—The increase of wind power share increasing has lead to operational challenges for its integration and impact on power grids. Regarding this, unexpected dynamic phenomena, such as oscillatory events around 13 Hz, among different wind farms were recorded in the United States Oklahoma Gas & Electric. Such interactions differ from traditional inter-area oscillations, and the ability to detect them is the beyond measurement capabilities of most of existing measurement equipment and monitoring tools in energy management systems. This article presents the development and implementation of algorithms for fast sub-synchronous oscillation detection, focusing on the aforementioned case. It proposes a real-time monitoring application that exploits synchronized phasor measurements, allowing real-time detection of sub-synchronous wind farm dynamics. This tool was built as a prototype for real-time application and utilizes phasor measurement unit data for enhanced monitoring and control. The article focuses on the tool’s design and its algorithms. Also, it will briefly present three approaches carried out for testing and validating the phasor measurement unit based application, one of which compares the proposed tool with an existing tool at Oklahoma Gas & Electric. Through such experiments, the tool presented in the article has been positively validated for real-time applications.

This article presents an open data repository, the methodology to generate it and the associated data processing software developed to consolidate an hourly snapshot historical data set for the year 2015 to an equivalent Nordic power grid model (aka Nordic 44), the consolidation was achieved by matching the model׳s physical response w.r.t historical power flow records in the bidding regions of the Nordic grid that are available from the Nordic electricity market agent, Nord Pool. The model is made available in the form of CIM v14, Modelica and PSS/E (Siemens PTI) files. The Nordic 44 model in Modelica and PSS/E were first presented in the paper titled "iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations" (Vanfretti et al., 2016) [1] for a single snapshot. In the digital repository being made available with the submission of this paper (SmarTSLab_Nordic44 Repository at Github, 2016) [2], a total of 8760 snapshots (for the year 2015) that can be used to initialize and execute dynamic simulations using tools compatible with CIM v14, the Modelica language and the proprietary PSS/E tool are provided. The Python scripts to generate the snapshots (processed data) are also available with all the data in the GitHub repository (SmarTSLab_Nordic44 Repository at Github, 2016) [2]. This Nordic 44 equivalent model was also used in iTesla project (iTesla) [3] to carry out simulations within a dynamic security assessment toolset (iTesla, 2016) [4], and has been further enhanced during the ITEA3 OpenCPS project (iTEA3) [5]. The raw, processed data and output models utilized within the iTesla platform (iTesla, 2016) [4] are also available in the repository. The CIM and Modelica snapshots of the "Nordic 44" model for the year 2015 are available in a Zenodo repository.

This paper presents the activities carried out in one of the work packages of the Nordic Energy Research funded project Smart Transmission Grid Operation and Control (STRONg ² rid). The main objective of the work package is to deploy a state-of-the-art software and hardware for developing power system operation, protection, control and automation applications. Several PMUs have been deployed at partner universities and a network of synchrophasors has been set up. In addition the Smart Transmission System Laboratory (SmarTS-Lab) has been established. This laboratory serves as a test-bench to develop and verify smart transmission grid technologies. A software development kit (S ³ DK) was developed within the project. The S ³ DK has been used to implement PMU-based applications and deploy them in different targets, including smart phones and tablets. Several tools and software applications which utilize synchrophasor measurements (from the laboratory or the deployed university PMU network) to perform power system monitoring, sub-synchronous power oscillation detection, etc., have been developed and are presented herein.