scholarly journals The interconnection exchange and complex systems properties in power grid network

2021 ◽  
Vol 336 ◽  
pp. 05020
Author(s):  
Piotr Hadaj ◽  
Marek Nowak ◽  
Dominik Strzałka
Keyword(s):  
Complex Systems ◽  
Complex Networks ◽  
Real Data ◽  
Electrical Energy ◽  
Significant Drop ◽  
Average Efficiency ◽  
Grid Network ◽  
System Operator ◽  
Energy Network

A case study based on the real data obtained from the Polish PSE System Operator of the highest voltages electrical energy network is shown. The data about the interconnection exchange and some complex networks (graphs) parameters were examined, after the removal of selected nodes. This allowed to test selected network parameters and to show that the breakdown of only three nodes in this network can cause significant drop of its average efficiency.

scholarly journals Modelling Selected Parameters of Power Grid Network in the South-Eastern Part of Poland: The Case Study

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 239
Author(s):  
Piotr Hadaj ◽  
Dominik Strzałka
Keyword(s):  
Distribution System ◽  
Fault Tolerant ◽  
Real Data ◽  
Electrical Energy ◽  
Vertex Degree ◽  
Clustering Coefficient ◽  
Network Efficiency ◽  
Graph Diameter ◽  
Graph Parameters

In this paper, a case study is conducted based on the real data obtained from the local Distribution System Operator (DSO) of electrical energy. The analyzed network represents connections and high-voltage switchgears of 110 kV. Selected graph parameters—vertex degree distribution, the average vertex degree, the graph density, network efficiency, the clustering coefficient, the average path length, and the graph diameter were examined, taking into account that in the analysis, some nodes were removed due to the different failures. For each failure, the possible effects on network parameters were tested. As a final result, it was shown that in the analyzed case, the removal of only five nodes could cause a significant (almost four times) fall of graph efficiency. In turn, this means that the whole analyzed network cannot be considered as a fault-tolerant.

A Review on Smart Grid Internet of Things

2020 ◽  
Vol 17 (6) ◽  
pp. 2770-2775
Author(s):  
Andino Maseleno ◽  
Wahidah Hashim ◽  
Y. C. Tang Alicia ◽  
A. Mahmoud Moamin ◽  
Marini Othman
Keyword(s):  
Smart Grid ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Power Grids ◽  
Electrical Network ◽  
Process Data ◽  
Grid Network ◽  
Present Information ◽  
Smart Grid Network ◽  
Energy Network

Smart electrical network or better known as Smart Grid is one form of transformation and technological reform in the electricity industry. Smart Grid is a modern electrical energy network that intelligently integrates power grids with communications devices that support electricity generation and distribution networks to be more attractive, communicative and qualified. Smart Grid is also able to prevent and to isolate the interference quickly and present information on electrical data in real time. While the Internet of Thing (IoT) is a method that aims to maximize the benefits of internet connectivity to transfer and to process data or information through an internet network wirelessly, virtual and autonomous. IoT technically can be encouraged in developing smart grid network by integrating main power system infrastructure from generating side to end consumer through wireless sensor network automatically. With the utilization of IoT is expected to improve the reliability of information systems from the power grid as well as improve the efficiency of existing electrical infrastructure. This paper will present the concept of smart grid technology, IoT and discuss the IoT design and application model in smart grid network.

Networks

2018 ◽  
Author(s):  
Stefan Thurner ◽  
Rudolf Hanel ◽  
Peter Klimekl
Keyword(s):  
Complex Systems ◽  
Complex Networks ◽  
Phase Diagrams ◽  
Community Detection ◽  
Network Science ◽  
Small World ◽  
Small World Networks ◽  
Multilayer Networks ◽  
Basic Vocabulary

Understanding the interactions between the components of a system is key to understanding it. In complex systems, interactions are usually not uniform, not isotropic and not homogeneous: each interaction can be specific between elements.Networks are a tool for keeping track of who is interacting with whom, at what strength, when, and in what way. Networks are essential for understanding of the co-evolution and phase diagrams of complex systems. Here we provide a self-contained introduction to the field of network science. We introduce ways of representing and handle networks mathematically and introduce the basic vocabulary and definitions. The notions of random- and complex networks are reviewed as well as the notions of small world networks, simple preferentially grown networks, community detection, and generalized multilayer networks.

