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所在平台: Udemy |
课程主页: https://www.udemy.com/course/renewable-energy-system-design-modeling-and-simulation/
课程评论：没有评论
**课程名称：** 可再生能源系统设计、建模与仿真 **课程概述：** 本课程将深入探讨各种可再生能源系统（如光伏电池、风力涡轮机等）的设计、建模和仿真概念。您将学习如何优化能源获取，包括掌握各种最大功率点跟踪（MPPT）算法，以从这些能源中提取最大功率。课程还将详细介绍基于PID、模糊控制和人工神经网络（ANN）等多种控制算法。此外，课程还涵盖了电网集成和并网可再生能源系统的仿真，全面展示了可再生能源系统的实际应用。所有仿真均在MATLAB/SIMULINK环境中进行。 **课程亮点：** 1. 深入浅出的理论概念讲解。 2. 加深对实际系统工作原理的理解。 3. 掌握人工神经网络（ANN）的设计、训练与仿真。 4. 学习各类实际系统的建模技术。 5. 掌握在Simulink中对可再生能源系统进行建模。 6. 学习设计和分析不同系统参数。 **您将学到：** * MPPT算法 * LQR和模糊控制 * 太阳能转换器的设计 * 基于机器学习（ML）和人工神经网络（ANN）的控制器设计 * P&O算法及其仿真 * 并网可再生能源系统设计 * 混合能源系统建模（太阳能+风能） * 可再生能源+电池储能系统的建模 **课程目标受众：** * 希望学习可再生能源系统建模的学习者。 * 可再生能源领域的工程毕业生。 * 需要进行相关研究的博士研究生。 * 渴望了解可再生能源系统设计与仿真技术的控制工程师。
In this course, you will learn the design modeling and simulation concepts of different renewable energy systems such as PV Cells, Wind turbines, etc. You will also learn different MPPT algorithms to obtain the maximum power from these sources. Several other control algorithms based on PID, Fuzzy control and Artificial Neural Network (ANN) have also been discussed in this course. Simulation of Grid integration and grid-connected renewable systems have also been included in this course to provide the complete usage of renewable energy systems. All the simulations are done on MATLAB/SIMULINK Environment.Some highlights1. Well explained theoretical concepts.2. More understanding of the workings of real systems.3. ANN design, training and Simulation4. Modeling techniques of real systems5. Simulink modeling of renewable energy systems.6. Designing and Analysis of different system parametersWhat you'll learnMPPT algorithmsLQR and Fuzzy controlDesign of solar convertersML and ANN based controller designP & O Algorithm and SimulationGrid-connected renewable energy designHybrid modeling (Solar + Wind)Renewable source + Battery based system modelingWho this course is for:1) If you want to learn modeling of renewable energy systems, then you should take this course.2) If you are an engineering graduate in renewable energy, then you must take this course.3) If you are a Ph.D. research scholar, then you must take this course.4) If you are a control engineer and want to learn more about designing and simulation of renewable energy systems, then you should take this course.
