Control Systems for Renewable Wind and Solar Photovoltaic Energy Integration and Smart Microgrid

由于人们对环境问题的认识日益增强、燃料成本的增加以及对电力的高需求，可再生能源是世界上日益增长的电力来源。加拿大是一个幅员辽阔的国家，拥有丰富的风能和太阳能资源，这应该会成为利用这些可再生能源发电的国家中的佼佼者。*在这项提案中，将制定电力管理和控制方案，以运行基于可再生能源(风能和太阳能)发电机和混合存储能源系统(电池、超级电容器和燃料电池)的微电网，并能够在并网和离网模式下运行。将研究用于整合可再生发电机的多电平变流器配置，以增加这些电源在发电系统中的渗透率，并在发生故障时支持电网。储能系统将提高从风能和太阳能中最大限度地获取电力的能力，并通过储存多余的电力并在低风速和低太阳辐照度下使用来提高效率，这将增加可再生能源在电力生产中的贡献，并降低偏远社区的燃料消耗。*增加可再生风能-太阳能发电和储能的好处包括在整个电网范围内节省能源，减少温室气体排放和空气污染。这些系统将改善偏远社区和地区的生活质量，这些社区和地区需要在因电网故障而停电的情况下运行。*有效运行的电力管理和控制系统将包括天气预报、电力预测和负荷概况，以有效运行可再生微电网。人工智能将用于开发智能电力管理和控制系统，这将有助于为未来一代混合可再生能源系统提供尖端技术。这项研究将致力于在可再生能源和存储系统中寻找创新的、具有成本效益的解决方案。*将通过实时模拟和原型来研究微电网和并网可再生电力系统的控制设计和实施。将对建模和控制进行研究，以便了解所有组件的行为，并使系统与可靠的控制策略相匹配。将使用圣玛丽大学现有的研究设备进行模拟和实验，以验证拟议的控制和电源管理战略的性能。然后，将与工业合作伙伴合作，在基于微电网的真实混合可再生发电机上对研究成果进行工业规模的实验验证。*拟议的研究将为科学知识、行业解决方案和可再生能源领域HQP培训的成功做出贡献。

Renewable energy is a growing source of electricity in the world due to the increasing awareness of the environmental problems, the increase in the fuel cost and the high power demand. Canada is a large country and has various areas rich in wind and solar resources, which should make it to the top of countries capitalizing on these renewable sources for electricity production.***In this proposal, power management and control schemes will be developed to operate microgrids based on renewable (wind and solar) generators and hybrid storage energy systems (battery, supercapacitor and fuel cell) with capability to operate in grid-tied and off-grid modes. Multilevel converter configurations for integrating renewable generators will be investigated to increase the penetration of these sources in the power generation systems and support the grid in case of failure. Energy storage systems will improve the capacity to extract maximum power from wind and solar sources and improve their efficiency by storing the excess power and using it at low wind speed and sun irradiance, which will increase the contribution of renewable energy in electricity production and reduce the fuel consumption in remote communities.***The benefits of increased deployment of renewable wind-solar power with storage include grid wide energy savings and reductions in greenhouse gas emissions and air contaminants. Such systems will improve the quality of life in remote communities and locations required to operate under power outage due to grid failure.***Power management and control systems for efficient operation will include weather forecasting, power prediction and load profile to efficiently operate the renewable microgrid. Artificial intelligence will be used to develop smart power management and control systems, which will contribute to providing leading edge technology for the future generation of hybrid renewable energy systems. This research will be committed to finding innovative, cost effective solutions in renewable energy and storage systems.***Control design and implementation for microgrids and grid-tied renewable power systems will be investigated through real time simulation and prototyping. Modeling and control will be investigated in order to understand the behavior of all components and match the system with reliable control strategies. Simulation and experimentation will be conducted using the research equipment available at Saint Mary's University to verify the performance of the proposed control and power management strategies. Then, industrial scale experimental validation of the research findings will be carried out in collaboration with industrial partners on real hybrid renewable generators based microgrids.***The proposed research will bring contributions to scientific knowledge, solutions for industry and success for HQP training in the field renewable energy.