Hydrogen Storage Planning Method Of Power System Based On Chronological Operation Simulation

In recent years,the environmental situation has become increasingly severe,and wind and solar power generation has become the main forms of renewable energy development and utilization.Due to the randomness and volatility of natural resources such as wind and light,wind and light power generation have a significant impact on power systems.With the continuous growth of wind power and photovoltaic installed capacity,wind and light abandonment is becoming increasingly serious.Hydrogen energy storage is a new type of energy storage technology for power systems.Compared with traditional energy storage technologies,it has the advantages of green and low carbon,long equipment life,large storage capacity,and convenient storage and transportation.Therefore,optimizing the configuration of hydrogen energy storage systems can lay the foundation for building a flexible,reliable,and efficient new type of power system.This article selects equipment such as proton exchange membrane electrolyzers,high-pressure hydrogen storage tanks,and proton exchange membrane fuel cells to build a hydrogen energy storage system.Under the working scenario of using renewable energy to discard electricity to produce hydrogen and use fuel cells to generate electricity to power the grid,the installation scale and installation nodes of the hydrogen energy storage system are optimized and configured.This paper first analyzes the solving problems in the large-scale power system power planning model based on the 8760 hour source load scenario,and proposes a decoupling method framework for the problem with both coupling variables and coupling constraints.Aiming at the coupling constraints in the planning model,this paper proposes a stochastic sequential operation simulation algorithm based on daily power balance and intraday verification,which transforms the 8760 hour operation simulation problem into two parts,namely,a smaller daily power balance model and intraday verification model,and greatly improves the calculation speed through parallel computing.Aiming at the coupling variables existing in the planning model,this paper proposes a framework for hydrogen storage planning based on time series operation simulation based on the Benders decomposition algorithm.On the basis of decoupling the coupling constraints,the Benders decomposition algorithm is used to further decouple the mixed integer programming problem with only coupling variables,achieving an efficient solution to the hydrogen storage planning problem in large-scale power systems with high proportion of renewable energy access.The algorithm is validated using systems such as IEEE-118 and RTS-24.The results show that the timing operation simulation algorithm and hydrogen storage planning algorithm proposed in this paper can provide accurate and reliable hydrogen storage planning schemes with full consideration of short-term and medium to long-term fluctuations in renewable energy output.