Evolving Electric Utility Information Systems to Leverage the Smart Grid

2012 ◽  
Author(s):  
C. Roy ◽  
S. Mullins
Keyword(s):  
Information Systems ◽  
Smart Grid ◽  
Electric Utility ◽  
Utility Information

scholarly journals Grid-Tied Distributed Generation Systems to Sustain the Smart Grid Transformation: Tariff Analysis and Generation Sharing

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1187 ◽  
Author(s):  
Fernando Yanine ◽  
Antonio Sánchez-Squella ◽  
Aldo Barrueto ◽  
Antonio Parejo ◽  
Felisa Cordova ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Storage ◽  
Smart Grid ◽  
Power Control ◽  
Energy Management ◽  
Distributed Generation ◽  
Electric Utility ◽  
Green Energy ◽  
Supply Capacity

In this paper a novel model is being proposed and considered by ENEL—the largest electric utility in Chile—and analyzed thoroughly, whereby electric power control and energy management for a 60-apartments’ residential building is presented as an example of the utility’s green energy program, part of its Smart Grid Transformation plan to install grid-tied distributed generation (DG) systems, namely microgrids, with solar generation and energy storage in Santiago, Chile. The particular tariffs scheme analysis shown is part of the overall projected tentative benefits of adopting the new scheme, which will require the utility’s customers to adapt their consumption behavior to the limited supply of renewable energy by changing energy consumption habits and schedules in a way that maximizes the capacity and efficiency of the grid-tied microgrid with energy storage. The change in behavior entails rescheduling power consumption to hours where the energy supply capacity in the DG system is higher and price is lower as well as curtailing their power needs in certain hourly blocks so as to maximize DG system’s efficiency and supply capacity. Nevertheless, the latter presents a problem under the perspective of ENEL’s renewable energy sources (RES) integration plan with the electric utility’s grid supply, which, up until now and due to current electric tariffs law, has not had a clear solution. Under said scenario, a set of strategies based on energy homeostasis principles for the coordination and control of the electricity supply versus customers’ demand has been devised and tested. These strategies which consider various scenarios to conform to grid flexibility requirements by ENEL, have been adapted for the specific needs of these types of customers while considering the particular infrastructure of the network. Thus, the microgrid adjusts itself to the grid in order to complement the grid supply while seeking to maximize green supply capacity and operational efficiency, wherein the different energy users and their energy consumption profiles play a crucial role as “active loads”, being able to respond and adapt to the needs of the grid-connected microgrid while enjoying economic benefits. Simulation results are presented under different tariff options, system’s capacity and energy storage alternatives, in order to compare the proposed strategies with the actual case of traditional grid’s electricity distribution service, where no green energy is present. The results show the advantage of the proposed tariffs scheme, along with power control and energy management strategies for the integration of distributed power generation within ENEL’s Smart Grid Transformation in Chile.

scholarly journals Information Security Risk Propagation Model Based on the SEIR Infectious Disease Model for Smart Grid

Information ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 323 ◽  
Author(s):  
Boyu Zhu ◽  
Song Deng ◽  
Yunan Xu ◽  
Xinya Yuan ◽  
Zi Zhang
Keyword(s):  
Infectious Disease ◽  
Information Systems ◽  
Information Security ◽  
Smart Grid ◽  
Disease Model ◽  
Propagation Model ◽  
Information Collection ◽  
Security Risk ◽  
Security Risks ◽  
Physical Systems

With the high integration of smart grid information and physical systems, the security of information systems must affect the safe and stable operation of physical systems. Risk assessment is an effectual means to objectively evaluate the information security threats of the smart grid. However, the existing risk assessment methods are aim at solving the threat of security risks in communication networks and information systems in the smart grid, but there is no in-depth study on how the spread of information security risks between information systems and physical systems in the smart grid. Therefore, based on the traditional infectious disease transmission theory, the information security risk propagation model based on the Susceptible–Exposed–Infected–Recovered (SEIR) infectious disease model for smart grid (ISRP-SEIRIDM) is proposed in this paper. In ISRP-SEIRIDM, we analyze the information interaction between information collection devices and define the connection of nature and the security risks between the information collection devices in the smart grid. At the same time, we also study the impact of the number of information acquisition devices and information interaction capabilities of these devices on the speed of security risk transmission between information systems and physics systems in the smart grid and the maximum risk range. Experimental results show that the risk propagation range can be significantly reduced by optimizing the data interaction capability and information transmission path between information collection devices in the smart grid; when a probability from a susceptible state to an exposed state reduces by 0.15, the maximum spread and average spread of security risk will be reduced by 7% and 1.96%, respectively.

