IMPACT STUDY OF SOLAR ENERGY ON POWER SYSTEM STATE ESTIMATION UTILIZING WEIGHTED LEAST SQUARE TECHNIQUE | ||||
| Journal of Al-Azhar University Engineering Sector | ||||
| Volume 19, Issue 72, July 2024, Page 212-233 PDF (870.65 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/auej.2024.247289.1463 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Zahraa Esmaiel Hamed   ; Hassan S. Mohamed; Ibrahim Nassar
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| Electrical Power& Machines Department, Faculty of Engineering, Al-Azhar University, Nasr City, 11884, Cairo, Egypt | ||||
| Abstract | ||||
| Duo to the importance of studying the stability of electrical power networks, the most important of which is estimating the state of the electrical network SE in the control centers of power systems. This study aims to improve voltage levels and reduce electrical power losses in the network, in addition to studying the integration of photovoltaic (PV) energy systems into the network. Then using simulated annealing algorithm (SA) to determine the optimum location to integrate photovoltaic energy systems in an IEEE 14 bus electrical network using the weighted least square (WLS) technique. The photovoltaic energy was injected into the specified location based on the minimum value of power and reactive power losses. The study achieved an enhancement in electrical power , reactive losses and voltage profile, comparing that before and after integrating the photovoltaic system into the network. The electrical network state estimation (SE) technique was used to filter the readings from errors resulting from measuring devices using MATLAB/PSAT tool box program to simulate this study. Special Issue of AEIC 2024 (Electrical and System & Computer Engineering Session) | ||||
| Keywords | ||||
| Weighted least square WLS; State estimation SE; Simulated annealing algorithm SA; Energy management system EMS; Photovoltaic PV | ||||
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