Multi-period multi-objective electricity generation expansion planning problem with Monte-Carlo simulation

Hatice Tekiner, David W. Coit, Frank A. Felder

Araştırma sonucu: Dergiye katkıMakalebilirkişi

135 Atıf (Scopus)

Özet

A new approach to the electricity generation expansion problem is proposed to minimize simultaneously multiple objectives, such as cost and air emissions, including CO2 and NOx, over a long term planning horizon. In this problem, system expansion decisions are made to select the type of power generation, such as coal, nuclear, wind, etc., where the new generation asset should be located, and at which time period expansion should take place. We are able to find a Pareto front for the multi-objective generation expansion planning problem that explicitly considers availability of the system components over the planning horizon and operational dispatching decisions. Monte-Carlo simulation is used to generate numerous scenarios based on the component availabilities and anticipated demand for energy. The problem is then formulated as a mixed integer linear program, and optimal solutions are found based on the simulated scenarios with a combined objective function considering the multiple problem objectives. The different objectives are combined using dimensionless weights and a Pareto front can be determined by varying these weights. The mathematical model is demonstrated on an example problem with interesting results indicating how expansion decisions vary depending on whether minimizing cost or minimizing greenhouse gas emissions or pollutants is given higher priority.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)1394-1405
Sayfa sayısı12
DergiElectric Power Systems Research
Hacim80
Basın numarası12
DOI'lar
Yayın durumuYayınlandı - Ara 2010
Harici olarak yayınlandıEvet

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