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Behavioral modelling and identification of power electronics converters and subsystems based on transient response

机译:基于瞬态响应的电力电子变换器和子系统的行为建模和识别

摘要

Nowadays, electrical engineers face significant changes in the way the electrical energy is generated and distributed to the consumers. On the one hand, the number of electronic and electrical loads in power distribution systems is continuously growing. Developments in power electronics technology during last decades have enabled the use of power-electronics-based subsystems as an alternative to mechanical, hydraulic and pneumatic subsystems, looking for more reliable and light systems, and a reduction in maintenance costs and environmental impact. On the other hand, due to the growth of alternative energy sources, power distribution systems supply the load not only from a single source but from a variety of energy sources such as batteries, fuel cells, solar panels and electromechanical generators. Consequently, power distribution systems are incorporating more and more power electronics converters, thus moving from traditional centralized architectures to distributed ones, where a variety of interconnected power converters supply a number of electrical and electronic loads with different voltage levels and dynamic requirements from a variety of energy sources. Current trends in power distribution systems for aircrafts, naval ships, hybrid/electric vehicles, telecommunications, datacenters, satellites as well as initiatives in micro-grids illustrate this concept. Such increase of power converters means increasing complexity of the power distribution architecture, at system-level rather than at converter-level. Dynamic interactions between regulated converters, activation of protections, connections and disconnections of load and sources are some problems to be faced by system engineers. Hence, modeling and simulation becomes a powerful system integration tool to ensure proper performance of the whole system at all operating conditions. However, modeling in power electronics have been traditionally focused on the design of the converters itself, rather than the integration of systems comprised of multiple converters. Most modeling approaches provide a detailed description of the internal signals of the power converter as well as requires detailed knowledge of its internal structure. However, new power distribution systems are comprised of a number of power converters provided by a variety of manufacturers. Companies need to protect their know-how, so they provide limited information about their products which is rarely sufficient to build a conventional average model or switching model. Also, excessively detailed models lead to unacceptable simulation time when large power distribution systems are analyzed. In order to cope with this lack of models, first proposals on system-level modeling of power converters have been recently proposed. The models are referred to as “behavioral models” since they only reproduces the behavior of the input-output voltages and currents and do not represent in detail the internal structure of the converter. Hence, they can be provided by the manufacturer while keeping confidential information. Moreover, behavioral models can be fully parameterized from a set of experimental measurements by the end user. However, the reported references so far are focused on DC-DC converters, either un-regulated or output voltage-regulated. The aim of this thesis is to propose novel system-level behavioral modeling and identification methods for several types of power electronics converters and other power-electronics-based subsystems typically integrated in power distribution architectures. The main characteristics of the proposed methods are the following ones: · The models are fully parameterized from a set of experimental tests and do not represent details about the internal structure of the modeled converter/subsystem. The models are simple, are built using dynamic transfer functions combined with nonlinear static functions, and reproduce the large-signal behavior of the converter/subsystem in terms of the signals required for system-level analysis, typically input-output voltage and currents. · The proposed identification method is based on the transient response of the input-output signals under a set of step tests. The tests are simple and can be carried out using low-cost equipment: switches, passive loads and a data acquisition system (e.g. an oscilloscope). From the transient response, a parametric identification algorithm is applied to identifiy transfer function models. --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
机译:如今,电气工程师面临着电能产生和分配给消费者的方式的重大变化。一方面,配电系统中电子和电气负载的数量持续增长。过去几十年来,电力电子技术的发展已使基于电力电子的子系统可以替代机械,液压和气动子系统,从而寻求更可靠,更轻便的系统,并降低了维护成本和环境影响。另一方面,由于替代能源的增长,配电系统不仅从单一来源提供负载,而且还从各种能源(例如电池,燃料电池,太阳能电池板和机电发电机)提供负载。因此,配电系统中集成了越来越多的电力电子转换器,从而从传统的集中式架构转变为分布式的架构,在该架构中,各种相互连接的电力转换器为各种电气和电子负载提供了电压和动态要求,这些负载来自各种能源。飞机,海军舰船,混合动力/电动车辆,电信,数据中心,卫星以及微电网计划中的配电系统的当前趋势说明了这一概念。功率转换器的这种增加意味着在系统级别而不是转换器级别上功率分配架构的复杂性增加。调节转换器之间的动态交互,保护的激活,负载与电源的连接和断开是系统工程师要面对的一些问题。因此,建模和仿真成为功能强大的系统集成工具,可确保整个系统在所有操作条件下的正常运行。然而,电力电子学中的建模传统上一直专注于转换器本身的设计,而不是由多个转换器组成的系统的集成。大多数建模方法都提供了电源转换器内部信号的详细描述,并且需要对其内部结构的详细了解。但是,新的配电系统由许多制造商提供的许多电源转换器组成。公司需要保护其专有技术,因此他们提供的产品信息有限,而这些信息很少足以建立传统的平均模型或转换模型。此外,在分析大型配电系统时,过于详细的模型会导致不可接受的仿真时间。为了应对模型的这种缺乏,最近提出了关于功率转换器的系统级建模的第一项提议。这些模型被称为“行为模型”,因为它们仅重现输入输出电压和电流的行为,而未详细表示转换器的内部结构。因此,它们可以由制造商提供,同时保留机密信息。而且,行为模型可以由最终用户从一组实验测量中完全参数化。但是,到目前为止,已报道的参考文献都集中在未稳压或输出电压稳压的DC-DC转换器上。本文的目的是为几种类型的电力电子转换器和通常集成在配电架构中的其他基于电力电子的子系统提供新颖的系统级行为建模和识别方法。所提出方法的主要特征如下:·模型是通过一组实验测试完全参数化的,并不代表有关模型转换器/子系统内部结构的详细信息。这些模型很简单,是使用动态传递函数与非线性静态函数相结合构建的,并且根据系统级分析所需的信号(通常是输入输出电压和电流)来再现转换器/子系统的大信号行为。 ·所提出的识别方法基于一组步骤测试下输入输出信号的瞬态响应。测试很简单,可以使用低成本设备进行测试:开关,无源负载和数据采集系统(例如示波器)。根据瞬态响应,将参数识别算法应用于识别传递函数模型。 -------------------------------------------------- -------------------------------------------------- -------------------------------------------------- --------------------------------------

著录项

  • 作者

    Valdivia Guerrero Virgilio;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 eng
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