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An innovative system restoration strategy using doubly‐fed induction generator‐based wind farms is proposed. The strategy involves retention of charge in the DC bus following a blackout and ‘Hot‐Swapping’ between direct flux control mode and conventional grid‐connected mode, which does not require resetting of any controller dynamic states and avoids the need for energy storage. An autonomous synchronisation mechanism enabled by remote synchrophasors is also proposed. A blacked‐out system, which includes a wind farm and a voltage source converter (VSC)‐HVDC connected to a network unaffected by blackout, is used as the study system. Transmission line charging and load pickup is performed using the wind farm in flux control mode while the VSC‐HVDC system conducts the same process for another portion of the system. The proposed ‘Hot‐Swapping’ and autonomous synchronisation approach is applied to connect the two parts of the grid and switch the wind farm to grid connected mode of operation. The results are demonstrated in a hybrid co‐simulation platform where the aforementioned system is modelled in EMT‐type software and the rest of the network is represented in a phasor framework.
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A Small-scale Implementation of Industry 4.0
This paper discusses the implementation of Industry 4.0 in an educational setting. Simulation, virtual reality, analytics, robotics and automation, and 3D printing are integrated to develop a small-scale production line for producing and inspecting 3D printed parts. The system consists of a robot and controller, programmable logic controller, 3D printer, machine vision system, conveyor belt, 3-phase motor and motor controller, webcam, PC and monitor, Raspberry Pi computer, pneumatic system, beam sensor, simulation software, and VR equipment. The system components are connected via ethernet cables running to a basic ethernet switch. An ethernet router is also connected to the switch to resolve IP connection attempts by the connected components. A mini CNC machine is used to drill holes on small metal parts that are assembled with 3D printed parts and plastic bricks to make a car toy. A robot is pre-programmed to perform the assembly of the car toy and a Cognex® camera is used to inspect the parts. Deep learning models are used to predict the remaining useful life of the drilling bits.
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- Award ID(s):
- 1711603
- PAR ID:
- 10293626
- Date Published:
- Journal Name:
- Proceedings of the 2020 IISE Annual Conference
- Page Range / eLocation ID:
- 1-6
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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