scholarly journals Intelligent Buildings in Smart Grids: A Survey on Security and Privacy Issues Related to Energy Management

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2733
Author(s):  
Alvaro Llaria ◽  
Jessye Dos Santos ◽  
Guillaume Terrasson ◽  
Zina Boussaada ◽  
Christophe Merlo ◽  
...  

During the last decade, the smart grid (SG) concept has started to become a reality, mainly thanks to the technical progress achieved in telecommunications, informatics and power electronics, among other domains, leading to an evolution of the traditional electrical grid into an intelligent one. Nowadays, the SG can be seen as a system of smart systems that include cyber and physical parts from different technologies that interact with each other. In this context, intelligent buildings (IBs) constitute a paradigm in which such smart systems are able to guarantee the comfort of residents while ensuring an appropriate tradeoff of energy production and consumption by means of an energy management system (EMS). These interconnected EMSs remain the objective of potential cyber-attacks, which is a major concern. Therefore, this paper conducts a survey, from a multidisciplinary point of view, of some of the main security and privacy issues related to IBs as part of the SG, including an overview of EMS, smart meters, and the main communication networks employed to connect IBs to the overall SG. Future research directions towards a security enhancement from both technical and human perspectives are also provided.

Author(s):  
Kianoosh G. Boroojeni ◽  
M. Hadi Amini ◽  
S. S. Iyengar

Author(s):  
Kianoosh G. Boroojeni ◽  
M. Hadi Amini ◽  
S. S. Iyengar

Author(s):  
Amir Manzoor

The transformation of electric grid into smart grid has improved management of available resources and increased energy efficiency. Energy management systems (EMS) play an important role in enhancing user participation in control of energy management. Using such systems, consumers can obtain information about their energy consumption patterns and shape their energy consumption behaviors for efficient energy utilization. Contemporary EMS utilizes advanced analytics and ICT to provide consumers actionable feedback and control of energy management. These systems provide high availability, an easy-to-use user interface, security, and privacy. This chapter explores the contemporary EMS, their applications, classifications, standards, and frameworks. The chapter defines a set of requirements for EMS and provides feature comparison of various EMS. The chapter also discusses emerging trends and future research areas in EMS.


Author(s):  
Yona Lopes ◽  
Natalia Castro Fernandes ◽  
Tiago Bornia de Castro ◽  
Vitor dos Santos Farias ◽  
Julia Drummond Noce ◽  
...  

Advances in smart grids and in communication networks allow the development of an interconnected system where information arising from different sources helps building a more reliable electrical network. Nevertheless, this interconnected system also brings new security threats. In the past, communication networks for electrical systems were restrained to closed and secure areas, which guaranteed network physical security. Due to the integration with smart meters, clouds, and other information sources, physical security to network access is no longer available, which may compromise the electrical system. Besides smart grids bring a huge growth in data volume, which must be managed. In order to achieve a successful smart grid deployment, robust network communication to provide automation among devices is necessary. Therefore, outages caused by passive or active attacks become a real threat. This chapter describes the main architecture flaws that make the system vulnerable to attacks for creating energy disruptions, stealing energy, and breaking privacy.


2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Aravind Kailas ◽  
Valentina Cecchi ◽  
Arindam Mukherjee

With the exploding power consumption in private households and increasing environmental and regulatory restraints, the need to improve the overall efficiency of electrical networks has never been greater. That being said, the most efficient way to minimize the power consumption is by voluntary mitigation of home electric energy consumption, based on energy-awareness and automatic or manual reduction of standby power of idling home appliances. Deploying bi-directional smart meters and home energy management (HEM) agents that provision real-time usage monitoring and remote control, will enable HEM in “smart households.” Furthermore, the traditionally inelastic demand curve has began to change, and these emerging HEM technologies enable consumers (industrial to residential) to respond to the energy market behavior to reduce their consumption at peak prices, to supply reserves on a as-needed basis, and to reduce demand on the electric grid. Because the development of smart grid-related activities has resulted in an increased interest in demand response (DR) and demand side management (DSM) programs, this paper presents some popular DR and DSM initiatives that include planning, implementation and evaluation techniques for reducing energy consumption and peak electricity demand. The paper then focuses on reviewing and distinguishing the various state-of-the-art HEM control and networking technologies, and outlines directions for promoting the shift towards a society with low energy demand and low greenhouse gas emissions. The paper also surveys the existing software and hardware tools, platforms, and test beds for evaluating the performance of the information and communications technologies that are at the core of future smart grids. It is envisioned that this paper will inspire future research and design efforts in developing standardized and user-friendly smart energy monitoring systems that are suitable for wide scale deployment in homes.


