Introduction: Electrical-Energy Revolutions and Smart Grids

2021 ◽  
pp. 1-19
Author(s):  
Njabulo Kambule ◽  
Nnamdi Nwulu
Keyword(s):  
Smart Grids ◽  
Electrical Energy

Implementation of Load Control for Smart Metering in Smart Grids

2022 ◽  
pp. 127-164
Author(s):  
Abdelmadjid Recioui ◽  
Fatma Zohra Dekhandji
Keyword(s):  
Smart Grids ◽  
Control Process ◽  
Electrical Energy ◽  
Load Control ◽  
Smart Meters ◽  
Cumulative Energy ◽  
Photovoltaic Panel ◽  
Labview Software ◽  
Data Acquisition Card ◽  
Cost Calculations

The conventional energy meters are not suitable for long operating purposes as they spend much human and material resources. Smart meters, on the other hand, are devices that perform advanced functions including electrical energy consumption recording of residential/industrial users, billing, real-time monitoring, and load balancing. In this chapter, a smart home prototype is designed and implemented. Appliances are powered by the grid during daytime, and a photovoltaic panel stored power during the night or in case of an electricity outage. Second, consumed power from both sources is sensed and further processed for cumulative energy, cost calculations and bill establishment for different proposed scenarios using LABVIEW software. Data are communicated using a USB data acquisition card (DAQ-USB 6008). Finally, a simulation framework using LABVIEW software models four houses each equipped with various appliances. The simulator predicts different power consumption profiles to seek of peak-demand reduction through a load control process.

scholarly journals Energies and Its Worldwide Research

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6700
Author(s):  
Nuria Novas ◽  
Alfredo Alcayde ◽  
Isabel Robalo ◽  
Francisco Manzano-Agugliaro ◽  
Francisco G. Montoya
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Storage ◽  
Power Systems ◽  
Smart Grids ◽  
High Efficiency ◽  
Scientific Journal ◽  
Electric Energy ◽  
Electrical Energy ◽  
Energy Research

Energy efficiency and management is certainly one of the key drivers of human progress. Thus, the trends in the energy research are a topic of interest for the scientific community. The aim of this study is to highlight global research trends in this field through the analysis of a scientific journal indexed exclusively in the energy and fuels category. For this purpose, a journal has been selected that is in the center of the category considering its impact factor, which is only indexed in this category and of open access, Energies of the publisher MDPI. Therefore, a bibliometric analysis of all the contents of the journal between 2008 and 2020, 13,740 documents published, has been carried out. Analyzing the articles that are linked to each other by their citations, 14 clusters or research topics have been detected: smart grids; climate change–electric energy community; energy storage; bioenergy sources; prediction algorithms applied to power; optimization of the grid link for renewable energy; wind power; sustainability of power systems; hydrocarbon improvements; conversion of thermal/electrical energy; electric motor advancements; marine renewable energy; hydropower and energy storage; and preventive techniques in power transformers. The main keywords found were electric vehicle, renewable energy, microgrid, smart grid, and energy efficiency. In short, energy research remains necessary to meet the future challenge of sustainable energy with high efficiency and the exploration of new renewable resources, all for increasingly sustainable cities.

scholarly journals Effect of Demand Side Management on the Operation of PV-Integrated Distribution Systems

2020 ◽  
Vol 10 (21) ◽  
pp. 7551
Author(s):  
Jaser A. Sa’ed ◽  
Zakariya Wari ◽  
Fadi Abughazaleh ◽  
Jafar Dawud ◽  
Salvatore Favuzza ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Smart Grids ◽  
Distribution Systems ◽  
Electrical Energy ◽  
Demand Side Management ◽  
Test System ◽  
Demand Side ◽  
Direct Load Control ◽  
Wide Range ◽  
Load Shape

In this new era of high electrical energy dependency, electrical energy must be abundant and reliable, thus smart grids are conducted to deliver load demands. Hence, smart grids are implemented alongside distributed generation of renewable energies to increase the reliability and controllability of the grid, but, with the very volatile nature of the Distributed Generation (DG), Demand Side Management (DSM) helps monitor and control the load shape of the consumed power. The interaction of DSM with the grid provides a wide range of mutual benefits to the user, the utility and the market. DSM methodologies such as Conservation Voltage Reduction (CVR) and Direct Load Control (DLC) collaborate in the reduction of plant generation and reciprocally to the comprehensive cost. The aim of this paper is to investigate the effects caused by the implementation of DSM on the operation of PV-integrated distribution systems. The algorithms of CVR, DLC and the combination of CVR and DLC were implemented using OpenDSS and MATLAB. The effectiveness of the aforementioned schemes was verified on IEEE 30-Bus test system. Various possible integration scenarios between Photovoltaic (PV) and DSM schemes are illustrated. The optimal integration of such schemes constraining the reduction of energy consumed by the user and utility is presented. The results show that the implemented DSM algorithms provide a noticeable reduction in energy losses and reduction in consumed energy.

