期刊
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
卷 9, 期 2, 页码 547-558出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2017.2748463
关键词
Dynamic programming; economic dispatch; renewable energy; stochastic programming; storage
资金
- ENGIE Chair in Energy Economics and Energy Risk Management
- ENGIE-Electrabel ColorPower Grant
This paper presents a multistage stochastic programming formulation of a transmission-constrained economic dispatch subject to multiarea renewable production uncertainty, with a focus on optimizing the dispatch of storage in real-time operations. This problem is resolved using stochastic dual dynamic programming. The applicability of the proposed approach is demonstrated on a realistic case study of the German power system calibrated against the solar and wind power integration levels of 2013-2014, with a 24-h horizon and 15-min time step. The value of the stochastic solution relative to the cost of a deterministic policy amounts to 1.1%, while the value of perfect foresight relative to the cost of the stochastic programming policy amounts to 0.8%. The relative performance of various alternative real-time dispatch policies is analyzed, and the sensitivity of the results is explored.
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