scholarly journals CO2 emission reduction and energy management for an integrated smart grid — Case of study: Rwandan electrical network

2020 ◽  
Vol 181 ◽  
pp. 03002
Author(s):  
Fabien Mukundufite ◽  
Jean Marie Vianney Bikorimana ◽  
Etienne Ntagwirumugara ◽  
Alex Kyaruzi
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Co2 Emission ◽  
Electric Utility ◽  
Electrical Network ◽  
Pv System ◽  
Co2 Emission Reduction ◽  
Electrical Grid ◽  
Load Demand ◽  
Operation Cost

Many scholars have been focusing on the energy management by Integrating a smart grid into a conventional electrical grid. They have showed that to meet a certain power demand of the consumers, using energy management, the electric utility can turn on some generators, which may have the least operation cost, while the generators with high operation cost are left to supply extra load demand in specific peak periods. Henceforth, the operation cost of its generation units is minimized. The issue remains at a level of relating the energy management to CO2 emission. The present paper briefly discusses the Rwandan electrical network that still integrates the use of diesel generators. It estimates the amount of CO2 emission that can be avoided once a PV system is integrated into the electrical network. The paper as well proposes an algorithm for energy management with consideration of CO2 emission.

scholarly journals GEOSPATIAL, FINANCIAL, HUMAN, AND TEMPORAL FACTORS IN THE STUDY OF THE DEVELOPMENT OF RENEWABLE ENERGY AND SMART GRIDS

2020 ◽  
pp. 84-96
Author(s):  
Y. Matvieieva ◽  
I. Myroshnychenko ◽  
S. Kolosok ◽  
R. Kotyuk
Keyword(s):  
Renewable Energy ◽  
Information Systems ◽  
Smart Grid ◽  
Smart Grids ◽  
Successful Operation ◽  
Scientific Publications ◽  
Balanced Development ◽  
The Third ◽  
Research Areas ◽  
The Impact

Balanced development of smart grids is becoming an increasingly important issue for the energy sector's successful operation. This article provides a bibliographic review of publications in the study of renewable energy and smart grids' deployment parameters. A sample of works for 2009-2020 from the Scopus® database, which contains bibliographic information about scientific publications in peer-reviewed journals, books, and conferences, was selected for analysis. The authors identified three clusters of research areas using VOSviewer (version 1.6.15) in the context of the impact of geospatial parameters on smart grids' development. The first cluster consists of the financial, human, and temporal components of the geospatial factor of smart grid deployment. The authors found the largest number of links in the first cluster in terms of "costs" (a total of 29 links with an average impact of 9). The second cluster coincides with concepts related to geospatial information systems (GIS), digital storage, information systems, and cartographic information use. Research on renewable energy also belongs to the second cluster of publications. And the third cluster highlights all the concepts of smart grids by their technical types and in the context of optimization. The third cluster focuses on the ideas with the strongest link power. The results of the analysis of the Scopus® database allowed to determine the level and dynamics of scientific interest in the geospatial factors of the development of smart grids over the past 10 years. It is established that research in the field of geospatial factors of smart grid development is carried out by different countries, but the most active analysis of the impact of geospatial parameters on the development of smart grids in the following countries: USA, Canada and China. Based on the use of the Scopus® database, the article identified institutions and organizations that fund the study of geospatial factors and smart grids and made a significant contribution to the development of this topic.

scholarly journals Cybersecurity Vulnerability Analysis of the PLC PRIME Standard

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Miguel Seijo Simó ◽  
Gregorio López López ◽  
José Ignacio Moreno Novella
Keyword(s):  
Information Systems ◽  
Smart Grid ◽  
Power Grid ◽  
Critical Infrastructures ◽  
Cyberphysical Systems ◽  
Advanced Metering Infrastructure ◽  
Power Line Communications ◽  
Vital Importance ◽  
Last Mile ◽  
Advanced Metering

Security in critical infrastructures such as the power grid is of vital importance. The Smart Grid puts power grid classical security approach on the ropes, since it introduces cyberphysical systems where devices, communications, and information systems must be protected. PoweRline Intelligent Metering Evolution (PRIME) is a Narrowband Power-Line Communications (NB-PLC) protocol widely used in the last mile of Advanced Metering Infrastructure (AMI) deployments, playing a key role in the Smart Grid. Therefore, this work aims to unveil the cybersecurity vulnerabilities present in PRIME standard, proposing solutions and validating and discussing the results obtained.

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