With the increasing penetration of clean energy sources such as photovoltaic (PV)
the uncertainty of their output has caused the vulnerability and high operation and maintenance cost of hybrid AC/DC distribution grid systems
Therefore
a bi-level planning method for energy storage in hybrid AC/DC distribution grids is proposed. Firstly
a PV output scenario generation method based on extreme learning machine is proposed to accurately portray the PV operating characteristics by introducing meteorological factors; secondly
an energy storage two-layer planning model that takes into account the economy
low carbon and comprehensive vulnerability of the grid is constructed
and the optimal energy storage configuration is solved by iteratively solving the parameter iterations between the planning layer and the operation layer in the model; Finally
the proposed method is simulated and analysed by improving the IEEE 33-node AC-DC hybrid distribution system. The results show that the scenario set generated by the improved scenario generation method taking into account the meteorological factors can better characterise the PV output volatility
and the proposed configuration method can reduce the carbon emission of the system and the system vulnerability and improve the economic performance of the system operation.
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AHMED H M A, SALAMA M M A. Energy management of AC-DC hybrid distribution systems considering network reconfiguration[J]. IEEE transactions on power systems, 2019, 34(6): 4583-4594.