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Optimization of the Garzan hydropower system operations       
Yazarlar
Doç. Dr. Emrah YALÇIN Doç. Dr. Emrah YALÇIN
Kırşehir Ahi Evran Üniversitesi, Türkiye
Şahnaz Tiğrek
Batman Üniversitesi, Türkiye
Özet
Through the rapid development of the watersheds in Turkey with projects developed by incorporated companies, a problem has arisen of how to operate a cascade reservoir system composed of state-and private sector-owned reservoirs in terms of the volume and timing of water releases to meet downstream water demands. This study presents a catchment-based optimization model based on inflow forecast with frequent updating for the integrated operation of hydropower plants under various sales methods. The model is formulated in terms of nonlinear programming (NLP) on a monthly basis for a 1-year period to assess the production strategies of the system reservoirs for that year. This model provides the basic constraints on the reservoir volume for daily and hourly optimization procedures. Forecasted flows are generated using seasonal autoregressive integrated moving average (ARIMA) models based on historical flow values. The proposed model is tested on the Garzan Hydropower System using historical, mean, and forecasted flow values. The results show that the integrated operation plan and improvement in the accuracy of inflow forecasts yield economic benefits as a consequence of optimal reservoir operation.
Anahtar Kelimeler
ARIMA | Garzan Basin | Nonlinear programming | Optimization | Reservoir operation
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı ARABIAN JOURNAL OF GEOSCIENCES
Dergi ISSN 1866-7511
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce
Basım Tarihi 08-2017
Cilt No 10
Sayı 16
Sayfalar 1 / 12
Doi Numarası 10.1007/s12517-017-3166-y
Makale Linki https://link.springer.com/10.1007/s12517-017-3166-y
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
WoS 1
SCOPUS 2
Google Scholar 3
Optimization of the Garzan hydropower system operations

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