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

Abouzar Estebsari, Luca Barbierato, Alireza Bahmanyar, Lorenzo Bottaccioli, Enrico Macii and Edoardo Patti
Additional contact information
Abouzar Estebsari: Department of Energy, Politecnico di Torino, 10129 Torino, Italy
Luca Barbierato: Energy Center Lab, Politecnico di Torino, 10129 Torino, Italy
Alireza Bahmanyar: Department of Electrical Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
Lorenzo Bottaccioli: Energy Center Lab, Politecnico di Torino, 10129 Torino, Italy
Enrico Macii: Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10129 Torino, Italy
Edoardo Patti: Energy Center Lab, Politecnico di Torino, 10129 Torino, Italy

Energies, 2019, vol. 12, issue 8, 1-27

Abstract: 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.

Keywords: smart grid architecture model; state estimation; wide area monitoring; distribution systems; real time simulation; PV penetration (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/8/1417/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/8/1417/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:8:p:1417-:d:222347

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().