Development of optimal generation scheduling algorithm for day ahead markets

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2015

Öğrenci: METİN İSPİROĞLU

Danışman: OSMAN SEVAİOĞLU

Özet:

In a liberalized electricity market structure, private generation companies play an important role and their attendance must be encouraged. In this study, an optimal generation scheduling algorithm is developed for the generation companies attending day ahead markets who aim to utilize their portfolio more efficiently and to provide low-cost energy to the consumers. The algorithm employs Lagrange relaxation and dynamic programming techniques. Generation capacities of units, ramp limitations, minimum on and off durations are handled as unit constraints. Generation scheduling is performed for hourly forecasted power demand. Different cases are solved with the developed algorithm to observe the results. Outputs of the algorithm are compared with other methods used in the literature.