Control Issues in Robust High-efficiency Energy Conversion with Application to Renewable Energy Systems

可再生能源系统中鲁棒高效能量转换的控制问题

• 批准号: RGPIN-2015-03811
• 负责人: Moallem, Mehrdad
• 金额: $ 2.19万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=659926
• 关键词: Control; Issues; Robust; efficiency; Energy

Modern renewable energy systems (RES) face two main challenges in their evolution: (1) Fundamental sciences and technologies to produce reliable and economical energy sources; and (2) Energy processing technologies for reliable and optimal conversion of energy into usable forms. Although the electronics technology has been perfected in the past decades, it has to be redesigned and adapted to match new challenges. To this end, control, communication, and computing technologies, along with new power electronics converters and devices are expected to become increasingly important in modern RES. An area of particular importance is stable and robust control of intermittent power sources, loads, and energy storage devices. In particular, switching power converters are intrinsically nonlinear, subject to strict input/state constraints, and suffer from various uncertainties. Most existing control methods utilize linearized steady state models that neglect the above constraints or cannot be used to design robust controllers required by intermittent energy sources. Another common feature of RES energy converters is the existence of an optimal power operating point, which is dependable on the available input power and load conditions. To maximally utilize such converters, the power processing stage has to autonomously track the optimal point in a reliable and accurate manner. Furthermore, renewable energy systems often have inherently nonlinear characteristics with significant parametric and dynamic uncertainties. Hence, design methods based on linearization may fail to provide the full benefits of feedback systems due to neglecting nonlinear effects. ***To address the above challenges, the proposed research will investigate the following research topics: (a) Development of innovative extremum seeking algorithms to maximize energy harnessing efficiency through advanced controls; (b) Addressing dynamic stability issues in power electronics converters, including internal dynamics instability of boost converters and negative resistance instability due to constant and variable power loads; (c) Reduction of the number of sensors in power converters and fault tolerant control through advanced signal processing; and  (d) Experimental proof-of-concept validation of the research activities listed in parts (a)-(c) on laboratory scale setups to demonstrate the proposed solutions. This research program is motivated by pressing needs in modern energy conversion technology. As such, it would lead to innovative control design methods for power conversion by addressing some key technology barriers in RES such as stability, sensory requirement, and maximization of energy harnessing capability. The program will make new contributions to the RES literature, develop new expertise, and will further be utilized to initiate collaborative activities with relevant Canadian industries. **

现代可再生能源系统（RES）在其进化中面临两个主要挑战：（1）基础科学和技术，以产生可靠的经济能源； （2）能源处理技术可靠和最佳转化为可用形式的能源处理技术。尽管电子技术在过去几十年中一直是完美的，但必须对其进行重新设计和适应以应对新的挑战。为此，预计在现代RES中，预计，控制，沟通和计算技术以及新的电力电子转换器和设备将变得越来越重要。特别重要的区域是对间歇源，负载和能源存储设备的稳定且可靠的控制。特别是，开关功率转换器本质上是非线性的，受严格的输入/状态约束，并且遭受各种不确定性。大多数现有的控制方法都使用线性化稳态模型，这些模型忽略上述约束或不能用于设计间歇性能源要求的强大控制器。 RES Energy转换器的另一个常见特征是存在最佳功率工作点，该功率工作点取决于可用的输入功率和负载条件。为了最大程度地利用此类转换器，功率处理阶段必须自主以可靠和准确的方式自动跟踪最佳点。此外，可再生能源系统通常具有固有的非线性特征，具有明显的参数和动态不确定性。因此，基于线性化的设计方法可能由于忽视了非线性效应而无法提供反馈系统的全部好处。 ***为了应对上述挑战，拟议的研究将调查以下研究主题：（a）创新的极值寻求算法，以通过高级控制来最大程度地利用能量利用效率； （b）解决电力电子转换器中的动态稳定性问题，包括增强转换器的内部动力学不稳定性以及由于恒定和可变功率载荷而导致的负电阻不稳定；（c）通过高级信号处理，电源转换器中传感器数量的减少和容错控制； （d）在实验室规模设置中列出的（a） - （c）部分中列出的研究活动的实验概念验证验证，以证明所提出的解决方案。该研究计划是由现代能源转化技术的迫切需求激发的。因此，通过解决RES中的一些关键技术障碍，例如稳定性，感官需求和能源刺激能力的最大化，这将导致用于电源转换的创新控制设计方法。该计划将为文学文献做出新的贡献，发展新的专业知识，并将进一步利用与相关的加拿大行业启动合作活动。 **