| Household wind turbines usually power as a hybrid energy system consisting of solar panels and energy storage equipment,there are many factors affecting the capacity configuration of the hybrid energy system,such as the potential of wind and solar resources at the installation site,the load requirements of the users,and the technical parameters of the components of the system.Therefore,these factors need to be considered when designing the hybrid energy system,and minimizing the system cost while satisfying the technical feasibility conditions,so the right capacity of the hybrid energy system should be optimized;When smart home use Wind/PV/Storage hybrid power generation,they should further consider how to use wind and light resources efficiently and reduce electricity expenditure.In order to solve the two main problems of wind turbines in smart home applications,namely: 1.Optimizing selection of power supply system capacity of smart home users;2.Efficient allocation of resources in the process of hybrid energy system operation to reduce the charge of user electricity,this paper mainly does the following work:(1)The experiment tested the output performance of the household wind turbine and its operation with the solar panels,energy storage and other components to power the smart home.In the wind turbine performance experiment,the relationship between the output voltage of the wind turbine and the wind speed and the rotational speed was tested by manually designing the wind field and the servo motor to drive of the two types of wind turbine rotation.Then,the experiment of power supply for smart home,focused on the change of the output performance of the solar panel over time,and the charging and discharging characteristics of the battery.The whole process system works well in the experiment,which confirms the feasibility of the study and provides experimental basis data for the subsequent system capacity optimization and home scheduling optimization research.(2)On the basis of the experiment,using HOMER to analyze the technology and economy of the smart home using the Wind/PV/Storage hybrid power generation system,the optimal capacity scheme for each component of the system is obtained,and reasonable advice is provided for the smart home users to apply the wind turbine.After selecting three locations with different potentials of wind and solar resources,using HOMER to explore the impact of uncertain climate parameters on the output.Then in the sensitivity analysis,the effects of wind turbine technical parameters,loss of power supply probability and power shortage penalty measures on the output results were explored.(3)Based on the support technology of smart home energy management system: advanced measurement system,Internet of Things wireless communication network NB-IoT,blockchain technology,microgrid energy trading based on blockchain-based community-type renewable energy power supply system is designed.And details of the elements that make up the energy market are introduced.Each of these households are proconsumers of renewable energy,equipped with solar panels,wind turbines and other power supply units.The power supply system exchanges energy through physical connections,distributes and records transaction information through the home energy management system.(4)By classifying the types of user load,the flexible load that can be scheduled is transferred on the time scale.The mathematical model shows that the family energy scheduling is a nonlinear 0-1 integer programming problem.The discrete binary particle swarm optimization algorithm is then used to solve this problem. |