Trust Management Issues for Sensors Security and Privacy in the Smart Grid

2018 ◽  
pp. 86-103
Author(s):  
Nawal Ait Aali ◽  
Amine Baina ◽  
Loubna Echabbi
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Real Time ◽  
Smart Grids ◽  
Trust Management ◽  
Electrical Energy ◽  
Security And Privacy ◽  
Electric Networks ◽  
Electrical Grid ◽  
The World

Currently, smart grids have changed the world, given the great benefits of these critical infrastructures regarding the customers' satisfaction by offering them the electrical energy that they need for their business. Also, the smart grid aims to solve all the problems encountered in the current electrical grid (outage, lack of renewable energy, an excess in the produced power, etc.) by transmitting and sharing the information in real time between the different entities through the installation of the sensors. This chapter therefore presents the architecture of the smart grid by describing its objectives and advantages. In addition, the microgrids are presented as small electric networks. Then, focusing on the security aspects, an analysis of the different attacks and risks faced in the smart grids and more particularly in the microgrids is presented. After, different techniques and suitable security solutions are detailed to protect and secure the various elements of the smart grids and microgrids.

scholarly journals Smart Grid Virtualisation for Grid-Based Routing

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1879
Author(s):  
Armin Veichtlbauer ◽  
Alexander Heinisch ◽  
Ferdinand von von Tüllenburg ◽  
Peter Dorfinger ◽  
Oliver Langthaler ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Smart Grids ◽  
Power Grid ◽  
Electrical Power ◽  
Electrical Energy ◽  
Communication Infrastructure ◽  
Medium Voltage ◽  
Heating And Cooling ◽  
Correct Data ◽  
Load Impact

Due to changed power consumption patterns, technological advance and deregulation, the appearance of the power grid in the low and medium voltage segment has changed. The spread of heating and cooling with electrical energy and an increase of electric vehicles as well as the broad rollout of photovoltaic systems has a major impact on the peak power demand of modern households and the volatility smart grids have to face. Thus, besides the load impact of the growing population of electric vehicles, modern households are not only consumers of electrical power, but also power producers, so called prosumers. The rising number of prosumers and the limitations of grid capacities lead to an increasingly distributed system of heterogeneous components, which have to be managed and operated with locality and scalability in mind. Virtualisation technologies, particularly known as state of the art in data centre computing, can lead to a paradigm shift needed to meet the growing demands of this evolution. A key issue here is to forward data to the correct data sinks, where data are required in order to keep the grid balanced. This routing process has to be able to react on grid changes in a timely manner, i.e., it must be based on the instantaneous state of the grid. In this paper, we propose a solution based on virtualising the communication infrastructure in the low and medium voltage grid. We evaluate two different approaches. The first approach is based on SDN; an ONOS SDN controller is used to change the behaviour of the communication infrastructure according to information provided by components of the power grid. The second approach uses Coaty and a Mosquitto MQTT broker to deliver messages to the desired endpoint, again based on information from the power grid.

Simulation Model of Photovoltaic and Photovoltaic/Thermal Module/String Under Nonuniform Distribution of Irradiance and Temperature

2016 ◽  
Vol 139 (2) ◽  
Author(s):  
Giuseppe Marco Tina
Keyword(s):  
Smart Grids ◽  
Electrical Energy ◽  
Standard Test ◽  
Nonuniform Distribution ◽  
Operating Conditions ◽  
Uneven Distribution ◽  
Solar Systems ◽  
Pv Array ◽  
Simulink Model ◽  
Pv Cell

The modern concepts of sustainable cities and smart grids have caused an increase in the installation of solar systems in urban and suburban areas, where, due to the presence of many obstacles or design constraints, photovoltaic (PV) modules can operate in operating conditions that are very different from the optimal ones (e.g., standard test conditions, STC). Shading and reflection are the main phenomena that cause uneven distribution of irradiance on PV cells; in turn, they create a nonuniform distribution of PV cell temperatures. The latter problem can also be caused by different ventilation regimes in various parts of the PV array. On the other hand, due to the need to exploit different solar technologies (solar thermal and photovoltaic), problems related to the availability of a useful surface can arise. In this context, there is a technology that produces heat end electrical energy at the same time, such a technology is referred to as a solar hybrid photovoltaic/thermal (PV/T). Here, the uneven distribution of temperature is a design input and its effect depends on both path of the water flow and the PV cell connections. To study the electrical behavior of a PV array under mismatching conditions, a suitable matlab/simulink model has been developed. The model has been tested both numerically and experimentally. Finally, an application of this model in the electrical analysis of a PV/T module is reported, and the results are discussed.

Implementation of Load Control for Smart Metering in Smart Grids

2021 ◽  
pp. 119-155
Author(s):  
Abdelmadjid Recioui ◽  
Fatma Zohra Dekhandji
Keyword(s):  
Smart Grids ◽  
Control Process ◽  
Electrical Energy ◽  
Load Control ◽  
Smart Meters ◽  
Cumulative Energy ◽  
Photovoltaic Panel ◽  
Labview Software ◽  
Data Acquisition Card ◽  
Cost Calculations

The conventional energy meters are not suitable for long operating purposes as they spend much human and material resources. Smart meters, on the other hand, are devices that perform advanced functions including electrical energy consumption recording of residential/industrial users, billing, real-time monitoring, and load balancing. In this chapter, a smart home prototype is designed and implemented. Appliances are powered by the grid during daytime, and a photovoltaic panel stored power during the night or in case of an electricity outage. Second, consumed power from both sources is sensed and further processed for cumulative energy, cost calculations and bill establishment for different proposed scenarios using LABVIEW software. Data are communicated using a USB data acquisition card (DAQ-USB 6008). Finally, a simulation framework using LABVIEW software models four houses each equipped with various appliances. The simulator predicts different power consumption profiles to seek of peak-demand reduction through a load control process.

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