His main research concerns Mathematical optimization, Distributed generation, Electric power system, Field and Control engineering. His work on Genetic algorithm as part of his general Mathematical optimization study is frequently connected to Sizing, thereby bridging the divide between different branches of science. He has included themes like Distribution networks, Smart grid and Minification in his Distributed generation study.
In general Electric power system, his work in Phasor is often linked to Units of measurement linking many areas of study. His Control engineering study combines topics in areas such as Energy efficient transformer and Heuristic. His work in Nonlinear programming addresses issues such as Thermal, which are connected to fields such as Transformer.
His primary areas of investigation include Transformer, Distribution transformer, Mathematical optimization, Reliability engineering and Electric power system. His Transformer study combines topics from a wide range of disciplines, such as Artificial neural network, Electronic engineering and Finite element method. The study incorporates disciplines such as Distributed generation, Nonlinear programming and Transmission in addition to Mathematical optimization.
The various areas that he examines in his Distributed generation study include Control and Minification. His Reliability engineering research integrates issues from Control engineering, Renewable energy and Energy storage. His Electric power system research focuses on subjects like Wind power, which are linked to Wind power forecasting, Production and Stand-alone power system.
Pavlos S. Georgilakis mainly focuses on Distributed generation, Mathematical optimization, Distribution system, Control and Power. His Distributed generation study incorporates themes from Reliability engineering, AC power, Voltage and Distributed computing. His study in Mathematical optimization is interdisciplinary in nature, drawing from both Distribution networks and Nonlinear system.
His research integrates issues of Control engineering and Power flow in his study of Control. Pavlos S. Georgilakis combines subjects such as Probabilistic forecasting, Control reconfiguration, Control theory and Minification with his study of Power. His Transformer research is included under the broader classification of Electrical engineering.
His main research concerns Distributed generation, AC power, Minification, Voltage control and Control theory. His Distributed generation study integrates concerns from other disciplines, such as Stochastic programming and Operations research. His studies in AC power integrate themes in fields like Power factor, Transformer, Mathematical optimization and Voltage regulation.
His Mathematical optimization research includes themes of Control system, Control reconfiguration and Power. As part of the same scientific family, Pavlos S. Georgilakis usually focuses on Voltage control, concentrating on Variable renewable energy and intersecting with Renewable energy, Control engineering and Control. His Control theory research includes elements of Total harmonic distortion, Fast Fourier transform and Electric power system.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Optimal Distributed Generation Placement in Power Distribution Networks: Models, Methods, and Future Research
Pavlos S. Georgilakis;Nikos D. Hatziargyriou.
IEEE Transactions on Power Systems (2013)
Technical challenges associated with the integration of wind power into power systems
Pavlos S. Georgilakis.
Renewable & Sustainable Energy Reviews (2008)
Taxonomy of PMU Placement Methodologies
N. M. Manousakis;G. N. Korres;P. S. Georgilakis.
IEEE Transactions on Power Systems (2012)
A review of power distribution planning in the modern power systems era: Models, methods and future research
Pavlos S. Georgilakis;Nikos D. Hatziargyriou.
Electric Power Systems Research (2015)
Distributed and Decentralized Voltage Control of Smart Distribution Networks: Models, Methods, and Future Research
Kyriaki E. Antoniadou-Plytaria;Iasonas N. Kouveliotis-Lysikatos;Pavlos S. Georgilakis;Nikos D. Hatziargyriou.
IEEE Transactions on Smart Grid (2017)
Transmission Expansion Planning of Systems With Increasing Wind Power Integration
George A. Orfanos;Pavlos S. Georgilakis;Nikos D. Hatziargyriou.
IEEE Transactions on Power Systems (2013)
Review of energy storage allocation in power distribution networks: applications, methods and future research
Matija Zidar;Pavlos S. Georgilakis;Nikos D. Hatziargyriou;Tomislav Capuder.
Iet Generation Transmission & Distribution (2016)
Hybrid Simulated Annealing–Tabu Search Method for Optimal Sizing of Autonomous Power Systems With Renewables
Y. A. Katsigiannis;P. S. Georgilakis;E. S. Karapidakis.
IEEE Transactions on Sustainable Energy (2012)
Multiobjective genetic algorithm solution to the optimum economic and environmental performance problem of small autonomous hybrid power systems with renewables
Y.A. Katsigiannis;P.S. Georgilakis;E.S. Karapidakis.
Iet Renewable Power Generation (2010)
Spotlight on Modern Transformer Design
Pavlos Stylianos Georgilakis.
(2009)
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