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• W4214851878 endingPage "104207" @default.
• W4214851878 startingPage "104207" @default.
• W4214851878 abstract "With the rapid growth of renewable generation in power system, the share of dispatchable power reduces, raising the need for large-scale energy storage to compensate for volatile renewable output. Advanced adiabatic compressed air energy storage (AA-CAES), advantageous in large capacity and emission-free, is promising for grid-level use. This paper studies the operation of power systems with renewable generation and AA-CAES. The off-design characteristics of AA-CAES are featured by variable efficiencies and limited low-load capacity. A battery-like linear model of AA-CAES is suggested, in which the coefficients can be calibrated from experiments or simulations. A robust online operation scheme is proposed which only requires the currently observable information and makes no reference to renewable forecast. In the day-ahead stage, the unit on–off status as well as lower and upper bounds of unit output and storage levels in all periods are derived from a robust unit commitment model. In the real-time dispatch stage, an optimal power flow problem with pre-allocated operation bounds is solved. Feasibility is guaranteed by the setting of operation bounds obtained from the robust model. Case studies illustrate the precision of the simplified AA-CAES model and validate the performance of the operation method. The results indicate that a linear model is suitable when AA-CAES operates in near constant-pressure conditions, whose error is 0.4% for the charging part and 1.4% for the discharging part. A non-anticipative robust formulation is superior to conventional two-stage robust optimization in feasibility enforcement under uncertainty, the later encounters an infeasible probability up to 42% when the power system lacks limited regulation sources. • A battery-like linear model of grid-level AA-CAES with acceptable precision. • Part-load performance of AA-CAES is reflected by variable-efficiency characteristics. • A robust and online scheduling method addressing uncertainty and non-anticipativity. • A single-level non-anticipative robust formulation of unit commitment with AA-CAES. • Real-time dispatch is cast as single-period OPF and is prediction-free." @default.
• W4214851878 created "2022-03-05" @default.
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• W4214851878 date "2022-06-01" @default.
• W4214851878 modified "2023-09-29" @default.
• W4214851878 title "Robust online operation of power systems with advanced adiabatic compressed air energy storage and renewable generation" @default.
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• W4214851878 doi "https://doi.org/10.1016/j.est.2022.104207" @default.
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