Development of resilient microgrids in trailers

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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.