High power laboratory testing with a real-time computer; a new generation of testing methods

1976 ◽  
Vol 95 (3) ◽  
pp. 982-987
Author(s):  
D. Vallo ◽  
M.E. Thuot
Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3267 ◽  
Author(s):  
Juan Montoya ◽  
Ron Brandl ◽  
Keerthi Vishwanath ◽  
Jay Johnson ◽  
Rachid Darbali-Zamora ◽  
...  

The integration of smart grid technologies in interconnected power system networks presents multiple challenges for the power industry and the scientific community. To address these challenges, researchers are creating new methods for the validation of: control, interoperability, reliability of Internet of Things systems, distributed energy resources, modern power equipment for applications covering power system stability, operation, control, and cybersecurity. Novel methods for laboratory testing of electrical power systems incorporate novel simulation techniques spanning real-time simulation, Power Hardware-in-the-Loop, Controller Hardware-in-the-Loop, Power System-in-the-Loop, and co-simulation technologies. These methods directly support the acceleration of electrical systems and power electronics component research by validating technological solutions in high-fidelity environments. In this paper, members of the Survey of Smart Grid International Research Facility Network task on Advanced Laboratory Testing Methods present a review of methods, test procedures, studies, and experiences employing advanced laboratory techniques for validation of range of research and development prototypes and novel power system solutions.


2021 ◽  
Author(s):  
Christopher White ◽  
Joanne Robbins ◽  
Daniela Domeisen ◽  
Andrew Robertson

<p>Subseasonal-to-seasonal (S2S) forecasts are bridging the gap between weather forecasts and long-range predictions. Decisions in various sectors are made in this forecast timescale, therefore there is a strong demand for this new generation of predictions. While much of the focus in recent years has been on improving forecast skill, if S2S predictions are to be used effectively, it is important that along with scientific advances, we also learn how best to develop, communicate and apply these forecasts.</p><p>In this paper, we present recent progress in the applications of S2S forecasts, and provide an overview of ongoing and emerging activities and initiatives from across the wider weather and climate applications and user communities, as follows:</p><ul><li>To support an increased focus on applications, an additional science sub-project focused on S2S applications has been launched on the World Meteorological Organization WWRP-WCRP S2S Prediction Project: http://s2sprediction.net/. This sub-project will provide a focal point for research focused towards S2S applications by exploring the value of applications-relevant S2S forecasts and highlighting the opportunities and challenges facing their uptake.</li> <li>Also supported by the S2S Prediction Project, the ongoing Real-Time Pilot initiative http://s2sprediction.net/file/documents_reports/16Projects.pdf is making S2S forecasts available to 15 selected projects that are addressing user needs over a two year period (November 2019 through to November 2021). By making this real-time data available, the initiative is drawing on the collective experiences of the researcher and user communities from across the projects. The Real-Time Pilot will develop best practice guidelines for producing useful and useable, application-orientated forecasts and tools that can be used to guide future S2S application development. We will present an update on the initiative, including results from an initial set of questionnaires that focussed on engagement strategies and practices, supporting a review of how projects were designs, the roles and responsibilities of different project participants and the methods used to determine project success.</li> <li>To increase the uptake and use of S2S forecasts more widely across the research and user communities, we present a new initiative: a global network of researchers, modellers and practitioners focused on S2S applications, called S2Sapp.net – a community with a shared aim of exploring and promoting cross-sectoral services and applications of this new generation of predictions.</li> <li>Finally, we will provide an update on a recently-submitted applications community review paper, covering sectoral applications of S2S predictions, including public health, disaster preparedness, water management, energy and agriculture. Drawing from the experience of researchers and users working with S2S forecasts, we explore the value of applications-relevant S2S predictions through a series of sectoral cases where uptake is starting to occur.</li> </ul>


2011 ◽  
pp. 279-291
Author(s):  
S.R. Balasundaram ◽  
B. Ramadoss

The rapidly changing nature of business environments requires organizations to be more flexible to gain competitive advantages. Organizations are turning into a new generation of software called Enterprise Application Integration (EAI) to fully integrate business processes. It is an activity that integrates and harmonizes an enterprise’s isolated business applications, processes and functions involving real time data. Developing quality EAI projects is quite a big challenge. Even though success of EAI projects depends on so many parameters, ‘testing’ is the most significant phase that can ensure the quality as well as the success of EAI projects. Components integrated without testing in EAI systems may affect the enterprise system as a whole. This chapter focuses on the testing aspects related to EAI applications. Especially the significance of testing for various types of “Integrations” is discussed in detail.


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