期刊
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
卷 11, 期 3, 页码 2028-2039出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2019.2951616
关键词
Stochastic processes; Renewable energy sources; Turbines; Uncertainty; Pipelines; Compressors; Numerical models; Unit commitment; combined-cycle units; adaptive dynamic programming (ADP); integrated gas-power system
资金
- National Key Research and Development Program of China [2016YFB0901900]
- National Natural Science Foundation of China [51977166]
- China Postdoctoral Science Foundation [2017T100748]
- Science and Technology Project of SGCC-Research on Market Mechanism for the Energy Pool Trading Adaptive to the Internet Energy [SGNW0000DKJS1900130]
Due to the fast response capabilities, combined-cycle units could provide valuable flexibilities to cope with uncertainties from the renewable energy resources. However, combined-cycle units intensify the coupling between power and gas networks, so operational constraints of the two networks should be explicitly considered simultaneously. Indeed, neglecting the impact of any network may lead to infeasible solutions that will violate physical operational constraints. Compared with the previous stochastic unit commitment model with only combined-cycle units, this paper establishes a stochastic gas-power network constrained unit commitment model considering both combined-cycle units and gas network. Furthermore, an adaptive dynamic programming (ADP) to prevent the curse of dimensionality is proposed. Numerical results verify the effectiveness of the proposed model.
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