Art...inventionjournals
In this research work modeling of solar power using feed forward back propagation (FFBP) artificial neural network. In three different ways inputs are given to FFBP to model photovoltaic module power and generated power is approximated .Six month’s data is taken i.e. from August 2015 to January 2016.Generated power is obtained at the end. All three show good modeling performance. However second input method shows the better results
A NOVEL APPROACH TO OBTAIN MAXIMUM POWER OUTPUT FROM SOLAR PANEL USING PSOijsrd.com
The configuration of a most extreme force point following (MPPT) controller for a sun based photovoltaic force framework is proposed using a help converter topology utilizing PSO calculation. Sunlight based board voltage and current are consistently checked by a shut circle focused around PSO microcontroller control framework, and the obligation cycle of the help converter persistently changed in accordance with concentrate greatest force. Framework testing affirms crest force following under changing lighting conditions. Under particular conditions, efficiencies in overabundance of 96% are demonstrated to be conceivable.
Novel method for calculating installed capacity of stand-alone renewable ene...nooriasukmaningtyas
The use of new energy sources to replace traditional energy sources is the
worldwide interest based on its irrefutable advantages, especially in regions
where supply systems Power supply cannot reach. The devices installed
capacity has a significant effect on the economy as well as on system
operation. In this paper, formulate and solve the problem of optimizing
installed capacity for devices (generators, charge controllers, storage,
inverters ...) that are used in independent renewable energy systems. In
illustrating this method of calculation, we apply it on a standalone system,
i.e., it is not connected to the power supply grid.
MATHEMATICAL MODEL OF WIND TURBINE IN GRID-OFF SYSTEM Mellah Hacene
Abstract
This paper deals with the construction of a mathematical model of a wind turbine, which is one of the sources in the Grid-Off
system.
Keywords: mathematical model, wind turbine, Grid-Off system, electric generator, wind conditions.
1 Introduction
As one of the power sources of the Grid-Off system is a wind turbine. It is advantageous to work with a
mathematical model for the need of experimental research. In Fig. 1 is a schematic connection of a wind turbine
to a container, which is a Grid-Off system. [1-4]
Design and implementation of smart electronic solar tracker based on ArduinoTELKOMNIKA JOURNAL
Demand of energy increases in the global and exponential exhaustion is favored of resources by
fossil fuel for electricity production with the new systems development. Compared with all other remainder
energies, the specialist sun energy is the most bountiful energy and it's typically easy to be changed into
electrical energy. The main thing of using solar panel is to produce electrical energy from sun's energy but
the optimum energy can be generated by tracking solar panel due to the sun movement from east to west.
The problem can be solved by proposed systems where the sun tracking by solar panel that based on high
intensity of sun ray. This paper concentrates on tracking the sun by using servo motor coupled with solar
panel. So that, the largest quantity of sun light at the incident panel along the day at any time is better than
that for method of fixed panel array which is less efficient. The microcontroller Arduino (mode UNO) was
programmed by using C++ language while the track of sun light processing was implemented by using
light depending resistor (LDR), Chip IC H-bridge and microcontroller Arduino (UNO) circuits have been
designed by using Proteus software. By circuit design and sun tracking control process, the cost reduction
has been improved and high amount of energy was saved when implemented this system.
Solar Panel Control System using an Intelligent Control: T2FSMC and Firefly A...TELKOMNIKA JOURNAL
Solar panel is a solar energy converter to electrical energy. On solar tracker, there is a controller which sets the movement of solar panel such that it is perpendicular with solar rays. Previous research had designed Type 2 Fuzzy Sliding Mode Control (T2FSMC) controller to control the position of solar panel. However, there was trial and error process to determine gain scale factor so the development of optimization method is needed. This paper aims to modify gain scale factor using Firefly algorithm to increase performance of system. The simulation shows that T2FSMC Firefly has better performance than T2FSMC. T2FSMC Firefly shows the increase of performance on rise time, settling time, and integral time absolute error.
Making model of dual axis solar tracking with Maximum Power Point Trackingijsrd.com
Now a days solar harvesting is more popular. As the popularity become higher the material quality and solar tracking methods are more improved. There are several factors affecting the solar system. Major influence on solar cell, intensity of source radiation and storage techniques The materials used in solar cell manufacturing limit the efficiency of solar cell. This makes it particularly difficult to make considerable improvements in the performance of the cell, and hence restricts the efficiency of the overall collection process. Therefore, the most attainable maximum power point tracking method of improving the performance of solar power collection is to increase the mean intensity of radiation received from the source used. The purposed of tracking system controls elevation and orientation angles of solar panels such that the panels always maintain perpendicular to the sunlight. The measured variables of our automatic system were compared with those of a fixed angle PV system. As a result of the experiment, the voltage generated by the proposed tracking system has an overall of about 28.11% more than the fixed angle PV system. There are three major approaches for maximizing power extraction in medium and large scale systems. They are sun tracking, maximum power point (MPP) tracking or both.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Detailed design procedure for solar panel mounting structure with dual axis tracking capability for Sub urban West Bengal(Wind load calculation have been done for this region only).
