Operational Optimization Method for Distributed Energy Systems with Hybrid Multi-Type Energy Storage
For the operation optimization of hybrid multi-type energy storage,all equipment is usually treated as an equivalent whole,without considering factors such as differences in the operating characteristics of each energy storage system,ultimately resulting in low equipment utilization and poor economic operation capability.Firstly,an optimization model is established with the objectives of maximizing renewable energy consumption and minimizing grid exchange capacity.Secondly,considering the dynamic characteristics of charging and discharging,operating cost features,and operating states of charge(SOC)settings of multi-type energy storage systems,a two-layer decoupled operational optimization scheme is proposed to adapt to the coordinated operation of multi-type energy storage in distributed energy systems(DESs),combined with SOC consistency constraints of energy-based energy storage system.Finally,based on data from a distributed renewable energy system industrial demonstration park under construction,the proposed scheme is validated and analyzed through numerical examples.The results show that this scheme can ensure the synchronization of charging and discharging of multi-type energy storage systems within a DES,while also achieving clustering of energy storage systems with the same operating characteristics.This method effectively reduces computational complexity,enables the coordination and optimization of multi-type energy storage,and thereby promotes new energy consumption in distributed energy systems.
distributed energy systempower-based energy storageenergy-based energy storage systemtwo-layer decoupled operational optimizationdimensionality reduction and clusteringSOC consistency constraint
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