Abstract
In this paper, we present a novel distributed software infrastructure to foster new services in smart grids with particular emphasis on supporting self-healing distribution systems. This infrastructure exploits the rising Internet-of-Things paradigms to build and manage an interoperable peer-to-peer network of our prototype smart meters, also presented in this paper. The proposed three-phase smart meter, called 3-SMA, is a low cost and open-source Internet-connected device that provides features for self-configuration. In addition, it selectively run on-board-algorithms for smart grid management depending on its deployment on the distribution network. Finally, we present the experimental results of Hardware-In-the-Loop simulations we performed.
Highlights
Transition from conventional systems with traditional outage management to smart self-healing grids with advanced Outage Management Systems (OMS) is being widely encouraged
For an accurate phasor conversion calculated by Discrete Fourier Transform (DFT), the minimum number of samples required is 32 samples per one cycle before fault occurrence and 32 samples per one cycle after fault occurrence and before protection
We introduced a software infrastructure to foster novel services for advanced outage management in smart grids
Summary
Transition from conventional systems with traditional outage management to smart self-healing grids with advanced Outage Management Systems (OMS) is being widely encouraged. It implements the IoT paradigms to bidirectionally communicate with other actors in the system It selectively run different on-board-algorithms for smart grid management (e.g. Fault Location and Outage Detection for advanced OMS) according to its deployment along the distribution network and according to configuration settings retrieved remotely via the software platform. We designed both 3-SMA and the software platform to be compatible with other Advanced Metering Infrastructure, such as [6] Since this solution is flexible in adding, updating and removing algorithms, its future application scenarios for grid management are different, spanning from state estimation, integration of renewable energy sources and electric vehicles, as depicted in [11].
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