Blockchain for Power Grids

2019 ◽  
Author(s):  
Christian Banks ◽  
Samuel Kim ◽  
Michael Neposchlan ◽  
Nicholas Velez ◽  
K.J. Duncan ◽  
...  
Keyword(s):  
Power Grids

Legal Providing of Application of Energy Effective Lightning Technology and Intellectual Networks in the Conditions of Digital Economy

2019 ◽  
pp. 123-128 ◽  
Author(s):  
Maksim V. Demchenko ◽  
Rostislav O. Ruchkin ◽  
Eugenia P. Simaeva
Keyword(s):  
Public Relations ◽  
New Technologies ◽  
Electric Power Industry ◽  
Legal Regulation ◽  
Power Grids ◽  
Smart Power ◽  
Smart Power Grids ◽  
Russian Economy ◽  
Intellectual Networks ◽  
Efficient Power

The article substantiates the expediency of improving the legal support for the introduction and use of energy-efficient lighting equipment, as well as smart networks (Smart Grid), taking into account the ongoing digitalization of the Russian economy and electric power industry. The goal of scientific research is formulated, which is to develop practical recommendations on optimization of the public relations legal regulation in the digital power engineering sector. The research methodology is represented by the interaction of the legal and sociological aspects of the scientific methods system. The current regulatory and legal basis for the transformation of digital electricity relations has been determined. The need to modernize the system of the new technologies introduction legal regulation for generation, storage, transmission of energy, intelligent networks, including a riskbased management model, is established. A set of standardsetting measures was proposed to transform the legal regulation of public relations in the field of energyefficient lighting equipment with the aim of creating and effectively operating a single digital environment, both at the Federal and regional levels. A priority is set for the development of “smart” power grids and highly efficient power equipment in the constituent entities of the Russian Federation through a set of legal, economic (financial), edu cational measures.

Development of Emergency System of Power Grids with a Significant Renewable Generation

2016 ◽  
Vol 12 (4) ◽  
pp. 22-26
Author(s):  
B.S. Stognii ◽  
◽  
O.V Kyrylenko ◽  
V.V. Pavlovsky ◽  
M.F. Sopel ◽  
...  
Keyword(s):  
Power Grids ◽  
Renewable Generation ◽  
Emergency System

Applications of random graphs

2017 ◽  
Author(s):  
A.C.C. Coolen ◽  
A. Annibale ◽  
E.S. Roberts
Keyword(s):  
Social Networks ◽  
Random Graphs ◽  
Interaction Network ◽  
Power Grids ◽  
Protein Protein Interaction ◽  
Topological Features ◽  
First Case ◽  
The Stability ◽  
Protein Protein Interaction Network

This chapter reviews graph generation techniques in the context of applications. The first case study is power grids, where proposed strategies to prevent blackouts have been tested on tailored random graphs. The second case study is in social networks. Applications of random graphs to social networks are extremely wide ranging – the particular aspect looked at here is modelling the spread of disease on a social network – and how a particular construction based on projecting from a bipartite graph successfully captures some of the clustering observed in real social networks. The third case study is on null models of food webs, discussing the specific constraints relevant to this application, and the topological features which may contribute to the stability of an ecosystem. The final case study is taken from molecular biology, discussing the importance of unbiased graph sampling when considering if motifs are over-represented in a protein–protein interaction network.

scholarly journals Electromechanical Design of Synchronous Power Controller in Grid Integration of Renewable Power Converters to Support Dynamic Stability

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2115
Author(s):  
Mostafa Abdollahi ◽  
Jose Ignacio Candela ◽  
Andres Tarraso ◽  
Mohamed Atef Elsaharty ◽  
Elyas Rakhshani
Keyword(s):  
Dynamic Stability ◽  
Power Plants ◽  
Power Converters ◽  
Power Grids ◽  
Synchronous Generators ◽  
Power Controller ◽  
Renewable Power ◽  
Grid Connection ◽  
Control Technologies ◽  
Control Layer

Nowadays, modern power converters installed in renewable power plants can provide flexible electromechanical characteristics that rely on the developed control technologies such as Synchronous Power Controller (SPC). Since high renewable penetrated power grids result in a low-inertia system, this electromechanical characteristic provides support to the dynamic stability of active power and frequency in the power generation area. This goal can be achieved through the proper tuning of virtual electromechanical parameters that are embedded in the control layers of power converters. In this paper, a novel mathematical pattern and strategy have been proposed to adjust dynamic parameters in Renewable Static Synchronous Generators controlled by SPC (RSSG-SPC). A detailed dynamic modeling was obtained for a feasible design of virtual damping coefficient and virtual moment of inertia in the electrometrical control layer of RSSG-SPC’s power converters. Mathematical solutions, modal analysis outcomes, time-domain simulation results, and real-time validations of the test in IEEE-14B benchmark confirm that the proposed method is an effective procedure for the dynamic design of RSSG-SPC to provide these dynamic stability supports in grid connection.

scholarly journals Guest Editorial Stability and Robustness of Power Grids With High Penetration of Power Electronics

2021 ◽  
Vol 11 (1) ◽  
pp. 1-4
Author(s):  
Meng Huang ◽  
Josep M. Guerrero ◽  
Tyrone Fernando ◽  
Sinan Li ◽  
Chi K. Michael Tse
Keyword(s):  
Power Electronics ◽  
Guest Editorial ◽  
Power Grids ◽  
High Penetration

scholarly journals Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4776
Author(s):  
Seyed Mahdi Miraftabzadeh ◽  
Michela Longo ◽  
Federica Foiadelli ◽  
Marco Pasetti ◽  
Raul Igual
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
Smart Grids ◽  
State Of The Art ◽  
Smart Cities ◽  
Power Grids ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
New Research ◽  
Traditional Approaches

The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.

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