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分布式并网光伏发电远程测控系统的设计与实现

发布时间:2018-07-09 12:26

  本文选题:分布式电源 + 光伏并网发电 ; 参考:《山西大学》2014年硕士论文


【摘要】:随着人类生活水平的提高,人类对生存环境和能源的要求越来越高。由于化石能源的枯竭与日益严重的环境问题,寻找新的清洁能源已经迫在眉睫。太阳能取之不尽,用之不竭,被认为是解决能源与环境矛盾的有效途径之一。太阳能光伏发电零排放,零污染,已经受到世界各国的关注和青睐。我国是太阳能光伏组件的生产大国,但是百分之九十以上的光伏组件出口国外,自身对光伏发电的研究和应用很少,没有形成完整的产业链。国家能源局发布《太阳能发电发展“十二五”规划》指出在“十二五”期间,将大力发展光伏发电,光伏发电的应用迎来了春天。随着分布式发电与智能电网成为热门话题,单一的大电网运行模式已经不能满足人类对电能质量的要求,分布式电源与电网相结合成为一种趋势。分布式并网光伏发电系统将成为太阳能应用的主要发展方向。随着大量分布式光伏发电系统接入电网,将会对电网造成冲击和影响。国外发达国家在分布式光伏发电领域已经处于领先地位,然而我国对于分布式光伏发电的研究起步晚,技术相对落后。分布式光伏发电系统与电网既可以并联运行,还可相互独立运行,在发生故障后可快速断开连接避免造成大面积停电事故。为了研究分布式光伏系统对电网产生的影响,本文在山西大学近代物理实验室搭建了一套分布式并网光伏发电模型。并基于STC12C5A60S2单片机与电能芯片CS5463设计了分布式并网光伏发电远程测控系统,用户可在不同终端查看系统运行状态,并可远程控制系统与电网的连接状态,在负荷高峰期实现调峰的功能。系统中多功能双向电表可以精准测量系统和电网之间的双向电能以及有功功率、无功功率、功率因数、视在功率、谐波有功功率、基波有功功率和基波无功功率等信息。该系统不仅可做为教学仪器对学生进行光伏发电和分布式电源的教学,同时记录分布式光伏系统并联电网运行的数据,为智能电网的研究提供数据支持。
[Abstract]:With the improvement of human living standard, the requirement of living environment and energy is higher and higher. Due to the depletion of fossil energy and the increasingly serious environmental problems, it is urgent to find new clean energy. Solar energy is inexhaustible and is considered to be one of the effective ways to solve the contradiction between energy and environment. Solar photovoltaic power generation zero emissions, zero pollution, has been the world's attention and favor. China is a big producer of solar photovoltaic modules, but more than 90% photovoltaic modules are exported to foreign countries, the research and application of photovoltaic power generation itself is very little, and it has not formed a complete industrial chain. The State Energy Administration has issued the 12th Five-Year Plan for the Development of Solar Power Generation, which points out that during the 12th Five-Year Plan period, photovoltaic power generation will be vigorously developed, and the application of photovoltaic power generation has ushered in spring. With distributed generation and smart grid becoming a hot topic, a single operation mode of large power grid can no longer meet the requirements of human power quality, so the combination of distributed generation and power grid has become a trend. Distributed grid-connected photovoltaic power generation system will become the main development direction of solar energy application. With a large number of distributed photovoltaic systems connected to the grid, it will impact and affect the power grid. Foreign developed countries have been in the leading position in the field of distributed photovoltaic power generation. However, the research on distributed photovoltaic power generation in China started late and the technology is relatively backward. The distributed photovoltaic power generation system and the grid can be operated in parallel and independently, which can quickly disconnect the connection after the fault and avoid large area power outages. In order to study the influence of distributed photovoltaic system on power grid, a set of distributed grid-connected photovoltaic power generation model was built in the modern physics laboratory of Shanxi University. Based on STC12C5A60S2 single chip and CS5463, a distributed photovoltaic remote measurement and control system is designed. Users can view the running state of the system at different terminals, and can remotely control the connection between the system and the power grid. The function of peak load regulation is realized during the peak load period. The multifunctional bidirectional meter can accurately measure the information of bidirectional electric energy, active power, reactive power, power factor, apparent power, harmonic active power, fundamental active power and fundamental reactive power between the system and the power network. The system can not only be used as a teaching instrument to teach students photovoltaic generation and distributed power generation, but also record the data of parallel grid operation of distributed photovoltaic system, which can provide data support for the research of smart grid.
【学位授予单位】:山西大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM615

【参考文献】

相关硕士学位论文 前1条

1 赵丹;支持向量机回归算法预测局部遮阴光伏发电系统最大功率[D];天津大学;2010年



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