Data-Driven Distributionally Robust Optimization for Real-Time Economic Dispatch Considering Secondary Frequency Regulation Cost
نویسندگان
چکیده
With the large-scale integration of renewable power generation, frequency regulation resources (FRRs) are required to have larger capacities and faster ramp rates, which increases cost ancillary service. Therefore, it is necessary consider constraint along with real-time economic dispatch (RTED). In this article, a data-driven distributionally robust optimization (DRO) method for RTED considering automatic generation control (AGC) proposed. First, Copula-based AGC signal model developed reflect correlations among signal, load variations. Secondly, samples taken from its conditional probability distribution under forecasted Thirdly, built transformed into linear programming problem by leveraging Wasserstein metric-based DRO technique. Simulation results show that proposed can reduce total regulation.
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ژورنال
عنوان ژورنال: IEEE Transactions on Power Systems
سال: 2021
ISSN: ['0885-8950', '1558-0679']
DOI: https://doi.org/10.1109/tpwrs.2021.3056390