Due Date: 18 June 2022 11:59 PM Photovoltaic (PV) is a renewable energy source that gain popularity in the past decades.

Post by **answerhappygod** » Thu Jul 14, 2022 2:06 pm

: Due Date 18 June 2022 11 59 Pm Photovoltaic Pv Is A Renewable Energy Source That Gain Popularity In The Past Decades 1 (50.95 KiB) Viewed 30 times

: Due Date 18 June 2022 11 59 Pm Photovoltaic Pv Is A Renewable Energy Source That Gain Popularity In The Past Decades 2 (59.41 KiB) Viewed 30 times

: Due Date 18 June 2022 11 59 Pm Photovoltaic Pv Is A Renewable Energy Source That Gain Popularity In The Past Decades 3 (46.62 KiB) Viewed 30 times

Due Date: 18 June 2022 11:59 PM Photovoltaic (PV) is a renewable energy source that gain popularity in the past decades. The PV converts irradiance from the sun into electricity. As an engineer, you have been asked to analyse and design a PV generation system shown in Figure 1. With the knowledge of scientific programming, you have to WRITE THE SCRIPT for each task together with comment that explain the code. 1. 20 voltage and current from the PV module, Vμ and Iμ respectively, has been collected. The data sensitivity is 1 V(Vm is stepped 1 V between each data). Nevertheless, the collected data is not enough to produce a good result to model the PV, as shown in Figure 2. Write a MATLAB script that improve the result by increasing the sensitivity of the data from 1 V to 0.001 V using Piecewise cubic Hermite interpolation. 2. The power produce by the PV module, Pm, is calculated by multiplying Ir with Vr. The Pr is plotted against Vr and the result is shown in Figure 3. Write the MATLAB script that plot the Pp−Vp on your own similar to Figure 3 using the improved data.
2. The power produce by the PV module, Pp, is calculated by multiplying I with Vm∗. The Pm is plotted against Vm and the result is shown in Figure 3. Write the MATLAB script that plot the Pm−Vp on your own similar to Figure 3 using the improved data. 3. The particle swarm optimization (PSO) is a useful algorithm that can be used to determine the minimum or maximum value. In the PV application, PSO can be used to determine VF−with the highest PN+which by referring to Figure 3 is when Vn is 31 V. In the simulation, this can be done by slowly increase the Vm until all the P. point is collected. Unfortunately, in practice, this takes too long to complete. The PSO will select only several Vp to determine the maximum Pr+, which produce faster result. Based on the list of instruction below, draw the flowchart and write the psedocode for the PSO used in the PV application. For further explanation, go to htips:i/www youtubc com watch?y=sB ln9a9yk Jk a. Load the data from Excel file. b. Initiate PSO i. Create variable dVpv (change of Vpv) that equal to zero. The dVpv is a horizontal vector with size of Npar (number of particle). Npar is equal to 5 . ii. Create Vpy vector that start with 0 and end with 50 with size of Npar and evenly distribute (use linspace). iii. Find Ipv based on the Vpv using interpolated data. Calculate Ppv. iv. Find the best global Ppv and Vpv (Ppv bg and Vpv_bg, respectively), which Ppy_bg is the highest value in Ppv and Vpvbg is the corresponding to Ppy bg. v. The best particle of Ppv and Vpv (Ppy_bp and Vpv_bp, respectively) is equal to Ppv and Vpv, respectively. c. Iteration of PSO i. New dVpv is calculated using this formula: ii. New Vpv is calculated using this formula: iii. The Ipv and Ppy is calculated based on the new Vpv, Use the interpolation function.
4. Based on the flowchart or psudocode, write the MATLAB script for the PSO with this specific PV module. If the script is correctly written, the Ppv_bg and Vpv−bg is around 89 and 30 , respectively. Error of ±1 is acceptable. 5. A sensor is needed to measure the Vpv for the use in PSO. The measured and the sense data is provided in Excel file. Using curve fitting, find the polynomial expression (2-degree fitting) to relate the measured and the sense voltage. Compare the polynomial expression with the data using figure. 6. To design the controller for the system, the transfer function for the power converter needs to be analysed. The transfer function for the power converter is: Write the MATLAB script that produce Figure 4.