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Powering knowledge transfer at INCESA – BRIDGE projects
Denisa Rusinaru; Leonardo-Geo Manescu; Marian Ciontu; Paul-Mihai Mircea; Gabriel-Cosmin Buzatu; Gabriel Stoian; Claudiu Popirlan; Titela Vilceanu; Andrei Negoita; Miron Alba
2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP), 2017, Pages: 190 – 195, IEEE Conference Publications, http://ieeexplore.ieee.org/document/7974969/

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The movement of know-how or technical knowledge from one organization to another known as knowledge transfer in literature is considered to be one of the most important components of the strategic plan of a research institute. Despite the fact that INCESA (Research Hub of Applied Sciences, University of Craiova) is a young organization, it already counts an important number of collaborations with the local and regional business environment. Consequently, it is developing a management strategy that approaches the knowledge transfer (KT) to the industry as a recurrent event. The paper presents an overview of the KT to the industry as secured by INCESA. Two of the INCESA’s KT-type projects financed by national grants and based on a partnership with the power distribution industry are the object of our analysis. The findings are used to refine the taxonomy of the KT channels in relation to INCESA’s projects, and to feature a successful framework of the knowledge management at the micro level of the project, as well as at the meso-institutional level.

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The management and analysis of power quality in power distribution grids by using PQView software system
RUSINARU. D., MANESCU L.G., CIONTU M., BUZATU G.C., NEGOITA A., ALBA M., COJOACA A., GHERLAN I.R.
CIE 2017 “ENERGIE CURATĂ ŞI ACCESIBILĂ”, Oradea, http://www.energy-cie.ro/archives/program_cie_2017.pdf
JOURNAL OF SUSTAINABLE ENERGY vol. 8, no. 4, December, 2017 (ISSN 2284-699), pp.133-138
University of Oradea (in curs de apariție no 4, 2017)

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Nowadays the power quality is considered one of the most important aspect regarding the performance of a power grid operator, concerning equally all the consumers categories, too. Since a low level of the power quality has negative consequences on the technical-economic indices of the power networks’operation, there are perfectly justified the permanent efforts of the power grids operators in finding the best methods and tools able to assist them in managing and analyzing a huge volume of power quality data. The paper presents the capabilities of an intelligent system for the management and analysis of power quality data, PQView. This system is used by power grid operators in their operational activity, as well as within Smart Grid Laboratory of University of Craiova’s INCESA for research and testing purposes. This software system was used for an extensive power quality analysis of real operation a PV power plant interconnected to MV power distribution grid.

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Complex Software System for Data Management and Analysis of Power Distribution Grids
Leonardo Geo Manescu, Denisa Rusinaru, Claudiu Popirlan, Gabriel Stoian, Marian Ciontu, Gabriel Cosmin Buzatu, Miron Alba
4th Int.Conf. on Mathematics and Computers in Sciences and Industry, MCSI 2017, Corfu Island, Greece, 24-26 August 2017, IEEExplore 2018 10.1109/MCSI.2017.18, pp. 51-56, http://www.mcsi-conf.org/Program.pdf

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The power companies are highly interested in reducing of power quality problems and reactive power flows (some of them additional to PQ disturbances) and their related costs, finding the optimized solutions. The paper describes a complex software instrument, which was conceived to provide support in the field of monitoring and analysis of the power grids. This customized tool is allowing to use and extend the capabilities of the commercial software packages and to develop a complex analysis of the power grid based on its typical operation regimes, as well as on the real historical evolution of its electric values. The management and the solver modules enable the system configuring, as well as report generation and data visualization for a heterogeneous large volume of input data.
Web-based Application for Mapping of the Power Quality Level in the Power Distribution Grids
Denisa Rusinaru, Leonardo Geo Manescu, Marian Ciontu, Adrian Cojoaca, and Miron Alba
1st Mathematics and Computers in Science and Engineering, MACISE 2017, London, UK, October 27-29, 2017
International Journal of Energy and Environment, vol 11, 2017, http://www.naun.org/main/NAUN/energyenvironment/2017/a202011-039.pdf

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Web-based Application for Mapping of the Power Quality Level in the Power Distribution Grids
Denisa Rusinaru, Leonardo Geo Manescu, Marian Ciontu, Adrian Cojoaca, and Miron Alba
1st Mathematics and Computers in Science and Engineering, MACISE 2017, London, UK, October 27-29, 2017
International Journal of Energy and Environment, vol 11, 2017, http://www.naun.org/main/NAUN/energyenvironment/2017/a202011-039.pdf

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Poor power quality has negative consequences on the performances of the power networks’ operation. Therefore the efforts of the power grids operators are perfectly justified for finding the best tools for managing and analysis of the power quality (named here PQ). This paper has focused on PQ investigation based on a new type of information report. According to this, the disturbances are reported by using the ranking of PQ levels based on normalized parameters. The paper presents the capabilities of a web-based application designed for mapping of the normalized PQ parameters, as an additional function of the integrate complex system for the management and analysis of PQ data presently operating in the local power distribution grids. This application is developed within a collaboration between the local power grid operator and the power engineering research unit of University of Craiova.

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Research Laboratory for Monitoring and Analysis of Power Quality in Power Distribution Grids
D. RUSINARU, L.G. MANESCU, G.C. BUZATU, M. CIONTU I.R. GHERLAN, M.I. SIMINICA,
A.I.COJOACA
International Journal of Power Systems, vol. 2, IARAS Publ. 2017, (ISSN: 2367-8976), pp. 47-52
4th International Conference on Power and Energy Systems (POES’17), 15-17 December 2017, Rome, Italy

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INCESA, the University of Craiova’s project financed through European grants, has already initiated large projects on topics such as smart grids, energy storage, transmission and distribution system, renewable energy. The research projects on these topics are conducted specifically in the framework of the INCESA’s Smart Grids Research Laboratory (SGRL). The aim of this paper is to introduce the infrastructure of SGRL and the operational characteristics and monitoring facilities of its units. The results of a study case are also presented in order to demonstrate the capabilities of the hardware and software laboratory infrastructure suitable for comprehensive power quality assessments personalized for industry applications (power distribution grids facilities).

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