scholarly journals Fog Computing Model to Orchestrate the Consumption and Production of Energy in Microgrids

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2642 ◽  
Author(s):  
Eric Bernardes C. Barros ◽  
Dionísio Machado L. Filho ◽  
Bruno Guazzelli Batista ◽  
Bruno Tardiole Kuehne ◽  
Maycon Leone M. Peixoto
Keyword(s):  
Response Time ◽  
Energy Demand ◽  
Power Grid ◽  
Fog Computing ◽  
High Volume ◽  
Local Source ◽  
Power Demand ◽  
Small Power ◽  
Control Power ◽  
Electrical Grids

Energy advancement and innovation have generated several challenges for large modernized cities, such as the increase in energy demand, causing the appearance of the small power grid with a local source of supply, called the Microgrid. A Microgrid operates either connected to the national centralized power grid or singly, as a power island mode. Microgrids address these challenges using sensing technologies and Fog-Cloudcomputing infrastructures for building smart electrical grids. A smart Microgrid can be used to minimize the power demand problem, but this solution needs to be implemented correctly so as not to increase the amount of data being generated. Thus, this paper proposes the use of Fog computing to help control power demand and manage power production by eliminating the high volume of data being passed to the Cloud and decreasing the requests’ response time. The GridLab-d simulator was used to create a Microgrid, where it is possible to exchange information between consumers and generators. Thus, to understand the potential of the Fog in this scenario, a performance evaluation is performed to verify how factors such as residence number, optimization algorithms, appliance shifting, and energy sources may influence the response time and resource usage.

scholarly journals A Hierarchical Game Theory Based Demand Optimization Method for Grid-Interaction of Energy Flexible Buildings

2021 ◽  
Vol 9 ◽  
Author(s):  
Jinyi Xu ◽  
Chengchu Yan ◽  
Yizhe Xu ◽  
Jingfeng Shi ◽  
Kai Sheng ◽  
...  
Keyword(s):  
Game Theory ◽  
Smart Grids ◽  
Energy Demand ◽  
Power Grid ◽  
Management Strategies ◽  
Interaction Model ◽  
Optimization Method ◽  
Equilibrium Solutions ◽  
Electrical Grids ◽  
Nash Equilibrium Solutions

Building demand-side management is an effective solution for relieving the peak and imbalance problems of electrical grids. How to explore the energy flexibility of buildings and to coordinate a variety of buildings with different energy flexibilities for effective interactions with smart grids are a great challenge. This paper proposes a game theory–based hierarchical demand optimization method for energy flexible buildings for achieving better grid interactions. This method consists of two optimization strategies at the grid and building levels. At the grid level, a demand-price interaction model for buildings and the grid is established to identify the Nash equilibrium solutions based on game theory; these solutions are used to determine the optimized energy demand of buildings and the associated electricity prices by accommodating the interests of all participants involved. At the building level, three types of buildings with different energy flexibilities are investigated to analyze the influence of building management strategies on grid interactions. The effectiveness of the proposed method is verified in a simulated case study. The results show that the optimization method can reduce building operational cost by 3–18%, reduce the fluctuation of the power grid by 30–50%, and ensure that the power grid increases income by 8–20%.

Thermoeconomic Model for the Energy Optimization of Industrial Air Compressed Supply Network Under Transient Condition

2012 ◽  
Author(s):  
Lesme Corredor M. ◽  
Diego Guillen ◽  
José Prada ◽  
Alisson Contreras
Keyword(s):  
Energy Demand ◽  
Energy Optimization ◽  
Industrial Plant ◽  
Transient Condition ◽  
Power Demand ◽  
Flow Monitoring ◽  
Air Supply ◽  
Air Compressors ◽  
Air Compression ◽  
Selection Of

Air compression represents around 20% of industrial total electric power demand, especially in chemicals and process companies. Few technical studies related with energy optimization of air compressed networks are reported in the specialized literature, in contrast, in natural gas and steam networks have been widely analyzed. Pressure, temperature and flow monitoring of air compression is not enough for implementation of energy optimization models, for this reason authors have developed a transit conditions model which takes into account air supply equipments and air compressed process requirements. This paper presents a decision support system for the scheduling selection of a set of air compressors in an industrial plant based on energy demand minimization. Several constraints must be taken in consideration during the optimization process, this can be desegregate in two types, the first set of constrains was used for simulate the operation of scroll, screw and centrifuges compressors, the second based in graph an node theory and contain the mathematical transit conditions model of supply air network topology, for the complexity of the problem the use of a genetic algorithm to search an optimal combination was necessary.

scholarly journals Impacts of Distributed Generation in Electrical Grids

2020 ◽  
Author(s):  
Maria Cecilia C. Lima ◽  
Handerson Marques ◽  
Thommas Kevin Sales Flores ◽  
Fabiano Salvadori ◽  
Lucas V. Hartmann ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Power Factor ◽  
Power Grid ◽  
Energy Sources ◽  
Impedance Matrix ◽  
Electrical Grid ◽  
Preliminary Results ◽  
Electrical Grids ◽  
Common Coupling ◽  
The Impact

Unconventional energy sources such as wind, solar and biomass represents more and more an alternative in substitution of conventional energy sources. In effect, many studies still need to be done to clearly identify the impacts that the insertion of distributed generation (DG) sources represent in the power grid. In this paper, an analysis of the impact of the distributed generation (DG) insertion in the electrical grid is realized, based on impedance matrix, grid voltage and power factor (PF). Benchmarks were created to relate the sensibility in a point common coupling (PCC) to the DG insertion. Preliminary results show that sensibility does not change with the load or the PF of the DG.

