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Research On Capacity Configuration And Operation Strategy Of Incremental Distribution Network With Hydrogen Energy Storage

Posted on:2024-09-07Degree:MasterType:Thesis
Country:ChinaCandidate:Z X FengFull Text:PDF
GTID:2542307151466724Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As a flexible and efficient primary energy,hydrogen can be converted into hydrogen to realize the interconnection,complementarity and co-optimization of various energy networks,such as hydrogen,electricity and heat.As a new type of environmental protection energy storage technology,hydrogen storage has a wide application potential in incremental distribution network.Hydrogen energy storage can smooth the fluctuation and uncertainty of wind and solar renewable energy,and realize the stable supply of many kinds of loads.The main research contents of this paper are as follows:Firstly,the construction modes of incremental distribution networks and the coupling modes of common renewable energy sources in incremental distribution networks and integrated energy systems are analyzed.A multi domain model of major equipment in a hydrogen chain system,including electrolytic cells,fuel cells,and hydrogen storage tanks,was studied,providing a theoretical basis for establishing an optimal configuration model for incremental distribution networks with hydrogen storage and a coordinated operation strategy for electricity and hydrogen in incremental distribution networks with hydrogen storage.Secondly,aiming at the optimal configuration problem of incremental distribution networks with hydrogen storage,the grid structure of the incremental distribution network with hydrogen storage is given,and an optimal configuration model with the goal function of optimizing the investor’s profit during the entire life cycle of the incremental distribution network with hydrogen storage is established.An improved whale fish optimization algorithm is used to solve the problem.Scheme comparison and data analysis show that the optimization scheme is reasonable and advantageous.Further,aiming at the coordinated operation strategy of electricity and hydrogen and the integrated energy supply problem in the incremental distribution network with hydrogen storage,considering the uncertainties of wind and wind,and combining with the structure of the hydrogen chain system,the energy relationship between electrical coupling and hydrogen coupling in the incremental distribution network with hydrogen energy storage is analyzed,and the operation model of the hydrogen chain system is given.Aiming at the combined supply mechanism of comprehensive energy,considering the coupling effect of hydrogen storage tanks in the process of electricity hydrogen and hydrogen electricity conversion,a coordinated operation strategy for electricity hydrogen in incremental distribution networks with hydrogen storage is established.The rationality and superiority of the coordinated operation strategy of electricity and hydrogen proposed in this paper are verified by an example analysis.Finally,a comprehensive energy sales pricing strategy considering the energy efficiency of users is developed to address the issue of energy sales pricing for incremental distribution network energy sales companies with hydrogen storage and maximizing the investor’s energy sales revenue.The comprehensive energy selling price formula and user utility formula are given,and the subjective energy use strategies of users are analyzed.The hierarchical clustering characterization of users is conducted,and the user energy rating indicators are established.Considering the maximization of energy sales revenue and user utility of energy selling companies,the pricing optimization model of energy selling companies is established.The model is solved and analyzed by using the improved whale optimization algorithm and mixed Integer programming algorithm.
Keywords/Search Tags:Hydrogen energy storage, Incremental distribution network, Electro-hydrogen coupling operation, Optimize configuration, Integrated energy pricing
PDF Full Text Request
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