Design Of Rural Household Heat Storage System For Wind And Photovoltaic Power Consumption

With the development of economic globalization,the global demand for energy increases rapidly.Due to the energy shortage,China is vigorously developing clean and renewable energy.The installed capacity of wind power generation,photovoltaic power generation and other clean and renewable energy sources is increasing rapidly.The winter weather in north China is cold and the heating time is long.In order to ensure the heating demand of residents,all thermoelectric units operate in the way of "fixed power by heat".Therefore,each unit is at full load,which obviously leads to the insufficient pest-regulating capacity of the power system to occupy the consumption space of wind power and photovoltaic power generation.Under such a research background,heat storage and heating system for wind-solar power consumption is proposed.The energy from the distributed power supply is stored in the form of heat energy by the heat storage device,which is used for the winter heating load demand of housing.The main work of this paper is as follows:(1)Firstly,the research status of distributed generation and energy storage at home and abroad is summarized,the working principle of photovoltaic power generation and wind power generation is analyzed,and a complete simulation model is established.According to the power generation model and the local grid data,the fluctuation characteristics of wind and photovoltaic power generation are obtained,which provides a theoretical basis for the study of the absorption capacity of distributed generation.(2)Two different schemes of optimal allocation and dispatch of heat storage devices are given,and the absorption capacity of distributed generation under the two schemes is analyzed,which provides a theoretical basis for the establishment of optimal dispatch model in Chapter 5.(3)A heating system based on non-phase change material is designed.The physical simulation model of wind power station and photovoltaic power station is established.The control platform of the system is built by using hardware such as PLC.The operation results show that the regenerative system can use distributed power supply to ensure the heating requirements of the house.(4)A genetic algorithm based optimal dispatching strategy for electric regenerative heating system is proposed,which guarantees the dispatching fairness of each independent regenerative system and minimizes the number of dispatches under the premise of meeting the heating requirements of regenerative load.In the control range of regenerative system,wind power and photovoltaic power consumption is the largest.The optimal scheduling results prove the feasibility of the scheduling model.The above research results show that the electric heat storage and heating device proposed in this paper has a strong absorption capacity for wind and sun power supply,and the optimized scheduling strategy based on genetic algorithm has obvious advantages and great practical application value.