Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 11, Issue 2, Pages 758-770Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2019.2905280
Keywords
Microgrids; Optimal scheduling; Wind power generation; Robustness; Uncertainty; Job shop scheduling; Microgrid; generation scheduling; wind power; robust optimization; nonanticipativity
Categories
Funding
- National Key RD [2016YFB0901900]
- National Natural Science Foundation of China [61773309, 61773308, U1766205]
- Open Fund of State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems
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Electricity cost constitutes an important part of the total energy cost for some energy-intensive industries (EIIs). For enterprises belonging to such EIIs, an effective way to reduce the electricity cost is to integrate the renewable energy such as wind and/or photovoltaic energy into their energy systems. In this paper, the problem of generation scheduling of self-generation power plant (SGPP) in EII microgrid with wind power is considered. First, a robust optimization-based formulation with flexible uncertainty set is established to obtain the feasible range of SGPP outputs, which can ensure the robustness and nonanticipativity of the system. Second, the economic dispatch (ED) model based on the feasible range is proposed and the multi-period scheduling problem is decoupled into a series of single-period ED problems. Besides, the analytical solution to the ED problem is given and thus the computational efficiency is guaranteed. Numerical testing is performed for a real system and the results show that the method is effective.
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