低压光储直流微网设计与试验研究
[Abstract]:With the rapid development of China's economy in recent years, the people's quality of life has gradually improved, but the environmental problems brought by it are becoming increasingly significant. In the middle and late December of 2016, one-third of China's land area was warned by haze red alert, Beijing, Hebei, Henan, Shandong and other places appear severe haze weather, each place closes production one after another, suspends the class to carry on the emergency response. It not only seriously endangers people's health, but also endangers national economic and industrial development. Coal-fired power generation, coal-fired heating, coal-fired production is an important cause of haze. Solar photovoltaic power generation refers to the use of photovoltaic cells to convert solar radiation energy into electric energy, with the advantages of zero emission, no pollution and so on, which can alleviate the environmental pollution caused by traditional power generation. Combined with energy storage device, it can be used as an independent power station to supply power to remote areas, which can solve the disadvantages of large investment and low utilization ratio of traditional power network terminal lines. At present, the research of photovoltaic generation and microgrid is mainly focused on the control strategy of micro-network layer, and the maximum power point tracking algorithm is complex, so it is not suitable for real-time control of microprocessors. The structure of photovoltaic power generation system is mainly connected to grid or isolated island operation mode, the bus voltage grade is higher, the number of batteries needed is more, the cost is high, and the special research for greenhouse microgrid is lacking. In this paper, a low voltage optical storage DC microgrid system is designed for a small greenhouse with low pressure load. Firstly, the whole structure of the system is designed, and the unit structure of each part is designed. The system control strategy is designed, including the maximum power point tracking algorithm and the system energy control strategy, which is suitable for the fast processing of microprocessors, and the intelligent exchange of photovoltaic cell, battery and load energy is realized. The simulation model is built in Matlab/Simulink environment to verify the feasibility of the algorithm. The experimental platform with TMS320F28335 processor as the core is built, the signal acquisition and control part is designed, the hardware circuit of driving part and power part is isolated, and the hardware debugging of PCB, is made. In the CCS6.1 software development environment, the TMS320F28335 code is written, and the feasibility of the design scheme is verified in the laboratory environment.
【学位授予单位】:东北农业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM727
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