Fault Management Architecture Based on a Digital Twin Approach

2021 ◽  
pp. 1-36
Author(s):  
Ladislav Veselý ◽  
Erik Fernandez ◽  
Jayanta Kapat ◽  
Jaffer Ghouse ◽  
Debangsu Bhattacharyya ◽  
...  
Keyword(s):  
Renewable Energy Sources ◽  
Synthetic Data ◽  
Fault Management ◽  
Energy Sources ◽  
Industrial Processing ◽  
Digital Twin ◽  
Management Algorithm ◽  
Electrical Grids ◽  
Management Architecture ◽  
Mission Operation

Abstract Fault management of systems is a key component in mission/operation success of each system or technology. Fault management can be implemented into various different applications, power generation, industrial processing, aviation and transportation, and electrical grids with combinations of renewable energy sources. As the complexity of the overall system design increases, reliance on just pure physics-based or pure data-based modeling is shown to be deficient in the accuracy of fault management. This work shows the potential of a combination of digital twin and a fault management algorithm. The algorithm is designed to be robust, accurate, reliable, and fast; it is based on both, physics and data-based model modeling. The algorithm compares physical and data-based approaches to provide the most reliable fault management solution, through a digital twin. The fault management algorithm is designed to use physics-based model validated on real/synthetic data (data-based model).

scholarly journals Resilience in an Evolving Electrical Grid

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 694
Author(s):  
Phylicia Cicilio ◽  
David Glennon ◽  
Adam Mate ◽  
Arthur Barnes ◽  
Vishvas Chalishazar ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Research Work ◽  
Network Evolution ◽  
Energy Sources ◽  
Physical Analysis ◽  
Self Healing ◽  
Ongoing Research ◽  
Electrical Grid ◽  
Electrical Grids

Fundamental shifts in the structure and generation profile of electrical grids are occurring amidst increased demand for resilience. These two simultaneous trends create the need for new planning and operational practices for modern grids that account for the compounding uncertainties inherent in both resilience assessment and increasing contribution of variable inverter-based renewable energy sources. This work reviews the research work addressing the changing generation profile, state-of-the-art practices to address resilience, and research works at the intersection of these two topics in regards to electrical grids. The contribution of this work is to highlight the ongoing research in power system resilience and integration of variable inverter-based renewable energy sources in electrical grids, and to identify areas of current and further study at this intersection. Areas of research identified at this intersection include cyber-physical analysis of solar, wind, and distributed energy resources, microgrids, network evolution and observability, substation automation and self-healing, and probabilistic planning and operation methods.

scholarly journals Energy Optimization and Management in a Building Using Clean Energy

2021 ◽  
Vol 16 ◽  
pp. 61-66
Author(s):  
Hajji Abdelghani ◽  
Lahlou Yahya ◽  
Abbou Ahmed
Keyword(s):  
Energy Management ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Operating Time ◽  
Clean Energy ◽  
Production Equipment ◽  
Energy Sources ◽  
Management Algorithm ◽  
Energy Needs ◽  
Production And Consumption

To lower the production of greenhouse gases while covering energy needs, it is necessary to exploit renewable energies in the urban environment and manage energy production and consumption as well. In this work, we interested in the study of a house using renewable energy sources such as photovoltaic (PV) panels, thermal panels and wind turbines (WT). The energy consumption happens through electrical charges like the refrigerator, the heat pump, the lighting... The main objective of this work is to change the operating time of secondary loads and to propose an energy management algorithm. Firstly, we will model the consumption of electrical charges and move the operation of secondary charges to moderate the consumed energy. Finally, we suggested an algorithm to manage and optimize energy production and consumption. The results show that the displacement of secondary loads reduces over 8.5% of the energy bill and the suggested algorithm optimizes the operation of the energy production equipment while covering the energy needs of the inhabitants.

Design of a Management Algorithm for Energy Trading in Microgrids

2020 ◽  
Vol 13 (7) ◽  
pp. 1028-1040
Author(s):  
Dimosthenis Verginadis ◽  
Athanasios Karlis
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Power Grids ◽  
Energy Sources ◽  
Future Research ◽  
Energy Trading ◽  
Management Algorithm

Background: The scope of this paper is to study the energy trading in microgrids. Microgrids are low voltage or medium voltage distribution networks, which consist of energy storage systems, electric loads, e.g. electric vehicles and Renewable Energy Sources (RES). Methods: Legacy energy grids are being transformed by the introduction of small to medium sized individual or cooperative, mostly RES invested energy producers and prosumers. Electric vehicles penetrate the market and modern power grids integrate them as ancillary services providers when there are peak domestic loads, as well as in order to balance grid voltage aiming to increase system reliability, compensating for renewable energy sources’ intermittency and volatility in energy production. Results: An elaborate management algorithm is proposed in this paper, to balance demand and local renewable energy sources microgrid supply. Conclusion: Finally, the results of simulations of different scenarios, including economic parameters and proposals for future research are presented.

scholarly journals Real-Time Energy Management for DC Microgrids Using Artificial Intelligence

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5307 ◽  
Author(s):  
Aiman J. Albarakati ◽  
Younes Boujoudar ◽  
Mohamed Azeroual ◽  
Reda Jabeur ◽  
Ayman Aljarbouh ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Energy Management Strategy ◽  
Renewable Sources ◽  
Point Tracking ◽  
Development Framework ◽  
Electrical Grids ◽  
Multi Agent

Microgrids are defined as an interconnection of several renewable energy sources in order to provide the load power demand at any time. Due to the intermittence of renewable energy sources, storage systems are necessary, and they are generally used as a backup system. Indeed, to manage the power flows along the entire microgrid, an energy management strategy (EMS) is necessary. This paper describes a microgrid energy management system, which is composed of solar panels and wind turbines as renewable sources, Li-ion batteries, electrical grids as backup sources, and AC/DC loads. The proposed EMS is based on the maximum extraction of energy from the renewable sources, by making them operate under Maximum Power Point Tracking (MPPT) mode; both of those MPPT algorithms are implemented with a multi-agent system (MAS). In addition, management of the stored energy is performed through the optimal control of battery charging and discharging using artificial neural network controllers (ANNCs). The main objective of this system is to maintain the power balance in the microgrid and to provide a configurable and a flexible control for the different scenarios of all kinds of variations. All the system’s components were modeled in MATLAB/Simulink, the MAS system was developed using Java Agent Development Framework (JADE), and Multi-Agent Control using Simulink with Jade extension (MACSIMJX) was used to insure the communication between Simulink and JADE.

Renewable Energy Sources

IEE Review ◽  
1991 ◽  
Vol 37 (4) ◽  
pp. 152
Author(s):  
Kenneth Spring
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources
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