| Autor: |
Nasir Rehman, Mairaj-ud din Mufti, Neeraj Gupta |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Energy Conversion and Management: X, Vol 17, Iss , Pp 100334- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2590-1745 |
| DOI: |
10.1016/j.ecmx.2022.100334 |
| Popis: |
Distributed generation (DG) sources that are randomly placed cause voltage fluctuations, which in turn affect power quality problems and degrade system efficiency. The placement of DG sources in a distribution network to achieve economic and technical system benefits is a pressing issue that this work aims to investigate. An analysis has been conducted to incorporate the recently proposed reptile search algorithm (RSA) into the optimization framework for determining the optimal size of photovoltaic (PV)-powered DGs, while a distribution load flow method is used to determine their optimal location by minimising the combined placement index (CPI). The CPI is calculated by adding the combined power loss sensitivity factor and the voltage stability factor. The former minimises the net active and reactive loss sensitivity of the system, whereas the latter maximises the voltage sensitivity of all buses. A single DG source has been employed to strike a balance between the economics of DG integration and its effectiveness in improving voltage stability. The Lambert-W function is introduced to model PV system dynamics, which simplifies calculations by eliminating numerical solution complications while reducing computational time while also estimating maximum power point variables via direct closed-form equations. The system results indicate that the addition of optimally sized and appropriately placed PV-DGs maintains the voltage profile within permissible limits while reducing overall system losses, leading to an increase in the system’s efficiency. The system is simulated on IEEE-33 and IEEE-69 bus test systems in MATLAB, and the results are compared with a traditional genetic algorithm (GA) to highlight the applicability of the presented method. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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