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http://hdl.handle.net/11452/30750
Başlık: | A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts |
Yazarlar: | Cebi, Ferhan Turan, Hasan Hüseyin Kasap, Nihat Delen, Dursun Uludağ Üniversitesi/İnegöl Meslek Yüksekokulu. Sivrikaya, Berna Tektaş 55599110400 |
Anahtar kelimeler: | Computer science Long-term capacity planning Energy generation Fuzzy programming Bilateral contracts market Day-ahead market Climate change Hydroelectric power Hydroelectric generation Energy security Expansion Hydropower Power Uncertainty System Risk Vulnerability Turkey Climate change Climate models Commerce Drought Electric power generation Fuzzy systems Hydroelectric power Hydroelectric power plants Integer programming Power markets Sensitivity analysis Bilateral contracts market Capacity planning Day ahead market Energy generations Fuzzy programming Investments |
Yayın Tarihi: | Eki-2017 |
Yayıncı: | Springer |
Atıf: | Sivrikaya, B. T. vd. (2017). ''A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts''. Information Systems Frontiers, 19(5), Special Issue, 975-991. |
Özet: | We study the long-term generation capacity investment problem of an independent power generation company (GenCo) that functions in an environment where GenCos perform business with both bilateral contracts (BC) and transactions in the day-ahead market (DAM). A fuzzy mixed integer linear programming model with a fuzzy objective and fuzzy constraints is developed to incorporate the impacts of imprecision/uncertainty in the economic environment on the calculation of the optimal value of the GenCo's objective function. In formulating the fuzzy objective function we also include the potential impacts of climate change on the energy output of hydroelectric power plants. In addition to formulating and solving the capacity planning/investment problem, we also performed scenario-based (sensitivity) analysis to explore how investment decisions of the GenCos change when fuzziness (tolerance) in the maximum energy output of hydroelectric units and/or drought expectation increases. The proposed model is novel and investigates the effects of factors like drought expectations of climate changes, hydroelectric power plant investments, and other power generation technology investment options. |
URI: | https://doi.org/10.1007/s10796-016-9707-1 https://link.springer.com/article/10.1007/s10796-016-9707-1 1572-9419 http://hdl.handle.net/11452/30750 |
ISSN: | 1387-3326 |
Koleksiyonlarda Görünür: | Scopus Web of Science |
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