Real-time co-simulation platform using OPAL-RT and OPNET for analyzing smart grid performance

Bian, Desong; Kuzlu, Murat; Pipattanasomporn, Manisa; Rahman, Saifur; Wu, Yiming

doi:10.1109/pesgm.2015.7286238

Cited by 80 publications

(41 citation statements)

References 4 publications

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“…The OPAL-RT simulator allows the behavior of the power grids to be simulated in detail. This software has already been widely used in literature for the analysis of electrical networks [27][28][29].…”

Section: As Indicated Inmentioning

confidence: 99%

A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems

et al. 2019

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Renewable Energy Sources (RES) have taken on an increasingly important role in the energy mix in the last few years, and it has been forecasted that this trend will continue in the future. The energy production from these sources is not dispatchable, and the increasing penetration of RES in energy mixes may therefore lead to a progressive loss of generation control and predictability. It has become clear that, to reach higher RES penetration levels, it is essential to increase power system flexibility in order to ensure stable operations are maintained. An ICT (Information and Communication Technology) tool that may be used to manage and optimize the flexibility offered by energy storage and conversion systems is described in this paper with specific reference to the Decision Support System (DSS) developed within the H2020 PLANET (PLAnning and operational tools for optimizing energy flows and synergies between energy NETworks) project. The paper focuses on how the PLANET DSS tool evaluates, manages, and dispatches the flexibility of Power to Gas/Heat (P2X) technologies. Moreover, the tool has been used to analyze a realistic case in order to show how the PLANET DSS tool could be used to evaluate the energy and economic benefits of taking advantage of the flexibility of P2X technologies.Energies 2020, 13, 153 2 of 16 allow flexibility to be increased thanks to interconnections between energy sectors [12,13]. Moreover, energy systems are becoming more and more costumer centric, and in this context it becomes very important to be able to define appropriate systems of measurement and prediction of energy flows [14] in order to be able to analyze the flexibility potential within energy systems.In these scenarios, energy flows within energy systems are somewhat complicated and intricate, due to the interconnection of different energy networks and the increase in stochasticity resulting from distributed generation. For this reason, it is important to have computer simulation tools available to analyze these interconnected energy flows and to evaluate the energy and economic impact of different technologies and regulations on the entire system [15,16].A specific ICT DSS tool has been proposed by The EU-Funded H2020 PLANET project [17] to analyze and optimize the flexibility of P2X energy conversion technologies. The project provides an ICT platform to support network operators/planners, P2X plant managers, load aggregators, and policy makers in order to increase the integration of renewables.Several software programs are available in the literature to simulate energy flows in a Multi Energy System (MES) [16,18,19]. The main advantage of using the PLANET DSS lies in the fact that the tool is built on a web platform: through the web platform, the users can setup and execute a remote simulation, and in this way the various actors can benefit from using a dedicated super-computer for their simulation, to which they would otherwise not have access. Moreover, due to middleware-based communication, Demand-Response (DR) signals ...

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Section: As Indicated Inmentioning

confidence: 99%

A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems

et al. 2019

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“…SGSim combines Omnet++, another communication network simulator, and OpenDSS to simulate and investigate new approaches of Smart Grid applications. Moreover, Bian et al [20] present a real-time co-simulation platform using Opal-RT and OPNET for analysing Smart Grid performance exploiting the possibility to interface OPNET simulation environment with the real world through Internet Protocol (IP). Venkataramanan et al [21] present an ad hoc co-simulation framework to design a testbed for microgrid cyber-physical analysis by combining (i) RTDS, (ii) a communication network emulator using Common Open Research Emulator (a.k.a.…”

Section: Co-simulation Platformsmentioning

confidence: 99%

A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

et al. 2019

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In order to systematically shift existing control and management paradigms in distribution systems to new interoperable communication supported schemes in smart grids, we need to map newly developed use cases to standard reference models like Smart Grid Architecture Model (SGAM). From the other side, any new use cases should be tested and validated ex-ante before being deployed in the real-world system. Considering various types of actors in smart grids, use cases are usually tested using co-simulation platforms. Currently, there is no efficient co-simulation platform which supports interoperability analysis based on SGAM. In this paper, we present our developed test platform which offers a support to design new use cases based on SGAM. We used this platform to develop a new scheme for wide area monitoring of existing distribution systems under growing penetration of Photovoltaic production. Off-the-shelf solutions of state estimation for wide area monitoring are either used for passive distribution grids or applied to the active networks with wide measurement of distributed generators. Our proposed distribution state estimation algorithm does not require wide area measurements and relies on the data provided by a PV simulator we developed. This practical scheme is tested experimentally on a realistic urban distribution grid. The monitoring results shows a very low error rate of about 1 % by using our PV simulator under high penetration of PV with about 30 % error of load forecast. Using our SGAM-based platform, we could propose and examine an Internet-of-Things-based infrastructure to deploy the use case.

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“…The NETOMAC has the capability of HIL testing for protective relays. Since 1997, OPAL-RT Technologies Inc. was established and developed a real-time simulator called OPAL-RT, which has been demonstrated the excellent ability of running real-time simulation and HIL testing for electrical, electro-mechanical and power electronics systems [78][79][80]. Conventional power system real-time simulators such as RTDS and OPAL-RT, are limited by the switching frequency and high-cost.…”

Section: A Review On Real-time Simulation For the Apf Applicationmentioning

confidence: 99%

Controller Implementation and Performance Evaluation of a High Power Three-Phase Active Power Filter using Controller Hardware-in-the-Loop Simulation

Gole

2018

2018 IEEE Electrical Power and Energy Conference (EPEC)

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This thesis presents a demonstration of Real-Time High-Speed controller hardware-in-the-loop (CHIL) testing for a digital signal processor (DSP) -based controller of a shunt active power filter (APF) for medium voltage (MV) grid power quality improvements. A recently developed Real-Time and high-speed simulator (RT Box) and a DSP are used for the CHIL simulation to validate the control algorithms which are implemented in a commercial low-cost DSP. The filter reference current is extracted based on synchronous reference frame theory. Hysteresis current control is employed to generate PWM switching signals for controlling the APF to inject compensating currents into the grid. The direct current (DC) side capacitor voltage level of the APF is maintained by a PI controller. The results show the APF associated with the implemented controller can mitigate variety power quality problems, such as harmonic elimination, power factor correction, and load balancing. The whole CHIL simulation system work stable with high switching frequency.ii

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Real-time co-simulation platform using OPAL-RT and OPNET for analyzing smart grid performance

Cited by 80 publications

References 4 publications

A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems

A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems

A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

Controller Implementation and Performance Evaluation of a High Power Three-Phase Active Power Filter using Controller Hardware-in-the-Loop Simulation

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