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.
Highlights
Nowadays, we are moving from hierarchical power distribution networks to smart distributed systems, where control policies and Renewable Energy Sources (RES) are pervasively deployed across distribution networks
We propose a novel algorithm for wide area measurement-free monitoring of smart grids under high PV Penetration
Wide area monitoring of modern distribution systems is a crucial application in distribution management systems (DMS) in which Distribution system State Estimator (DSE) plays a very important role
Summary
We are moving from hierarchical power distribution networks to smart distributed systems, where control policies (or services in general) and Renewable Energy Sources (RES) are pervasively deployed across distribution networks. Providing a test and validation tool to evaluate performance and operation of novel smart grid’s use cases based on SGAM; providing modularity, flexibility and scalability to test new use cases in a plug-and-play fashion; allowing an interoperability analysis of all the entities either hardware or software) involved in the simulation scenario; integrating digital real-time simulators to grant even the opportunity of performing hardware in-the-loop simulations; integrating ICT network simulators (i.e., OMNeT++ [9]) to study the impact of new Internet-connected technologies (i.e., Internet-of-Things devices) on the communication networks; integrating third party software (e.g., smart metering architectures [10]) to allow distributed software in-the-loop simulations by exploiting even data collected by real-world Internet-of-Things (IoT).
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