Fotovoltaik Tabanlı Su Pompalama Sistemlerinde Maliyet-Güvenilirlik Dengesinin Gri Kurt Optimizasyonu ile Sağlanması


Creative Commons License

Özgür P., Demirci A., Terkeş M.

13. Uluslararası Azerbaycan Fen, Mühendislik, Matematik ve Uygulamalı Bilimler Kongresi, Baku, Azerbaycan, 21 - 22 Aralık 2025, cilt.13, ss.1-7, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 13
  • Basıldığı Şehir: Baku
  • Basıldığı Ülke: Azerbaycan
  • Sayfa Sayıları: ss.1-7
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Off-grid photovoltaic water pumping systems (PVWPS) have emerged as a sustainable and environmentally friendly solution, particularly in rural and water-scarce regions. However, the reliable and economically efficient operation of these systems strongly depends on the appropriate sizing of both the photovoltaic (PV) array configuration and the water storage capacity. In this study, a cost–reliability–oriented optimization framework based on a detailed physics-based PVWPS model is proposed using the grey wolf optimizer (GWO). The system, including a PV array, pump, pipeline, and water storage tank, is simulated over a one-year period with hourly resolution. This allows it to account for solar irradiance variability and hydraulic system behavior. The primary objective of the optimization is to minimize the unit cost of water (COU, $/m³), while ensuring system reliability via constraints on loss of load probability (LPSP < 0.01) and water shortage duration (SD) (shortage days < 5 days. The GWO algorithm is implemented with a penalty-based objective function. The numbers of PV modules connected in series and parallel are considered decision variables. So is the water tank volume. The results demonstrate that the GWO algorithm can identify an economically balanced system configuration that satisfies the prescribed reliability constraints. For the optimal solution, an LPSP value of 0.0099, an annual water SD of 3.875 days, and a unit water cost of 1.057 $/m³ are obtained. Moreover, the findings indicate that excess water production during periods of high solar availability can be effectively managed via water storage, enabling a reliable energy–demand balance without the need for battery storage. Overall, this study highlights the effectiveness, flexibility, and practical applicability of the grey wolf optimizer as a robust optimization tool for the design and sizing of off-grid PV-water pumping systems.