期刊
ENERGY
卷 225, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2021.120304
关键词
Reversible solid oxide cell; Dynamic programming; Energy management strategy; Optimal design; Hydrogen energy systems; Clean polygeneration
资金
- University of Salerno [PRIN 2017F4S2L3]
- Italian Ministry of University and Research [PRIN 2017F4S2L3]
The study focuses on the optimal control strategy and resizing of rSOC microgrids, achieving economic subscaling of rSOC through connection with the grid, leading to reductions in capital expenditure and operating costs.
In reversible solid oxide cell (rSOC)-based renewable microgrids connected to the network, control logic optimizing the power split with the grid is needed. The benefits associated with such configuration are assessed and compared to an islanded reversible microgrid, previously designed via a model-based approach. Multiple loads are met, including those of a residential complex as well as electric and fuel cell vehicle fleets. The energy storage system consists of a rSOC and hydrogen and thermal storage tanks. The targeted optimal power split annual trajectory is found through dynamic programming. Suitable simplifying assumptions are introduced to develop a fast reduced-order sub-model from the original islanded rSOC microgrid, thus conceiving the optimal control problem as a one state dynamic programming task. Due to the connection to the grid, the energy storage system no longer has to compensate for the difference between generation and demand, thus enabling economic rSOC sub scaling. Finding the best control strategy and resizing jointly lead to capital and operating expense reductions. The optimization outcomes indicate how a 60% reduction in rSOC nominal power allows for a simple payback period of 40% less than for the islanded design, as well as for proper rSOC capacity exploitation. ? 2021 Elsevier Ltd. All rights reserved.
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