Development of resilient microgrids in trailers

加拿大和全世界正朝着在城市和偏远社区部署清洁能源系统的方向发展，并为恶劣环境和紧急情况提供弹性能源系统。离网能源解决方案的部署对于偏远社区、采矿和紧急情况等许多设施至关重要。MOBISMART开发了MOBISUN作为一个离网解决方案，通过集成太阳能，风能，电池和传统的**发电机提供离网能源供应。该系统可以通过集成多个具有高效能源管理的单元来扩展，通过智能控制和优化算法提供高性能的充电/放电能力。这项技术在加拿大和全球范围内具有潜在的应用前景，可用于偏远社区、恶劣和极端环境，以及许多替代天然气能源供应的应用，如通信、铁路、建筑、管道和采矿设施。有扩展的**用户要求在多个MOBISUN单元中集成大量电池系统，以增加**规模并增强充放电性能，以满足目标负载。拟议的研究由UOIT的**Hossam Gaber博士领导，主要目标是进行研究，以增强储能系统的设计配置和技术，并集成智能控制和优化算法，以**提高一个单元的性能，并允许多个MOBISUN单元的集成，以增加**利润和投资回报率。多个MOBISUN将提供更大的容量来满足目标负载和增强的性能。**要准确建模仿真，对综合控制系统进行**不同设计配置和运行场景的测试，包括不同天气条件和负荷剖面。**将开发智能算法，根据关键性能指标（kpi），从生命周期成本、**性能、可靠性和安全性等方面优化整体性能。所提出的控制技术将基于动态负荷和移动性模型，针对多个微电网和存储系统和技术的选定kpi进行优化。

Canada and worldwide are moving towards deploying clean energy systems in urban, remote communities, and**providing resilient energy systems for harsh environments and emergencies. The deployment of off-grid energy**solutions is essential for a number of installations such as remote communities, mining, and emergencies.**MOBISMART developed MOBISUN as an off-grid solution by integrating solar, wind, battery, and traditional**generators to offer off-grid energy supply. The system can be expanded by integrating multiple units with**efficient energy management to offer high performance charging/discharging capabilities using intelligent**control with optimization algorithm. This technology has potential deployment in Canada and worldwide for**remote communities, harsh and extreme environment, and number of applications to replace gas-based energy**supply such as communications, railways, construction, pipeline, and mining installations. There are extended**user requirements to integrate large number of battery systems in multiple MOBISUN units to increase the**scale and enhance charging/discharging performance to meet target loads. The proposed research is led by Dr.**Hossam Gaber at UOIT and have the main objective is to conduct research to enhance the design configuration**and technology of energy storage systems, and integrate intelligent control and optimization algorithms to**improve the performance of one unit and allow the integration of multiple MOBISUN units with increased**profit and ROI. Multiple MOBISUN will offer larger capacity to meet target loads and enhanced performance.**The modeling and simulation should be performed accurately, and integrated control system will be tested for**different design configuration and operation scenarios, including different weather conditions and load profiles.**Intelligent algorithms will be developed to optimize the overall performance in terms of lifecycle cost,**performance, reliability, and safety in view of Key Performance Indicators-KPIs. The proposed control**technique will be optimized based on dynamic load and mobility models, for the selected KPIs of multiple**microgrids and storage systems and technologies.