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Estimating the maximum energy that can be generated by solar power plant using unity power curve method
1. Estimating the maximum energy that can be generated by solar power plant
using unity power curve method
J. Amala Joseph, Graduated Engineering Trainee
Sterling and Wilson Pvt. Ltd
E-mail: josephamal50@gmail.com
Abstract
This paper briefly explains the method called “Unity Power Curve” method to find the maximum
energy of any solar power plant that can be generated for a day. The Unity power curve is named for the
curve which is obtained from the perfect Power – Time data of the solar power plant. That is, the Power
and Time value of a solar plant taken and the power values were converted to unity (i.e. the percentage of
power generated on that day was calculated). From the resultant data, a curve was drawn and the
equation of the curve was found. By using this equation of the curve area of the curve was calculated and
the resultant equation is the Unity power curve formula.
By using the resultant equation or formula, we can easily estimate the maximum energy a solar plant
can be generated when there is no dust on the modules and weather is good and clear sunny.
Keywords: Parabola, SPV- Solar Photo Voltaic, Unity Power Curve,
1. Introduction
We all know that solar power in India is a fast-growing industry. Solar energy is a potential solution to the
environmental problems being caused by fossil fuels. When fossil fuels are burned to generate electricity,
they release harmful greenhouse gases into the atmosphere. The vast majority of scientists believe that
continuing to depend on fossil fuels is going to cause serious environmental problems in the future.
Another important use for solar energy is in satellites. Many satellites are engineered with photovoltaic
panels, which capture sunlight and convert it into electricity that is used to power the satellite. Solar
power is also useful in areas where standard electricity is not available. For example, research facilities in
Antarctica depend on sustainable energy sources, such as the sun and wind turbines, to generate power.
In the solar industries one of the first question they ask us is, How much the solar plant can generate on a
day. We may wonder but there is an idea through which we can predict the energy that can a solar can be
generated for one day by using the AC capacity of the plant (which does not include the losses e.g,
Temperature loss, Dust on the modules, etc,…).
2. Unity Power Curve
The study was done from three solar SPV plants in different locations. From the analysis of power time
data of these plants some similarities were found. The similarity is all the plant have similar data if we
convert those data into percentage or unity.
Kindly refer the following table for your references.
3. 3) Plant 3 (1MW)
Time Pactive Punity = Pactive/780.614
6:00 0.0 0.00
7:00 32.4 0.04
8:00 241.1 0.31
9:00 458.9 0.59
10:00 618.0 0.79
11:00 720.4 0.92
12:00 759.4 0.97
13:00 751.3 0.96
14:00 680.5 0.87
15:00 580.2 0.74
16:00 429.0 0.55
17:00 232.0 0.30
18:00 35.2 0.05
19:00 0.0 0.00
Table 3
Thus by comparing the values of all unity power value and the average of all can be shown as,
Time Plant 1 Plant 2 Plant 3 Average
6:00 0.00 0.00 0.00 0.00
7:00 0.04 0.04 0.05 0.04
8:00 0.26 0.32 0.28 0.28
9:00 0.54 0.59 0.56 0.56
10:00 0.77 0.80 0.79 0.78
11:00 0.92 0.93 0.93 0.93
12:00 0.97 0.99 1.00 0.98
12:30 1.00 1.00 0.99 1.00
13:00 1.00 0.98 0.99 0.99
14:00 0.88 0.89 0.93 0.90
15:00 0.80 0.77 0.79 0.79
16:00 0.58 0.57 0.56 0.57
17:00 0.31 0.31 0.31 0.31
18:00 0.07 0.05 0.07 0.06
19:00 0.00 0.00 0.00 0.00
Table 4
4. The curve can be drawn from the above data,
Graph 1: Plot of the Table 4
3. Finding the equation of the Unity Power Curve
Consider the following unity table.
