Capacity Optimization Configuration Model For Wind-Photovoltaic Power Generation Coupled With Hydrogen Energy Storage System Under Carbon Emission Reduction

China is moving towards the goal of "carbon peaking" and "carbon neutrality",and the key initiative to achieve the carbon peaking and carbon neutrality goals is to accelerate the construction of a clean,low-carbon,safe and efficient energy system.The Wind-Photovoltaic power generation coupled hydrogen energy storage system is a novel energy system that converts wind and solar energy resources into electricity and uses hydrogen energy storage for storage.It has the advantages of high efficiency,low carbon and renewable.In practical application,how to allocate the capacity of each device reasonably according to the operation strategy and operation target of such coupling system is an important problem.This will help allocate resources rationally,reduce energy waste effectively.In this context,this paper takes the Wind-Photovoltaic power generation coupled hydrogen energy storage system as the research object,studies the capacity optimization configuration model of such coupled system under the background of low carbon emission reduction,and realizes the optimal capacity configuration of the system under specific operation strategies and constraints.And it provides theoretical research and technical reference for renewable energy consumption and energy green and low-carbon transition.The main research work carried out in this thesis is as follows:(1)Analyzing the background of this thesis and the significance of the research,sorting out relevant technical status and existing problems,and analyzing the theory related to the characteristics and capacity allocation methods of Wind-Photovoltaic power generation coupled hydrogen energy storage system.And the equipment function and operation characteristics of each main subsystem of the coupling system are analyzed.The basic theoretical methods and ideas for the optimization modeling of coupling system are determined.To provide theoretical support for the subsequent system of this thesis to build the capacity optimization allocation model of Wind-Photovoltaic power generation coupled hydrogen energy storage system.(2)In response to the problem that existing studies have mostly focused on the cost aspects of Wind-Photovoltaic coupled hydrogen energy storage system while neglecting the impact of system benefits on optimization results,this thesis proposes a cost-benefit project evaluation method based on the whole life cycle theory.The system costs and benefits in the whole life cycle are quantified and taken as the objective function of capacity optimization.At the same time,the carbon emission reduction benefits of the coupled system are mined and quantified,which is better to reflect the environmental benefits brought by clean energy coupled with green hydrogen energy projects,and providing a reference for investors.It is conducive to guiding relevant enterprises to reduce emissions on their own initiative.(3)Aiming at the problem of how to achieve scientific and reasonable long-term scenario reduction for the operation scenario of Wind-Photovoltaic power generation coupled hydrogen energy storage system,this thesis deeply analyzes the operation scenario of coupled system.And the advantages and disadvantages of different scene generation and scene reduction methods are compared and analyzed.Based on retaining the uncertainty of the WindPhotovoltaic-power output in the Wind-Photovoltaic generation coupled hydrogen energy storage system and its temporal correlation with power demand,and on the basis of retaining the uncertainty of Wind-Photovoltaic power output in the wind-power generation coupled hydrogen energy storage system and its temporal correlation with power demand,the improved K-means algorithm based on density clustering was introduced to extract typical scenarios for the Wind-Photovoltaic and power demand combined output timing sequence.The extracted typical scenario results improve the calculation speed of the subsequent optimization configuration model.(4)Aiming at the difficulty and complexity of solving the multi-objective mixed fraction optimization problem in the capacity optimization allocation model of coupled system,the epsilon-constraint method is introduced to transform the double objective optimization into single objective optimization problem,which improves the solving speed.On this basis,this paper considers the preference information of different decision makers and reflects the optimization preferences of decision makers for the two optimization objectives by introducing weight coefficients.In turn,we obtain the optimal capacity optimization allocation scheme for the Wind-Photovoltaic power generation coupled hydrogen energy storage system under different decision preference conditions.Finally,the optimization configuration results of different scenarios and different decision optimization preferences are compared by example analysis.And it verifies the rationality and effectiveness of the capacity optimization allocation model and solving algorithm.