Joint planning of hybrid energy storage considering the flexibility of supply and demand balance in power system
The output of wind,solar and other renewable energy sources is highly variable and stochastic,which poses a great challenge for the flexibility of the system.Therefore,a hybrid energy storage joint planning method for power systems that balances economy and flexibility is proposed.First,the flexibility requirements of the source and load sides are assessed from the perspective of power balance;then,a two-layer planning model that coordinates the flexibility retrofit of thermal power units and the hybrid energy storage is established,with three types of flexibility resources as the planning objects,namely,thermal power unit flexibility retrofit,Vanadium Redox flow Battery,and pumped storage.Using the upper and lower layer models,the scheme is iteratively optimized to obtain the optimal hybrid energy storage configuration scheme that balances economy and flexibility;secondly,an improved whale algorithm based on inverse learning is adopted to optimize the planning model,and the validity of the model is verified by simulation.Finally,a case study is carried out using historical data from a certain region in Inner Mongolia Eastern to validate the effectiveness of the proposed method.
flexibilityhybrid energy storage systemtwo-layer planning modelimproved beluga whale optimization
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