Dynamic Modeling and Control of Hybrid Power Systems

混合动力系统的动态建模和控制

• 批准号: RGPIN-2019-04126
• 负责人: Iqbal, Mohammad
• 金额: $ 2.04万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=713791
• 关键词: Dynamic; Modeling; Control; Hybrid; Power

Power systems that include conventional generation and renewable energy sources are called hybrid power systems. Canada has hundreds of remote isolated diesel-powered communities and many people live off-grid. Each remote community and isolated home can potentially use a more effective hybrid power system to supply power needs. The optimal sizing of a hybrid power system depends on the configuration of system components and cost analysis. The analysis and design of hybrid power systems is complex because of the nonlinear power characteristics of the components, e.g., wind turbine, PV system, energy storage, backup generator, and the load. Hybrid power systems also require optimal dynamic and supervisory controllers and may involve AC as well as a DC bus. The objectives of the proposed research program are to develop new predictive models and optimal control systems and components for small hybrid power systems. This research will integrate subsystem level models of small wind turbines, photovoltaic solar cells, batteries, and generators to develop new dynamic models of hybrid power systems. System controllers will be designed with the simulation results of hybrid power system models. More specifically, the research program will develop and identify: (1) new methods to determine a reduced order dynamic model of hybrid power systems that could be simulated more quickly than existing models; (2) intelligent control methods including supervisory controllers and ultra-low power data loggers; (3) a new linear parameter varying controller and a fuzzy supervisory controller for hybrid power systems and determine the best operational strategy; and (4) a low voltage nano-grid to power remote houses with distributed battery storage and renewable sources including a dynamic and supervisory controller for optimal operation. The research will develop a method to eliminate circulating currents between converters in hybrid power systems when such converters are working in synchronous and asynchronous switching modes. Also, it aims to develop a new method for reliability analysis of small remote hybrid power systems. The reduced order modeling and design of new ultra-low power controllers and data loggers are innovative since they will positively impact simulation techniques and phantom losses in hybrid power systems. The proposed research on a nano-grid will design a new supervisory controller and resolve its associated converters issues. The proposed research program will lead to new knowledge on hybrid power systems, their design, control, instrumentation, data logging, and reliability analysis. The research will enhance the adoption of renewable energy in Canada thereby helping to meet its commitment to reduce emissions and improves the lives of people living in remote northern communities. This research will also train ten graduate students on hybrid renewable power systems, hence developing the needed HQP for the renewable energy industry in Canada.

包括常规生成和可再生能源在内的电力系统称为混合动力系统。加拿大拥有数百个偏远孤立的柴油动力社区，许多人生活在离网上。每个远程社区和孤立的房屋都可以使用更有效的混合动力系统来满足电力需求。混合动力系统的最佳尺寸取决于系统组件的配置和成本分析。由于组件的非线性功率特性，例如风力涡轮机，PV系统，储能，备用生成器和负载，因此混合动力系统的分析和设计很复杂。混合动力系统还需要最佳的动态和监督控制器，并且可能涉及AC和DC总线。 拟议的研究计划的目标是为小型混合动力系统开发新的预测模型和最佳控制系统和组件。这项研究将整合小型风力涡轮机，光伏太阳能电池，电池和发电机的子系统级别模型，以开发混合动力系统的新动态模型。系统控制器将通过混合动力系统模型的仿真结果设计。更具体地说，研究计划将开发和识别：（1）确定降低的混合动力系统订购动态模型的新方法，该模型可以比现有模型更快地模拟； （2）包括监督控制器和超低功率数据记录器的智能控制方法； （3）一个新的线性参数变化控制器和混合动力系统的模糊监督控制器，并确定最佳的操作策略； （4）一个低压纳米网格到电源远程房屋，具有分布式电池存储和可再生资源，包括动态和监督控制器，以进行最佳操作。当此类转换器以同步和异步开关模式工作时，这项研究将开发一种方法，以消除混合动力系统中转换器之间的循环电流。此外，它旨在开发一种新的方法来对小型远程混合动力系统的可靠性分析。新的超低功率控制器和数据记录仪的订购建模和设计减少，因为它们将积极影响混合动力系统中的仿真技术和幻影损失。拟议的对纳米网格的研究将设计新的监督控制器，并解决其相关转换器问题。 拟议的研究计划将导致有关混合动力系统，其设计，控制，仪器，数据记录和可靠性分析的新知识。这项研究将增强加拿大的可再生能源的采用，从而有助于实现其减少排放的承诺，并改善偏远北部社区的人们的生活。这项研究还将在混合可再生能源系统上培训十名研究生，从而为加拿大可再生能源行业开发所需的HQP。