The Research On The Optimization Of Wind-hydrogen Storage Capacity Based On Fast Non-dominated Sorting Genetic Algorithm ?

As the increasing of environmental problems and the continuous decrease of traditional non-renewable energy reserves,looking for clean renewable energy has drawn great attention of the governments around the world,in the process of using wind power,environmental pollution problems doesn't exist,and it comes from the air flow in nature,thus become the best choice of the development of renewable energy.But because of the wind speed is not stable factors,making wind power with the characteristics of volatility,stochastic,intermittent,in order to overcome the negative impact of wind power on power users,usually adding energy storage system in wind power generation system,forming the structure of the integration of the wind power-stored energy.Because the hydrogen has a large energy density,high calorific value,a product of combustion is water,pollution-free advantages to the environment,the article will couple wind and the hydrogen system together,building the structure of the wind-hydrogen storage system.The energy storage system is composed of alkaline electrolyzer,gas compressors,hydrogen storage tanks,proton exchange membrane fuel cell(PEMFC)and some auxiliary equipments,when wind power output is larger,alkaline electrolyzer produces hydrogen by electrolysis of water,and using gas compressor storages hydrogen in high pressure tank;When wind power output is lower,fuel cell system consumes hydrogen in high pressure storage hydrogen tank to generate electricity.Considering the alkaline electrolyzer rated pressure and gas compressor efficiency,making the operation strategy of the system;In establishing the wind-hydrogen storage system capacity optimal allocation model,firstly analyzes the mathematical model of the main equipment in the system,and then according to the model,determining the evaluation of three indicators of the system,respectively the wind volume,the lack of electricity load rate,the amount of wind power fluctuations;Five decision variables are respectively the number of wind turbine,the number of each small electric room in the alkaline cell and the number of moles of hydrogen production,the number of a single oxy-hydrogen units and the number of moles of hydrogen consumption in fuel cell stack.The paper introduces the principle of the Non-Dominated Sorting in Genetic Algorithms(NSGA-II),on the basis established the model of the capacity of optimizing the allocation,to use the algorithm for optimization calculation,considering the difference of the decision variables in the model larger,changed the NSGA-II mutation strategy of the algorithm,and compared and analyzed with the original algorithm.Finally considering how to make use of wind power on a large scale hydrogen production under the existing technology,the paper uses commercial alkaline electrolyzer in the wind-hydrogen energy storage systems,from the viewpoint of energy flow,building capacity of optimal allocation model,determining the wind wave as well as the hydrogen storage as evaluation index,analysis of the relationship between in the optimal configuration of capacity.The model provided data support and solution for the construction of the wind – hydrogen energy storage system in the true sense.