PrEstoCloud

2021 ◽  
Vol 34 (1) ◽  
pp. 66-85
Author(s):  
Yiannis Verginadis ◽  
Dimitris Apostolou ◽  
Salman Taherizadeh ◽  
Ioannis Ledakis ◽  
Gregoris Mentzas ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Software Engineering ◽  
Response Time ◽  
Fog Computing ◽  
Data Sources ◽  
Data Intensive ◽  
Service Response Time ◽  
Enabling Services ◽  
Data Intensive Applications ◽  
Multi Cloud

Fog computing extends multi-cloud computing by enabling services or application functions to be hosted close to their data sources. To take advantage of the capabilities of fog computing, serverless and the function-as-a-service (FaaS) software engineering paradigms allow for the flexible deployment of applications on multi-cloud, fog, and edge resources. This article reviews prominent fog computing frameworks and discusses some of the challenges and requirements of FaaS-enabled applications. Moreover, it proposes a novel framework able to dynamically manage multi-cloud, fog, and edge resources and to deploy data-intensive applications developed using the FaaS paradigm. The proposed framework leverages the FaaS paradigm in a way that improves the average service response time of data-intensive applications by a factor of three regardless of the underlying multi-cloud, fog, and edge resource infrastructure.

DSM for Energy Optimization and Communications Within Smart Grid CPSs

2022 ◽  
pp. 506-528
Author(s):  
Sa'ed Abed ◽  
Areej Abdelaal ◽  
Amjad Gawanmeh
Keyword(s):  
Developing Countries ◽  
Smart Grid ◽  
Energy Demand ◽  
New Technologies ◽  
Power Grid ◽  
Energy Optimization ◽  
Cyber Physical Systems ◽  
Optimization Techniques ◽  
Grid System ◽  
Potential Solution

Energy demand has increased significantly in the recent years due to the emerging of new technologies and industries, in particular in the developing countries. This increase requires much more developed power grid system than the existing traditional ones. Smart grid (SG) offers a potential solution to this problem. Being one of the most needed and complex cyber-physical systems (CPS), SG has been addressed exhaustively by researchers, from different views and aspects. However, energy optimization yet needs much more studying and examination. Therefore, this chapter presents a comprehensive investigation and analysis of the state-of-the-art developments in SG as a CPS with emphasis on energy optimization techniques and challenges. It also surveys the main challenges facing the SG considering CPS factors and the remarkable accomplishments and techniques in addressing these challenges. In addition, the document contrasts between different techniques according to their efficiency, usage, and feasibility. Moreover, this work explores the most effective applications of the SG as a CPS.

Machine learning-based thermal response time ahead energy demand prediction for building heating systems

2018 ◽  
Vol 221 ◽  
pp. 16-27 ◽  
Author(s):  
Yabin Guo ◽  
Jiangyu Wang ◽  
Huanxin Chen ◽  
Guannan Li ◽  
Jiangyan Liu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Response Time ◽  
Energy Demand ◽  
Thermal Response ◽  
Heating Systems ◽  
Demand Prediction ◽  
Thermal Response Time ◽  
Energy Demand Prediction

Possibility of Four-Phase Grids Application in Russian Power System

2015 ◽  
Vol 799-800 ◽  
pp. 1206-1210
Author(s):  
Dmitry I. Bliznyuk ◽  
Alexandra I. Khalyasmaa
Keyword(s):  
Economic Analysis ◽  
Power System ◽  
Simulation Model ◽  
Russian Federation ◽  
High Voltage ◽  
Power Grid ◽  
Operation And Maintenance ◽  
Electrical Grids ◽  
United Power System ◽  
Extra High Voltage

This paper is devoted to four-phase electrical grids of high and extra-high voltage, principles of its formation and its possible operation and maintenance in united power system of Russia. Development of new simulation model of four-phase power grid for further realization in software is under consideration. Special attention is given to compliance with present both technical and economical requirements of this model in Russian Federation. Economic analysis of four-phase power system applying is done by means of comparison of different kinds of transmission Ural – Siberia.

scholarly journals Load Balancing of Fog Computing Centers: Minimizing Response Time of High Priority Requests

2019 ◽  
Vol 8 (11) ◽  
pp. 2713-2716
Keyword(s):  
Internet Of Things ◽  
Load Balancing ◽  
Response Time ◽  
Fog Computing ◽  
The Internet ◽  
Computing Technology ◽  
Computing Center ◽  
Computing Centers ◽  
The Internet Of Things ◽  
High Priority Request

Fog computing is one of the enabling computing technology which primarily aims to fulfill the requirements of the Internet of Things (IoT). IoT is fast-growing networking and computing sector. The scalability of users, devices, and application is crucial for the success of IoT systems. The load balancing is an approach to distribute the load among computing nodes so that the computing nodes are not overloaded. In this paper, we propose the priority-based request servicing at fog computing centers. We particularly address the situation when the fog node in fog computing center (FCC) receives more workload than their capacity to handle it. The increased workload is shifted to nearby fog nodes rather than to the remote cloud. The proposed approach is able to minimize the offloading the high priority request to other nodes by 11% which proves the novelty of our proposed.

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