scholarly journals Investigation of Nanogrids for Improved Navy Installation Energy Resilience

2021 ◽  
Vol 11 (9) ◽  
pp. 4298
Author(s):  
Alissa Kain ◽  
Douglas L. Van Bossuyt ◽  
Anthony Pollman
Keyword(s):  
National Security ◽  
Natural Disasters ◽  
Systems Engineering ◽  
Critical Loads ◽  
Electrical Energy ◽  
Terrorist Attacks ◽  
Military Bases ◽  
Specific Interest ◽  
The Military

Military bases perform important national security missions. In order to perform these missions, specific electrical energy loads must have continuous, uninterrupted power even during terrorist attacks, adversary action, natural disasters, and other threats of specific interest to the military. While many global military bases have established microgrids that can maintain base operations and power critical loads during grid disconnect events where outside power is unavailable, many potential threats can cause microgrids to fail and shed critical loads. Nanogrids are of specific interest because they have the potential to protect individual critical loads in the event of microgrid failure. We present a systems engineering methodology that analyzes potential nanogrid configurations to understand which configurations may improve energy resilience and by how much for critical loads from a national security perspective. This then allows targeted deployment of nanogrids within existing microgrid infrastructures. A case study of a small military base with an existing microgrid is presented to demonstrate the potential of the methodology to help base energy managers understand which options are preferable and justify implementing nanogrids to improve energy resilience.

scholarly journals Towards DC Energy Efficient Homes

2021 ◽  
Vol 11 (13) ◽  
pp. 6005
Author(s):  
Daniel Villanueva ◽  
Moisés Cordeiro-Costas ◽  
Andrés E. Feijóo-Lorenzo ◽  
Antonio Fernández-Otero ◽  
Edelmiro Miguez-García
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicles ◽  
Energy Efficient ◽  
Electricity Consumption ◽  
Real Data ◽  
Mean Values ◽  
Led Lighting ◽  
Shed Light

The aim of this paper is to shed light on the question regarding whether the integration of an electric battery as a part of a domestic installation may increase its energy efficiency in comparison with a conventional case. When a battery is included in such an installation, two types of electrical conversion must be considered, i.e., AC/DC and DC/AC, and hence the corresponding losses due to these converters must not be forgotten when performing the analysis. The efficiency of the whole system can be increased if one of the mentioned converters is avoided or simply when its dimensioning is reduced. Possible ways to achieve this goal can be: to use electric vehicles as DC suppliers, the use of as many DC home devices as possible, and LED lighting or charging devices based on renewables. With all this in mind, several scenarios are proposed here in order to have a look at all possibilities concerning AC and DC powering. With the aim of checking these scenarios using real data, a case study is analyzed by operating with electricity consumption mean values.

A Microgrid Concept for Thermal and Electrical Energy Supply of a Sport Recreation Center: Case Study S.R.C.A

2020 ◽  
pp. 1-13
Author(s):  
Fatima Mašić ◽  
Ajla Merzić ◽  
Adnan Bosović ◽  
Mustafa Musić
Keyword(s):  
Energy Supply ◽  
Electrical Energy

scholarly journals New Inequalities between Information Measures of Network Information Content

2013 ◽  
Vol 2013 ◽  
pp. 1-3 ◽  
Author(s):  
Pantelimon-George Popescu ◽  
Florin Pop ◽  
Alexandru Herişanu ◽  
Nicolae Ţăpuş
Keyword(s):  
Information Processing ◽  
Complex Systems ◽  
Complex Networks ◽  
Information Content ◽  
Discrete Case ◽  
Network Information ◽  
Information Inequalities ◽  
Information Measures ◽  
New Inequalities

We refine a classical logarithmic inequality using a discrete case of Bernoulli inequality, and then we refine furthermore two information inequalities between information measures for graphs, based on information functionals, presented by Dehmer and Mowshowitz in (2010) as Theorems 4.7 and 4.8. The inequalities refer to entropy-based measures of network information content and have a great impact for information processing in complex networks (a subarea of research in modeling of complex systems).

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