Virtual test bed of solar microgrid for testing predictive energy management system algorithms

用于测试预测能源管理系统算法的太阳能微电网虚拟测试台

• 批准号: 531890-2018
• 负责人: Merabet, Adel
• 金额: $ 1.82万
• 依托单位: Saint Mary's University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 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=659588
• 关键词: Virtual; test; bed; solar; microgrid

can operate either grid-tied or islanded and can switch between the two modes. Such complex system includes**distributed generators, renewable (wind, solar) or conventional, power electronic interface, storage and load. It**requires control of different tools for efficient operation, especially when dealing with intermittent resources.**Green Power Labs (GPL) develops prediction and energy management tools to maximize the efficiency of**operating microgrids based on solar sources with battery storage. The developed technology can be applied for**buildings and utilities. At the development stage, a simulated model of the microgrid is required to test the**control and energy management algorithms before deployment and operation.**In this proposal, a virtual test bed will developed to model a solar microgrid for testing GPL predictive energy**management Algorithms. The microgrid model will includes solar system, converters, battery storage with the**capability of operation in all modes. Control systems will be developed for operating the microgrid as an entity.**The project will provide a platform for Green Power Labs to develop and offer predictive control services and**products for building energy management, solar power plant management and demand response management.**Furthermore, it will help in training High Qualified Personnel (HQP) in this high technology field.**This project will bring contributions to scientific knowledge, solutions for industry and success for HQP**training in advanced technologies. Also, it will make Canada more productive and competitive in the field of**renewable energy.

可并网或孤岛运行，并可在两种模式之间切换。这种复杂的系统包括分布式发电机，可再生能源（风能，太阳能）或传统，电力电子接口，存储和负载。它**需要控制不同的工具以实现有效的操作，特别是在处理间歇性资源时。绿色电力实验室（GPL）开发预测和能源管理工具，以最大限度地提高基于电池存储的太阳能微电网的运行效率。所开发的技术可应用于**建筑和公用事业。在开发阶段，需要建立微电网仿真模型，在部署和运行前对微电网控制和能量管理算法进行测试。在本提案中，将开发一个虚拟测试平台来模拟太阳能微电网，用于测试GPL预测能量管理算法。微电网模型将包括太阳能系统、转换器、电池存储，具有在所有模式下运行的**能力。将开发控制系统，使微电网作为一个实体运行。**该项目将为绿色电力实验室提供一个平台，开发和提供用于建筑能源管理、太阳能发电厂管理和需求响应管理的预测控制服务和产品。此外，它将有助于培养高技术领域的高素质人才。**该项目将为HQP**先进技术培训带来科学知识、行业解决方案和成功。此外，它将使加拿大在可再生能源领域更具生产力和竞争力。