A model of the solid oxide electrolysis cell (SOEC) and lithium-ion battery energy storage system was established
and their respective transient response characteristics were analyzed. A feed-forward model predictive control method for the SOEC system was proposed. Then
based on the continuous variational mode decomposition and variational mode decomposition methods
combined with the whale optimization algorithm (WOA)
a capacity optimization allocation method for the SOEC-lithium-ion battery hybrid energy storage system was proposed. Finally
the effectiveness of the proposed method was verified through simulation experiments according to the actual output power data of a wind farm with rated installed capacity of 30 MW. Results show that the hybrid energy storage system can effectively utilize part of the wind energy for electrolysis to produce hydrogen
and realize the goals that the combined output power of the wind farm and hybrid energy storage system fulfills the grid-connected standards and the initial investment cost of the hybrid energy storage system is the lowest. At the same time
the SOEC system reaches the set electrolysis efficiency and the lithium-ion battery storage array is in a healthy state.
关键词
Keywords
references
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Related Institution
School of Control and Computer Engineering, North China Electric Power University
Electric Power Research Institute of State Grid Shandong Electric Power Company
School of Software Engineering, Chongqing Institute of Engineering
Rongzhi College, Chongqing Technology and Business University
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