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This website uses cookies. Read RT Privacy policy to find out more. Where to watch. RT Shop. RT News App. Question more live. A patch that fixed a critical vulnerability in a popular piece of software described as the worst in a decade by some has introduced at least two new ways for malicious actors to attack servers.

Surface update history. Create a USB recovery drive. Surface RT More Need more help? Join the discussion. Was this information helpful? Yes No. Thank you! Any more feedback? The more you tell us the more we can help. Can you help us improve? Resolved my issue. Clear instructions. Easy to follow. No jargon. Pictures helped. Since the study focuses on the ATENEA microgrid, which is composed of lithium, flow and lead-acid energy storage systems, a gen-set, programmable loads, one electric car, solar generation and grid connection, this system has been modelled and then simulated in an OPAL-RT target.

Through a previous process of validation of every model as well as the communication system with the EMS, the built system allows to design, adjust, and validate the strategies and control systems before testing them in ATENEA.

Thirdly, we then test both the developed algorithm and the lightweight IED controller via various simulation scenarios. We perform testing scenarios of a developed MGS in a microgrid cyber-physical simulation subject to cyber-attacks in our lab.

These testing are designed through performing two MGC testing scenarios. Secondly, we test a packet manipulation on a measured data attack. Low-inertia power systems can experience high rates of change of frequency and large frequency deviations during power imbalances.

Inertia emulation using high power density storage systems such as a Flywheel Energy Storage System FESS , can help limit the rate of change of frequency following sudden changes in generation or demand. In this presentation, a new adaptive inertia emulation controller for a high-speed FESS is proposed. To validate the behavior of the FESS with the proposed control design, the controller is implemented on a real 60 kW high-speed FESS, using the concept of rapid control prototyping.

The performance of the FESS, equipped with the adaptive inertia emulation controller, is evaluated by means of Power Hardware-in-the-Loop PHIL simulations using the real-time simulation model of a low voltage microgrid.

The State-space Nodal SSN solver is also applied to reduce the simulation time step of the microgrid model. The results of PHIL simulation show that the FESS with the newly-proposed adaptive inertia emulation controller outperforms the previously-suggested adaptive control designs, in terms of reducing the maximum rate of change of frequency and limiting the maximum frequency deviation, while not demanding significantly more energy from the FESS. Modular Multilevel Cascaded Converters MMCC have attracted considerable attention from the power electronic and drive research community since their introduction at the beginning of Still, recently, they have been introduced into other fields, e.

However, the M2C has some difficulties in achieving good performance in applications where the electrical machine operates at a very low speed.

However, novel converters require complex implementations and control strategies that have hindered the number of works where experimental results of these topologies are reported. Thus, the testbed can perform rapid control prototyping testing and Power Hardware in The Loop analyses of novel topologies such as M3C, Hexverter and other novel topologies.

Smart grid applications, especially those focusing on the coordination of distributed flexibilities, include many devices governed by increasingly complex software architectures, all linked together by communication technology. In theory, some of these applications would have the potential to revolutionize the way the grid is being operated.

However, in practice they are met with skepticism due to the uncertainties and vulnerabilities that these systems might introduce. Therefore, exhaustive testing and validation steps need to be undertaken before deployment to guarantee reliability.

Approaching this task manually is extremely time-consuming and error prone. In this presentation we show an approach to automatically generate cyber-physical test beds which allow the evaluation of such applications.

Several model generators parse the PSAL code, and they automatically build a real-time simulation of the physical system; they establish various interfaces for the controllers to interact with the sensors and actuators; they package the controllers and deploy them to their designated locations; and they configure the data collection framework to enable the recording and analysis of experiment data.

The success of EVs depends on the charging infrastructure. Due to different charging standards, it is difficult for EV manufacturers to rely on any one standard. Therefore, there is a need to design a charging system which can fit in many charging protocols. This presentation will give an insight into the different charging standards and their probable solutions. The power-motor speed characteristics for different armature voltages in the motor are like the power-turbine speed characteristics for varying wind speeds in the turbine.

WTE is a power electronic step-down chopper that is interfaced with a mathematical model of wind turbine present in the RT simulator. The wind turbine model generates a reference armature current that is compared with the actual armature current of the motor. The laboratory setup consists of a WTE that is coupled to a three-phase permanent magnet synchronous generator PMSG as a standalone system.

The turbine model and PMSG model are presented in this paper. Precision is the most important aspect for designing, controlling, or validating any power system—and due to this, real-time simulation is growing.

Especially in design, it allows accurate modeling of a system, which is the baseline of design. For the validation of its behavior in real time, it has been compared to the detailed inverter model having the same input variables and control dynamics. The results reveal that the proposed inverter model keeps the total harmonic distortion within limits as per the latest grid code and, at the same time, it maintains the required accuracy for the system.

Further, this work shows the importance of real-time simulation by comparing its mode of simulation with other offline modes of simulations such as normal, accelerator and rapid accelerator. This work proposes an interfacing technique that uses the built-in three-phase transmission line models available in simulation platforms to perform Root Mean Square RMS -Electromagnetic Transient EMT real-time, multi-domain and multi-rate co-simulation.

The main objective of this paper is to show the application of this kind of simulation in hardware-in-the-loop HIL testing of protective relays. However, the proposed technique is sufficiently general to be applied to other real-time simulation platforms that have similar built-in transmission line models. To convert waveforms to phasors, a non-buffered rapid curve fitting method was implemented to attend to real-time constraints.

During the testing phase of this research, tests for the HIL were completed using an actual transmission line protection relay. The presented results of tests highlight the benefits of the proposed interfacing technique. With the increasing level of penetration of renewable production and the need for long-distance energy transport, Multi-Terminal DC grids MTDC have become a crucial field of research for the future development of wide-scale DC grids.

These MTDC grids pose several technical challenges: protecting the DC grid against electrical faults; transforming DC voltage; and controlling the flow of energy in a meshed system. This interface allows a user to interact with the electrical system: launch a start-up sequence to connect the DC Grid, simulate a fault to test the implemented protection strategy.

The distribution system has undergone tremendous upgrades that have leaned toward a more carbon-free, reliable, and resilient infrastructure. This has been made possible by incorporating more sophisticated controllers in conventional generation, smart inverters based distributed generation, automatic load regulators, seamless interfacing of mini, micro and nano grids etc.

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