A Computationally Efficient Formulation for a Flexibility Enabling Generation Expansion Planning

نویسندگان

چکیده

This paper presents a new mixed-integer linear programming formulation for combined generation, storage and demand response expansion planning. The proposed captures flexibility dynamics in integrated energy systems long horizons with large temporal resolution. objective function considers costs related to: investment, operation, emission penalties, fixed variable maintenance. considered units are: generators, (batteries hydro-pumped) (desalination, power-to-X, electric vehicles electrolysers). operation is modelled as an hourly unit commitment including time-dependent startup intertemporal constraints such ramping limits minimum up down times. enabling boosts renewable integration contributes towards decarbonisation of other sectors transport. A commercial solver used to evaluate the scale cases considering 20 years horizon 12 full weeks per year imposing shares 50 100% 9 19, respectively. exceeds tractability previous works, achieves lower over-installation curtailment by integrating generation problem, allows size responsive if desired.

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ژورنال

عنوان ژورنال: IEEE Transactions on Smart Grid

سال: 2023

ISSN: ['1949-3053', '1949-3061']

DOI: https://doi.org/10.1109/tsg.2022.3233124