Shared energy storage is a new type of energy storage business model
which can freely and flexibly choose energy storage capacity according to different scenarios. In this paper
based on shared energy storage power station
considering the uncertainty of electric rehicles(EV) charging timing
a two-layer optimization model of capacity optimization configuration and system optimization operation of energy storage power station is established. Firstly
a prediction of the spatiotemporal distribution of EV charging is proposed and its power is calculated
and then a two-layer optimization model is established considering the optimal configuration of operation and capacity. The two-layer optimization model is transformed into a single-layer nonlinear optimization problem by using Karush-Kuhn-Tucher(KKT) condition
and finally the nonlinear problem is transformed into a linear problem by using large M method. The calculation examples show that
considering the charging load of electric vehicles
the shared energy storage mode can take advantage of the complementarity of different micro-grids
reduce the system operation cost
improve the profitability of shared energy storage power stations
and achieve a win-win situation between users and power stations.
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