Date of Graduation
Statler College of Engineering and Mineral Resources
Lane Department of Computer Science and Electrical Engineering
Microgrids are the integration of a large number of distributed energy resources in a decentralized way such that the energy supply reliability and resiliency are enhanced against natural disasters, physical and cyber disruptions. This dissertation addresses three main challenges for microgrid operation and management:
1) According to fast growing number of Electric Vehicles (EV) deployment, their impacts on microgrids resulted from their uncertain behaviors are new concerns for the microgrid operators. These concerns can be EV charging and discharging schedule and locations of EV parking-lots in the system which are considered and solved using stochastic modeling and optimization algorithms based on Artificial Intelligence (AI) techniques.
2) As the penetration of renewable energies, generally, uncertainties, increase in microgrids, a more dynamic is emerging that makes the islanded microgrid control more challenging due to stochastic dynamic encumbrances. These stochastic encumbrances can create oscillatory response which eventually leads to astray controls and instability even under primary and traditional secondary controllers. This dissertation develops AI-based and analytical based secondary control for the islanded microgrids to compensate the response deviation in the presence of intermittent energy resources and uncertain load changes.
3) Although the increased integration of cyber and communication networks in microgrids, brings myriad benefits, they are prone to cyber disruptions which may cause critical social impacts and financial losses. Our vulnerability analysis proves that cyber disruption can deteriorate the control performance or even cause unstable operation. Therefore, this dissertation designs a resilient secondary control to mitigate these cyber disruptions.
Khalghani, Mohammad Reza, "Resilient Stochastic Control Strategies in Cyber-Physical Microgrids" (2019). Graduate Theses, Dissertations, and Problem Reports. 7483.