可再生能源发电系统的动态建模与仿真分析

摘要 

  随着全球能源需求增长和环境问题日益严峻,可再生能源发电成为实现可持续发展的关键途径。本研究聚焦于可再生能源发电系统的动态建模与仿真分析,旨在通过建立精确的数学模型揭示系统内部机理并优化运行性能。基于此目的,采用多学科交叉融合的方法,综合运用电力电子、自动控制以及计算机仿真技术,针对风力发电和光伏发电两种典型可再生能源发电形式构建了涵盖从能量采集到并网传输全过程的动态模型。创新性地引入了自适应控制算法以应对可再生能源固有的间歇性和随机性特征,提高了系统的稳定性和可靠性。通过MATLAB/Simulink平台进行大量仿真实验,结果表明所提出的模型能够准确反映实际系统的动态特性,在不同工况下均表现出良好的适应能力。此外,该模型为后续深入研究如故障诊断、优化调度等提供了坚实基础,对于推动可再生能源发电技术的发展具有重要意义。

关键词:可再生能源发电;动态建模;自适应控制


Abstract

  With the increasing global energy demand and the growing severity of environmental issues, renewable energy generation has become a critical pathway to achieving sustainable development. This study focuses on the dynamic modeling and simulation analysis of renewable energy generation systems, aiming to establish accurate mathematical models to reveal internal mechanisms and optimize operational performance. To achieve this ob jective, an interdisciplinary approach integrating power electronics, automatic control, and computer simulation techniques is adopted. Dynamic models covering the entire process from energy harvesting to grid integration are constructed for two typical forms of renewable energy generation: wind power and photovoltaic power. An innovative adaptive control algorithm is introduced to address the inherent intermittency and randomness characteristics of renewable energy sources, thereby enhancing system stability and reliability. Extensive simulation experiments conducted on the MATLAB/Simulink platform demonstrate that the proposed model accurately reflects the dynamic characteristics of actual systems and exhibits excellent adaptability under various operating conditions. Furthermore, this model provides a solid foundation for subsequent in-depth research such as fault diagnosis and optimal scheduling, playing a significant role in advancing renewable energy generation technology.

Keywords:Renewable Energy Generation; Dynamic Modeling; Adaptive Control




目  录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
(三) 研究方法概述 2
二、可再生能源发电系统建模基础 2
(一) 发电系统基本原理 2
(二) 数学模型构建方法 3
(三) 模型参数辨识技术 4
三、动态特性分析与仿真设计 4
(一) 动态响应特性分析 4
(二) 仿真平台搭建过程 5
(三) 关键仿真算法研究 6
四、案例分析与结果验证 7
(一) 实际案例选取原则 7
(二) 模型有效性评估 8
(三) 结果分析与讨论 8
结 论 10
参考文献 11
 
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