Research On Optimization And Control Of Cogeneration System With Wind-PVT-micro Fuel Cell

Micro-combined-heat-and-power(micro-CHP)system is an important technology to solve the current energy crisis.High efficient energy utilization and wide variety of distributed units provides a variety of choices for the micro-CHP supply system.In this paper,we build a micro grid system based on wind generator-PVT-fuel cell electrolysis unit,which aims to realize the energy saving and environmental protection.However,But because of the characteristics of wind power,photovoltaic power generation due to environmental factors caused by randomness,volatility and intermittent,and load demand seasonal and stage characteristics,the system capacity allocation become the key points of the study.In this paper,we study how to configure accurately the optimal allocation of each unit capacity in the 20 years of the system under the full life cycle.The main research work is focused on the PVT efficiency optimization control and wind-PVT-fuel cell cogeneration system capacity ratio optimization,The train of thoughts are as follow:First of all,Introduction of the current energy issues and background in China,proposed that the micro-CHP based on wind generator,PVT,fuel cells and other distributed units is an important means to solve the energy problem.Then,designing PVT cogeneration system and related control system,adjust PVT water circulation rate to achieve the optimal heat collecting efficiency.Evaluate the comprehensive efficiency of the system according to the first law of thermodynamics,summarizes the advantages by comparison with water heater system and PV photovoltaic system.The key to the study is the optimal allocation of capacity of cogeneration system.Modeling of each distributed unit,Get weather data for a particular area by NASA meteorological database,analysis of real time wind and light resources;This paper presents an operation mode of pricing heat based one electric amount,by analyzing the difference of wind power,photovoltaic real-time power output and thermal load demand,the balance between supply and demand is established;The overall operation strategy of the system is analyzed,the formula for calculating the capacity of the fuel cell and hydrogen production unit is derived,and the range of the distributed unit capacity is also derived.And then establish the objective function with the minimum investment cost as the optimization objective,which provides the basis for the selection of the specific algorithm and the calculation of the optimal capacity ratio.Finally,by comparing the characteristics of various types of algorithms,the adaptive modified particle swarm optimization algorithm(PSO)is selected as the optimal matching algorithm.The objective function has been established as the optimal fitness function to solve the optimal ratio,then analyzed system from the cost,real-time supply and demand situation,and environmental protection and other aspects;And select a time period of operation of the system,detailed analysis of how each unit of the system is matched with each other to meet the user’s thermal and electric load balance.Illustrate the validity and rationality of the system by integrated multiple aspects of the system analysis and evaluation.