Time Average
6:00 0.00
7:00 0.04
8:00 0.28
9:00 0.56
10:00 0.78
11:00 0.93
12:00 0.98
12:30 1.00
13:00 0.99
14:00 0.90
15:00 0.79
16:00 0.57
17:00 0.31
18:00 0.06
19:00 0.00
Table 5
0.00
0.20
0.40
0.60
0.80
1.00
1.20
5. The curve shown in Graph 1 & 2 is similar to the parabolic curve. Hence considering the vector form of
the following parabola equation, [1], [2], [3]
( ) (1)
where,
– Focus of parabola
(h, k) – Vertex of the curve
(x, y) – Any point on the curve
Graph 2: Plot of the Table 5
Consider (h, k) = (12.5, 1), i.e. at 12:30 the generation reaches maximum,
Then the equation (1) will be,
( ) (2)
To find the focus ( ,0) of the curve, we have to substitute any point from the curve. Say, (x, y) = (16,
0.57)
Then the equation (2) will be,
( )
6. ( )
Substituting the value of in equation (1) and we get,
( ) (3)
Here =1, because Peak of this curve is 1.
Therefore the above expression is the equation of Unity power curve.
Then we need to find the area of the curve. The formula for the area of any curve for an interval ( , ) can
be given as,
∫ ( ) (4)
Let’s take our equation (3) as ( ),
( )
( ) ( )
Then, the equation (4) can be written as,
∫ ( ( ) ) (5)
Then the maximum units that a solar power plant that can be generated can be given as,
(6)
where,
– Estimated Energy generated
– Energy obtained from unity power curve
– Maximum power reached in that day
4. Proof with an Example
Example 1:
Let us take a real time data from Plant 3 (1MW) dated 29th
March 2017 and the data were listed below,
7. Total Inverter Generation – 5061
Plant Start Time ( ) – 6:40 = 6.67Hrs [10]
Plant Stop Time ( ) – 18:20 = 18.33Hrs [11]
Maximum Power Reach. ( ) – 713.923 kW
Time at Reach. ( ) – 12.20 = 12.33Hrs [12]
Hence the equation (5) can be given as,
∫ ( ( ) )
Solving the above equation,
[14]
Substituting the above value in equation (6)
Therefore,
Example 2:
Let us take a another real time data from Plant 3 (1MW) dated 30th
March 2017 and the data were listed
below,
Total Inverter Generation – 5375
Plant Start Time ( ) – 6:40 = 6.67Hrs [10]
Plant Stop Time ( ) – 18:20 = 18.33Hrs [11]
Maximum Power Reach. ( ) – 747.833 kW
Time at Reach. ( ) – 13.00 = 13Hrs
Hence the equation (5) can be given as,
∫ ( ( ) )
Solving the above equation,
[15]
8. Substituting the above value in equation (6)
Therefore,
Therefore 200 units difference is there. Thus we conclude that tolerance we can assume and
predict the energy generation.
5. Conclusion
Thus by using the above formula, we can predict the energy that can be generated by the solar power
plant, by using the AC capacity of the plant and generation up and down time of the plant.
Even though the values obtain from this formula is approximation we can conclude with the nearby value.
6. References
[1]http://www.mathwarehouse.com/geometry/parabola/standard-and-vertex-form.php
[2]https://www.mathsisfun.com/geometry/parabola.html
[3]https://www.mathsisfun.com/data/grapher-equation.html
[4]http://www.mathsisfun.com/data/grapher-equation.html?func2=y%3D-0.0351(x-
12.5)%5E2%2B1&xmin=1.044&xmax=21.58&ymin=-7.338&ymax=8.066
[5]https://www.symbolab.com/solver/derivative-calculator/%5Cfrac%7Bd%7D%7Bdx%7D%5Cleft(-
0.0351%5Cleft(x-h%5Cright)%5E%7B2%7D%2Bk%5Cright)
[6]http://www.derivative-calculator.net
[7]https://www.emathhelp.net/calculators/calculus-2/average-value-of-a-function-calculator/?f=-
0.0351%28x-12.5%29%5E2%2B1&a=7&b=18&steps=on
[8]https://www.emathhelp.net/calculators/calculus-2/definite-integral-calculator/?a=7&b=18&f=-
351%2A%28x%20-%2025/2%29%5E2/110000%20%2B%201/11&steps=on&var=x
[9]https://plot.ly/create/
[10]http://www.calculatorsoup.com/calculators/time/time-to-decimal-
calculator.php?hours=6&minutes=40&seconds=00&action=solve
[11]http://www.calculatorsoup.com/calculators/time/time-to-decimal-
calculator.php?hours=18&minutes=20&seconds=0&action=solve