Research On Supply Chain Optimization Of "Wind Power-Energy Storage-Energy Consumption" Under The Environment Of Internet Of Things

As a special commodity,power logistics,from power generation to transmission,distribution,transformation,or to storage and consumption,the entire process of production,circulation and consumption of power products is completed instantaneously,thus forming a complete supply chain system.To meet the target demand of "carbon peaking" and "carbon neutralization",it is a general trend for China to vigorously develop clean energy such as wind power generation and photovoltaic power generation.In order to solve many problems caused by the volatility and randomness of wind power production,energy storage came into being.With the innovative application of new generation information technologies such as the Internet of things in the fields of wind power generation,energy storage and energy consumption,the clean energy industry chain and supply chain combined with wind storage have developed rapidly.However,the blind expansion of wind power and the allocation of energy storage have increased the cooperation cost of the wind storage supply chain,increased the difficulty of interest coordination among enterprises,and seriously affected the enthusiasm of the wind storage supply chain cooperation.Therefore,this paper will study the optimization of "wind power-energy storage-energy consumption" supply chain under the environment of the Internet of things,in order to provide some reference ideas for the healthy development of "wind power-energy storage-energy consumption" supply chain under the environment of the Internet of things.Firstly,the paper analyzes the necessity of constructing the "wind power energy storage energy consumption" supply chain under the Internet of things,establishes the "wind power energy storage energy consumption" supply chain under the Internet of things,analyzes the specific composition and related utility of the supply chain,and lays a foundation for the optimization of the "wind power energy storage energy consumption" supply chain under the Internet of things.Secondly,a two-way evaluation index system based on interpretive structure model(ISM)is designed.With the help of gale Shapley algorithm(GS algorithm),an optimization model for supply chain partner selection in the Internet of things environment is established.On the basis of ensuring the reliability and stability of the selection results,the transformation from one-way selection to two-way selection is realized.Thirdly,the macro location model of wind farm in the Internet of things environment is established with the goal of economic optimization,and the artificial bee colony(ABC)algorithm is used to optimize the solution,which verifies the rationality of the model.At the same time,the optimization model of energy storage capacity is established with the goal of maximizing revenue and minimizing cost,and the non dominated sorting genetic algorithm-II(NSGA-II)with elite strategy is used for optimization.Finally,from the perspective of the overall benefit optimization of the supply chain,this paper studies the benefit optimization of the "wind power energy storage energy consumption" supply chain in the Internet of things environment,constructs the Stackelberg game model and the overall benefit optimization model dominated by wind power enterprises,verifies the superiority of centralized decision-making through examples,and puts forward a variety of benefit distribution strategies.The selection of supply chain partners is conducive to stable and sustainable cooperation.The location and capacity determination are conducive to the economic development of the"wind power-energy storage-energy consumption" supply chain.The optimization of interests is conducive to the stability of supply chain cooperation.The research in this paper provides a useful idea for the optimization of "wind power-energy storage-energy consumption" supply chain.