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An Adaptive Data-driven Method Based on Fuzzy Logic for Determining Power System Voltage Status

Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 707-718页

作者： Sirwan Shazdeh Hêmin Golpîra Hassan Bevrani the SMGRC University of KurdistanSanandajIran Power Systems Modeling&Simulation Lab Department of Electrical EngineeringUniversity of KurdistanKurdistanSanandaj 66177-15175Iran

This paper proposes an adaptive method based on fuzzy logic that utilizes data from phasor measurement units(PMUs) to assess and classify generating-side voltage trajectories. The voltage variable and its associated derivatives are used as the input variables of a fuzzy-logic block. In addition, the voltage trajectory is compared with the pre-selected pilot-bus voltage to make a reliable decision about the voltage operational state. Different types of short-term voltage dynamics are considered in the proposed method. The fuzzy membership functions are determined using a systematic method that considers the current situation of the voltage trajectory. Finally, the voltage status is categorized into four classes to determine appropriate remedial actions. The proposed method is validated on a IEEE 73-bus power system in a MATLAB environment.

关键词： Fuzzy logic fault-induced delayed voltage recovery phasor measurement unit(PMU) short-term voltage stability situational awareness voltage classification

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Words apart:Standardizing forestry terms and definitions across European biodiversity studies

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森林生态系统:英文版 2023年第4期10卷 459-471页

作者： Giovanni Trentanovi Thomas Campagnaro Tommaso Sitzia Francesco Chianucci Giorgio Vacchiano Christian Ammer MichałCiach Thomas ANagel Miren del Río Yoan Paillet Silvana Munzi Kris Vandekerkhove Andrés Bravo-Oviedo Andrea Cutini Ettore D'Andrea Pallieter De Smedt Inken Doerfler Dimitris Fotakis Jacob Heilmann-Clausen Jeňýk Hofmeister Jan Hošek Philippe Janssen Sebastian Kepfer-Rojas Nathalie Korboulewsky Bence Kovács Daniel Kozák Thibault Lachat Anders Mårell radim Matula Martin Mikoláš Björn Nordén PéterÓdor x Marko Perović Elisabeth Pötzelsberger Peter Schall Miroslav Svoboda Flóra Tinya Mariana Ujházyová Sabina Burrascano Research Institute on Terrestrial Ecosystems-National Research Council(IRET-CNR) Via Madonna Del Piano 1950019Sesto FiorentinoFIItaly Department of Land EnvironmentAgriculture and ForestryUniversitàdegli Studi di PadovaViale Dell’Università1635020LegnaroPDItaly National Biodiversity Future Center Piazza Marina 6190133PalermoItaly CREA Research Centre for Forestry and Wood Viale S.Margherita 8052100ArezzoItaly Department of Agricultural and Environmental Sciences(DISAA) University of MilanVia Celoria 220133MilanItaly Silviculture and Forest Ecology of the Temperate Zones University of GöttingenGermany Department of Forest Biodiversity Faculty of ForestryUniversity of Agricultureal.29 Listopada 4631-425KrakówPoland Department of Forestry and Renewable Forest Resources Biotechnical FacultyUniversity of LjubljanaVecna pot 831000LjubljanaSlovenia Instituto de Ciencias Forestales(ICIFOR-INIA) CSICCtra.de la Coruña Km 7.528040MadridSpain University Grenoble Alpes LessemINRAE2 Rue de la Papeterie38402 Saint-Martin-d'HèresFrance Centro Interuniversitário de História Das Ciências e da Tecnologia Faculdade de CiênciasUniversidade de LisboaPortugal Centre for Ecology Evolution and Environmental ChangesFaculdade de Ciências&CHANGE-Global Change and Sustainability InstituteUniversidade de LisboaPortugal Research Institute for Nature and Forest(INBO) Havenlaan 88 Bus 731000BrusselBelgium Department of Biogeography and Global Change National Museum of Natural Sciences-CSICC/Serrano 115bis28006MadridSpain Research Institute on Terrestrial Ecosystems-National Research Council(IRET-CNR) Via G.Marconi N.205010PoranoTRItaly Forest&Nature Lab Department of EnvironmentGhent UniversityGeraardsbergsesteenweg 2679090GontrodeBelgium Institute of Biology and Environmental Science Vegetation Science&Nature ConservationUniversity of OldenburgAmmerländer Heerstraße 114-11826129OldenburgGermany Forest Research Institute Hellenic Agricultural Organization DimitraVassilikaThessal

Forest biodiversity studies conducted across Europe use a multitude of forestry terms,often *** hinders the comparability across studies and makes the assessment of the impacts of forest management on biodiversity highly *** attempts to standardize forestry and stand description terminology mostly used a top-down approach that did not account for the perspectives and approaches of forest biodiversity *** work aims to establish common standards for silvicultural and vegetation definitions,creating a shared conceptual framework for a consistent study on the effects of forest management on *** have identified both strengths and weaknesses of the silvicultural and vegetation information provided in forest biodiversity *** quantitative data on forest biomass and dominant tree species are frequently included,information on silvicultural activities and vegetation composition is often lacking,shallow,or based on broad and heterogeneous *** discuss the existing classifications and their use in European forest biodiversity studies through a novel bottom-up and top-driven review process,and ultimately propose a common *** will enhance the comparability of forest biodiversity studies in Europe,and puts the basis for effective implementation and monitoring of sustainable forest management *** standards here proposed are potentially adaptable and applicable to other geographical areas and could be extended to other forest interventions.

关键词： Forest management Multi-taxon Terminology Silviculture Data harmonization

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