TY  - JOUR
SN  - 20869614
TI  - Optimal Design and Performance Analysis of Multiple Photovoltaic with Grid-Connected Commercial Load
A1  - Jamahori, Hanis Farhah
A1  - Abdullah, Md Pauzi
A1  - Ali, Abid
A1  - AlKassem, Abdulrahman
Y1  - 2024///
IS  - 4
VL  - 15
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199045038&doi=10.14716%2fijtech.v15i4.6019&partnerID=40&md5=66ff35b04fa409cd392aa31ca4421606
N2  - This study aimed to evaluate the potential of integrating Photovoltaic (PV) with commercial load and examine the impact on distribution networks. To estimate the hourly PV output power, 13 years of historical weather data were used. Furthermore, a beta probability density function was modeled to handle large amounts of data and generate a 24-hour predicted PV curve. Particle Swarm Optimization (PSO) was used to determine the location and size of multiple PV units, ranging from 1 to 3. PV performance was tested on IEEE 33-bus and 69-bus test systems using time-varying commercial load, with power loss index (PLI) set as the objective function. PV penetration level was also calculated. The results showed a significant power loss reduction and PV penetration levels when 3 PV units were integrated into the system compared to a single PV unit. Specifically, the power loss reduction improved from 32.71 to 45.37 and 43.80 to 48.08, producing PV penetration levels of 43.08 and 40.15 in 33-bus and 69-bus systems, respectively. The results indicated that the integration of multiple PV units was better than the single PV integration. The proposed model using PSO determined the impact of considering weather-dependent PV generation simultaneously with time-varying loads. It also provided knowledge to model the optimal location and sizing of multiple PV units in the distribution networks based on the generated solar irradiance patterns. © (2024), (International Journal of Technology). All rights reserved.
AV  - none
PB  - Faculty of Engineering, Universitas Indonesia
JF  - International Journal of Technology
N1  - All Open Access, Gold Open Access, Green Open Access
ID  - scholars20575
ER  -