In this talk, Prof.Osama will describe how the developed solution can protect the power grid, industrial systems, smart homes and transportation systems and infrastructures from cyber-attacks as well as build cybersecurity protection into emerging power grid components and customer based services. This includes microgrid and demand-side management components as well as protect the network (substations and productivity lines) and data infrastructure to increase the resilience of the energy delivery systems against cyber-attacks.
This seminar will introduce one new reasonable equivalent circuit for LIM performance analysis, as well as some specific design and control case studies. The new modelling can be also extended to other potential applications to increase the LIM performance indexes, such as average torque, efficiency, etc.
The seminar will present a detailed introduction to the field and one of those developed pumps will be highlighted in detail through the seminar. These pumps can be used in many industries like in electric cars in the near future. Future research will be wide broad and grants will be supported by “Going for Green” direction from the government agencies, revenue-service transit authorities, and transportation corporations.
The technical tutorial aims to explain and discuss:
- Real-time simulators (RTS) of modern electric systems, and their role of RTS in building reliable and efficient energy systems
- Applications of hardware-in-the-loop RTS in the design and testing of power systems, renewable energy systems, microgrids, energy conversion systems
- State-of-the-art in RT Simulators: features, capabilities, and sample case studies
This presentation will show an advanced techno-economic proposed to the National Grid UK that facilitates the integration of advanced models of smart grid technologies from demand response, OHL flexible ratings and battery storage systems for the optimal network flexibility and resilience at critical conditions. This tool provides the operators with metrics to identify the tecno-economic benefits for the network as well as metrics that quantify the risks resulted from the smart grid solutions integration. Such risks are demand response uncertainties, OHL and battery ageing (i.e. reducing the asset’s lifetime). It allows the operators to establish a comparative framework between the network techno-economic benefits and smart grid inclusion risks accounting for the benefit of deferring network expansion requirements. The impact of the developed technologies on enhancing the network resilience with respect to high impact low probability events will be also highlighted.
