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- W4220912241 abstract "The uncertainties of wind turbine (WT) output have large impacts on the optimal operation of integrated energy systems. This paper investigates the two-stage robust optimization (RO) of hybrid energy integration regarding wind volatility. In RO method, the WT output is modeled with an uncertainty budget, which represents the degree of conservatism. Simulation results validate that when the uncertainty budget rises to a maximal value, ESS degradation cost increases 25.7%, and total cost decreases 2.0%. Additionally, demand response program (DRP) exhibits elastic and voluntary merits. With the implementation of DRP, 6139.9$ total savings are achieved compared with the ordinary RO method. Meanwhile, the merits of stochastic optimization (SO) have also been studied. Despite the ESS degradation cost and total cost in SO being lower than those in RO, SO requires accurate probability distribution of uncertain variables in real situations. RO can shortly provide worst-case schemes which are highly appreciated by power utility companies." @default.
- W4220912241 created "2022-04-03" @default.
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- W4220912241 date "2022-08-01" @default.
- W4220912241 modified "2023-10-14" @default.
- W4220912241 title "Two-stage robust optimization of thermal-ESS units scheduling under wind uncertainty" @default.
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- W4220912241 doi "https://doi.org/10.1016/j.egyr.2022.02.277" @default.
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