| With the goal of "carbon peaking and carbon neutrality",the problem of insufficient dynamic regulation of new energy grids and the grid integration of large-scale renewable energy sources has become increasingly prominent.Hydrogen from electrolytic water,as a flexible resource,has the characteristics of fast response,zero carbon emission and flexible coupling with other energy sources in the society,and also has the advantage of large capacity and long-cycle energy storage compared with battery energy storage.The grid-connected operation of large scale renewable energy sources provides an effective solution to maximise grid connection and consumption.However,the high energy costs and investment costs of electrolytic hydrogen production place higher demands on the economic rationality of its capacity configuration.Therefore,how to optimise the allocation of electrolytic hydrogen production capacity so that it can maximise the consumption of renewable energy and increase the flexibility of the grid while realising the economic use of hydrogen storage on a large scale becomes an urgent issue to be solved.In this paper,we propose an economic hydrogen production capacity allocation method for wind farms/groups that takes into account peak-shaving auxiliary services to achieve the optimal hydrogen production capacity calculation for individual wind farms and provincial wind power.Firstly,the topology of the wind farm/cluster-hydrogen production system is constructed,and the components are modelled in detail.Based on the theoretical analysis,the clustering of multiple wind farms in a region was completed.Secondly,taking into account the cost effect of the scale of the electrolytic water hydrogen production system,with the maximum net present value as the objective,the upper and lower limits of the capacity coefficient of the electrolytic water hydrogen production system relative to the wind turbine as the constraint,and considering the grid peaking demand,a wind farm/clusterelectrolytic water hydrogen production system whole life cycle capacity optimisation allocation model is established and solved by the particle swarm algorithm,introducing the principle of the algorithm and the solution steps,and the inertia weights of the algorithm Adaptive adjustment is carried out to improve the performance of the algorithm.Finally,an analysis of 49 provincial direct regulation wind farms in a region is carried out,and the particle swarm algorithm is used to solve the optimal capacity allocation scheme for each wind farm and provincial wind power,focusing on the impact of the peak regulation subsidy price on the economic capacity allocation results,and further analysing the peak regulation characteristics of the wind farm/cluster-electrolytic water hydrogen system and its effectiveness in reducing the abandonment rate based on the economic capacity results obtained.In addition,a sensitivity analysis is carried out on the key parameters of the system such as initial investment cost,hydrogen production tariff,hydrogen selling price,electrolyzer conversion rate and equipment degradation rate of the electrolytic water hydrogen production system,and on the basis of which the future economics of wind farm/cluster hydrogen production is predicted. |
