Bilevel Optimal Allocation of Micro-Energy Grid Cluster Sharing Energy Storage Considering Grid Carrying Capacity
Shared energy storage is an effective measure to improve the efficiency of energy storage and play the synergistic advantages of micro-energy grid clusters,however,most of the existing studies have simplified the energy transmission channel between shared energy storage and micro-energy network clusters into a bus structure,which has problems such as'fixed capacity'but not'siting',insufficient utilisation of shared energy storage after configuration,and so on.There are problems such as only'capacity-setting'but not'siting'and insufficient utilisation of shared energy storage after configuration.In this context,a two-layer optimal configuration model of shared energy storage for micro-energy grid clusters is established,taking into account the carrying capacity of the power grid.Firstly,a two-layer configuration model of shared energy storage for micro-energy grid clusters is established:the upper model takes the minimisation of the operating cost of the power grid and the shared energy storage planning as the goal,and optimises the decision-making of the location and capacity of the shared energy storage by taking into account the carrying capacity of the power grid;the lower model takes the minimisation of the operating cost of the micro-energy grid as the goal,and optimises the solution to the micro-energy grid operation problem.Secondly,the lower-layer model is converted into the constraints of the upper-layer model based on the KKT condition,and the two-layer optimal allocation model is converted into a single-layer optimisation problem.Finally,a comparative analysis is conducted using a test case containing three micro-energy grids.The results show that the proposed model can fully consider the carrying capacity of the grid and obtain a shared energy storage siting and capacity-setting scheme with better economic benefits and shorter payback period.
micro energy gridsshared energy storagegrid carrying capacitybi-layer optimal allocationcluster
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