Research On Location Decision Of Hydrogen Storage Power Station Based On Probabilistic Language Terms

In recent years,the adverse impact of human technology and technological progress on the environment has become more and more serious,and low-carbon emission reduction has become imminent.However,the random,intermittent and fluctuating nature of new energy generation poses a great challenge to its large-scale access and optimal operation of the power system.In this context,energy storage has emerged.Energy storage can help reduce the load on the power grid and improve the condition of the grid.Hydrogen,as a new energy source,has attracted much attention due to its advantages such as high capacity and long cycle life.Hydrogen energy storage technology can solve the problem of "intermittency" in new energy generation in a sense,which provides a reference for relevant industrial regulation and policy development.Choosing a suitable site for a hydrogen storage power plant is the key to ensure the safe and efficient operation of the hydrogen storage system,and it is also an indispensable part to promote the smooth operation of hydrogen storage power projects.Based on this,this paper,firstly,combined with the characteristics of hydrogen storage power generation projects,used literature screening method to summarize four primary indicators including economic factors,environmental factors,social factors and risk factors,and 16 secondary indicators such as initial investment,ecological environment,public satisfaction and financing risks,which affect the siting of hydrogen storage power generation projects,and established an evaluation index system.Second,considering the fuzzy uncertainty of decision information and the fact that decision makers express attribute evaluation information through a probabilistic linguistic term set,for this purpose,an improved Hamming distance is defined,an λ-fuzzy measure is introduced to determine the λ-fuzzy measure of expert and attribute values,and an arithmetic generalized λ-Shapley for probabilistic linguistic terms is defined by combining the Shapley value with the Choquet integral Choquet integral operator and geometric generalized λ-Shapley Choquet integral operator for assembling decision information of multiple experts,and then,combining λ fuzzy measure and probabilistic linguistic term set integral operator,an improved TODIM method is proposed.This decision making method is characterized by considering the contribution of each decision maker to the decision group in group decision making,in addition,the influence between two two indicators in the attribute index system is considered to make the decision making process more accurate and improve the reliability of the decision results.In this paper,we study the decision problem of siting hydrogen storage power generation projects by using probabilistic linguistic term sets and the improved TODIM method,and ranking the alternatives for merit selection.The model takes into account the hesitancy of decision makers to evaluate information on attribute indicators and the variability between different indicators,and also considers the contribution of a single decision maker to the whole decision group and the influence of each attribute on each other.Finally,the practicality and effectiveness of the decision model developed in this paper are verified by arithmetic examples.The comprehensive siting index system constructed in this paper provides a reference for decision makers in the actual siting decision of hydrogen storage power generation projects.The siting decision model based on the probabilistic linguistic terminology set can not only play an advantage in the decision making of hydrogen storage power generation projects,but also provide a new research idea for other related new energy generation projects.