2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
E. Ivashchenko ◽  
A. Stefan ◽  
O. Kubatko ◽  
M. Kharchenko

Today large amounts of energy resources are needed to meet public needs. In the era of industrialization, when the solution of production problems, and the functioning of households was due to the active extraction of the Earth's interior, the level of reserves of non-renewable resources has decreased significantly, which led to the deterioration of the ecological state of the planet. This situation encourages the search for and transition to the energy production, which is based on a alternative sources as norms of social life. A promising direction to achieve this goal is the widespread introduction of smart grids. The article explores the idea, principles and components that are part of the structure of smart systems. The advantages of their introduction into the energy sphere of a country's economy are also highlighted. To study the prospects for renewal of the energy sector and productive implementation of intelligent technologies, it is necessary to study the experience of other countries on this issue. The index of energy infrastructure functionality was chosen as a criterion when measuring energy efficiency indicators. Among the list of countries, most leaders have high economic development and the right choice of resources, which was the reason for success. Despite the potential and need, the use of renewable resources in the creation of energy causes an increase in the amplitude of fluctuations in voltage levels and increase the probability of differences. The solution to this problem will be the use of smart meters. A number of countries have already decided to the introduction of this technology. A necessary element of the effective implementation of the experience of countries is the creation of the necessary conditions to change some points in energy policy. A key element in the development of smart grids should be the road map, which is a normative document with a set of actions, processes and stakeholders to agree on strategic and tactical components. The use of road maps is quite common and has certain advantages. The paper highlights the roadmap for the creation of smart energy networks in Ukraine, which was developed taking into account certain restrictions existing within the country. The problems that may arise in the implementation of this plan are indicated. Based on the planned structure of electricity generation for 2021, proposed by the Ministry of Energy of Ukraine, the sources of electricity production were considered and the factors. A promising way of development is the use and implementation of technologies used in the creation of smart energy supply networks.


Author(s):  
Isaac Chin Eian ◽  
Ka Yong Lim ◽  
Majesty Xiao Li Yeap ◽  
Hui Qi Yeo ◽  
Fatima Z

In recent years, wireless networks have undoubtedly become a convenient way to connect to the Internet and provide connection to everyone in any corner of the world. In fact, in this era, people are connected to the internet almost everyday and wireless networks give us this privilege in a seamless manner. A wireless network normally consists of access points and nodes where the access points are responsible to amplify the wireless signals, while the nodes are the gadgets that are receiving these signals. However, with such great convenience provided, many challenges are also faced by the users and stakeholders. With no physical connection to devices, wireless networks are evidently more vulnerable to invisible cyber attacks. In this research paper, it the security issues that cause issues in the wireless networks are discussed. Furthermore, an analytical review of privacy challenges found in these networks is performed; these challenges are segregated into security issues and privacy issues. The paper will then present the methods used in conducting a survey and gathering the research results along with further discussion on the results obtained through this study. Finally, a suitable solution is proposed to prevent and overcome the intrusions faced in terms of security and privacy in wireless network scenarios through detection and response mechanism for mitigation of the problems.


Author(s):  
Amir Manzoor

The transformation of electric grid into smart grid has improved management of available resources and increased energy efficiency. Energy management systems (EMS) play an important role in enhancing user participation in control of energy management. Using such systems, consumers can obtain information about their energy consumption patterns and shape their energy consumption behaviors for efficient energy utilization. Contemporary EMS utilizes advanced analytics and ICT to provide consumers actionable feedback and control of energy management. These systems provide high availability, an easy-to-use user interface, security, and privacy. This chapter explores the contemporary EMS, their applications, classifications, standards, and frameworks. The chapter defines a set of requirements for EMS and provides feature comparison of various EMS. The chapter also discusses emerging trends and future research areas in EMS.


Author(s):  
Doney Abraham ◽  
Sule Yildirim Yayilgan ◽  
Mohamed Abomhara ◽  
Alemayehu Gebremedhin ◽  
Fisnik Dalipi

2021 ◽  
Author(s):  
Faisal Y Al Yahmadi ◽  
Muhammad R Ahmed

Many countries around the world are implementing smart grids and smart meters. Malicious users that have moderate level of computer knowledge can manipulate smart meters and launch cyber-attacks. This poses cyber threats to network operators and government security. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we propose a model based on software that detects malicious nodes in a smart grid network. The model collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) model is implemented to classify nodes into good or malicious nodes by (high dimensional) giving the statues of 1 for good nodes and status of -1 for malicious (abnormal) nodes. The detection model also displays the network graphically as well as the data table. Moreover, this model displays the detection error in each cycle. It has a very low false alarm rate (2%) and a high detection rate as high as (98%). Future developments can trace the attack origin to eliminate or block the attack source minimizing losses before human control arrives.


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