Co-Simulation of Distributed Smart Grid Software Using Direct-Execution Simulation

Shum, Chong; Lau, Wing Cheong; Mao, Tian; Chung, H.S.H.; Tsang, Kim-Fung; Tse, Norman C. F.; Lai, Loi Lei

doi:10.1109/access.2018.2824341

Cited by 22 publications

(9 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, INSPIRE is limited on simulating the interactions between both Components and Communication Layers in SGAM. Shum et al [12] presented a more complex ad-hoc co-simulation platform based on HLA and JADE, a popular multi-agent platform. The platform integrates OPNET with the commercial electromagnetic transient simulator PSCAD/EMTDC.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Distributed Multimodel Cosimulation Platform to Assess General Purpose Services in Smart Grids

Barbierato

Estebsari

Bottaccioli

et al. 2020

IEEE Trans. on Ind. Applicat.

View full text Add to dashboard Cite

Future smart grids with more distributed generation and flexible demand require well-verified control and management services. This paper presents a distributed multimodel co-simulation platform based on Smart Grid Architecture Model (a.k.a. SGAM) to foster general purpose services in smart grids. It aims at providing developers with support to easily setup a test-bed environment where they can simulate realistic scenarios to assess their algorithms and services. The proposed platform takes advantages of Internet-of-Things communication paradigms and protocols to enable the interoperability among different models and virtual or physical devices that compose a use case. Moreover, the integration of digital real-time simulators unlocks Hardware-In-the-Loop features. To test the functionality of our platform, a novel scheme of fault detection, isolation and restoration is developed, in which communication and interoperability of different functions and devices are crucial. This service is applied on a realistic portion of a power grid in Turin, Italy, where devices communicate over the Internet. Finally, the laboratory experimental results achieved during a real-time co-simulation are discussed.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Compared to [10], [11], [12], GECO [13] exploits a different approach to create a co-simulation environment between PSLF and ns-2. In GECO, co-simulation is achieved through a global event-driven mechanism to manage the co-simulation orchestration instead of HLA technology.…”

Section: Related Workmentioning

confidence: 99%

A Distributed Multimodel Cosimulation Platform to Assess General Purpose Services in Smart Grids

Barbierato

Estebsari

Bottaccioli

et al. 2020

IEEE Trans. on Ind. Applicat.

View full text Add to dashboard Cite

show abstract

“…CORE) and (iii) Open Platform Communication based on FreeOPCUA. A more complex ad hoc approach has been proposed in [22] where JADE, a popular multi-agent platform, has been connected to both PSCAD electromagnetic transient simulator and OPNET.…”

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

View full text Add to dashboard Cite

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.

show abstract

“…The former, as seen in previous literature [13~15], studied computer visualization but did not realize the interface with the system simulation algorithm. There are also many studies on the latter: literature [16] studied a real-time simulation platform of a 400 V-50 KVA digital physics hybrid power system; literature [17] studied a real-time simulation technology for power system design, testing and analysis; literature [18] proposed an integrated modelling and simulation analysis of engineering complex systems; and literature [19] applied the DecompositionJ framework and co-simulation platform to power grid research. These studies only examined system simulation models and did not realize system visualization.…”

Section: Introductionmentioning

confidence: 99%

Graphical Topology Autonomic Identification Method for Human-Machine Interface Modelling Based on Quadratic Space Mapping

Wang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

To realize a computerized autonomous recognition of human-computer interface graphics and autonomously interface an interface graphic model with a simulation analysis program of a systems operation, a human-computer interface topology identification algorithm based on quadratic space mapping (QSM) is proposed, which includes three mapping spaces and two mapping methods. The three mapping spaces are defined as the interface modelling graphics space, the primitive information space and the abstract topology space. The first mapping method uses hierarchical topology mapping based on coordinate properties, and the second uses abstract topology mapping based on breadth first search. The QSM algorithm converts a visual graphical physical model on a human-machine interface into a computerrecognizable abstract model. Then, a simulation analysis of the system is performed automatically by a computer using the converted abstract model. Finally, taking the distribution network system as an example, the proposed topology recognition algorithm realizes the conversion of the interface modelling graph to the abstract model of the distribution network. Furthermore, the simulation of the power flow algorithm is performed by interfacing perfectly with the abstract model, and the feasibility and practicability of the algorithm are verified.

show abstract

Co-Simulation of Distributed Smart Grid Software Using Direct-Execution Simulation

Cited by 22 publications

References 28 publications

A Distributed Multimodel Cosimulation Platform to Assess General Purpose Services in Smart Grids

A Distributed Multimodel Cosimulation Platform to Assess General Purpose Services in Smart Grids

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

Graphical Topology Autonomic Identification Method for Human-Machine Interface Modelling Based on Quadratic Space Mapping

Contact Info

Product

Resources

About