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Improved Simulation Approach to Predict IGBT Lifetime in Wind Turbine Systems

机译:改进了仿真方法来预测风力涡轮机系统中的IGBT寿命

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Repairs due to Electrical Systems failures are 27% of the total number of needed repairs on wind turbines from 2.5 kW to 1.5MW, according to a US Department of Energy report on energy efficiency and renewable energy [1]. Moreover, electronic control unit failures represent 16% of the total failures, 3 times more than the failures caused by mechanical or gearbox breaks. Once an IGBT system is past its early life stage where most of the failures occur due to human errors, it goes through a life-time where failures depend on operating conditions including environment of whole systems where IGBT modules and other components are installed together. Advanced simulation techniques used in very early stages of a design flow could heavily assist in making the appropriate decision of selecting the IGBT that matches the life time requirements of the system. In a cycle-accurate variable-time step simulations of the complete system (including wind generators, IGBTs, and FPGA controllers) power cycle life of the IGBT at both the junction and the case temperature can be accurately determined. In this paper, modeling and simulation of IGBTs from Fuji Electric used in a Smart Power Stack is accomplished using novel co-simulation technology of the inverter plant and the controller [2-3]. The system simulation leverages detailed IGBT models to estimate power dissipation, efficiency, and operating temperatures of the devices and of the overall switch-mode circuit that these devices are used in. Correlation of the simulation results with the power cycle curves of the Fuji IGBT leads to the estimation of the IGBT life time under specific stress conditions of the turbine system. Moreover, in today's market 50% of wind turbine inverters do not provide advanced diagnostic and monitoring capabilities, which is another advantage of the Smart Power Stack discussed in this example.
机译:由于美国能源效率和可再生能源的美国能源部报告,由于电气系统故障而导致的电气系统故障占所需维修总数的27%。此外,电子控制单元故障占总故障的16%,比机械或变速箱断裂引起的故障超过了3倍。一旦IGBT系统超过其早期生命阶段,其中大多数失败由于人类错误发生,它就会通过失败依赖于操作条件的寿命,包括IGBT模块和其他组件的整个系统的环境环境。在设计流程的非常早期阶段使用的高级仿真技术可以大量帮助制定选择与系统的寿命要求相匹配的IGBT的选择。在完整的系统(包括风力发生器,IGBT和FPGA控制器)的循环准确的可变时间步长模拟中,可以精确地确定接合点和壳体温度的IGBT的电源循环寿命。在本文中,使用逆变器工厂和控制器的新颖共模技术完成了智能电力堆栈中使用的富士电气的IGBT的建模和模拟。系统仿真利用了详细的IGBT模型来估算器件的功耗,效率和操作温度以及这些设备所使用的整体开关模式电路。模拟结果与富士IGBT引线的电源循环曲线的相关性估计涡轮系统特定应力条件下的IGBT寿命。此外,在今天的市场中,50%的风力涡轮机逆变器不提供先进的诊断和监控能力,这是该示例中讨论的智能电力堆栈的另一个优点。

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