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- W4289209504 abstract "This paper aims to develop an optimization model for the expansion planning of reliable power generation systems. To achieve this goal, we propose an optimization model that minimizes the total cost using Generalized Disjunctive Programming (GDP). Specifically, the model determines both investment decisions (number, size, location, and time of generators to install, retire, and decommission) and operation decisions (number of operating/backup generators, operating capacity, and expected power output) by imposing penalties when the demand is not satisfied, and a system has low reliability. The model is verified through an illustrative example of two regions with four power stations over five operating periods." @default.
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- W4289209504 date "2022-01-01" @default.
- W4289209504 modified "2023-10-12" @default.
- W4289209504 title "An Optimization Model for Expansion Planning of Reliable Power Generation Systems" @default.
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- W4289209504 doi "https://doi.org/10.1016/b978-0-323-95879-0.50141-7" @default.
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