Smart grid evolution through the exploitation of future internet networking concepts

Machine learning (ML)-based intrusion detection system (IDS) approaches have been significantly applied and advanced the state-of-the-art system security and defense mechanisms. In smart grid computing environments, security threats have been significantly increased as shared networks are commonly used, along with the associated vulnerabilities. However, compared to other network environments, ML-based IDS research in a smart grid is relatively unexplored, although the smart grid environment is facing serious security threats due to its unique environmental vulnerabilities. In this article, we conducted an extensive survey on ML-based IDS in smart grids based on the following key aspects: (1) The applications of the ML-based IDS in transmission and distribution side power components of a smart power grid by addressing its security vulnerabilities; (2) dataset generation process and its usage in applying ML-based IDSs in the smart grid; (3) a wide range of ML-based IDSs used by the surveyed papers in the smart grid environment; (4) metrics, complexity analysis, and evaluation testbeds of the IDSs applied in the smart grid; and (5) lessons learned, insights, and future research directions.

A smart grid is an intelligent power grid. In recent years, the smart grid environment and its applications are incorporated into a variety of areas. The smart grid environment, however, can expose much more information than the old environments. In the environment, smart devices can be media in the exposure of various and specific pieces of information as well as energy consumption. This poses a huge risk in that it, combined with other pieces of information, may expose much more information. The current smart grid environment raises a need to develop anonymous signature and authentication techniques to prevent privacy breaches. Trying to meet this need, the principal investigator conducted research for three years. This paper discusses both the research trends investigated by him and the limitations of the development research and future research in need. Smart grid security requires the development of encrypted anonymous authentication that is applicable to power plant security, including nuclear power plants as well as expandable test beds.

Smart grid has become the hot topic to domestic and foreign about the development trend of power grid in recent years, and communication technology is foundation of the development of smart grid; the paper forecasts the smart grid communications automation and development trend.Further from intelligent dispatching center, smart grid, smart distribution grid and users, in view of the existing and emerging intelligent and automatic application were communication needs analysis, and provide a reliable basis for the smart grid communications planning.

India is truculent to meet the electric power demands of a fast expanding economy. Restructuring of the power industry has only increased several challenges for the power system engineers. The proposed vision of introducing viable Smart Grid (SG) at various levels in the Indian power systems has recommended that an advanced automation mechanism needs to be adapted. Smart Grids are introduced to make the grid operation smarter and intelligent. Smart grid operations, upon appropriate deployment can open up new avenues and opportunities with significant financial implications. This paper presents various Smart grid initiatives and implications in the context of power market evolution in India. Various examples of existing structures of automation in India are employed to underscore some of the views presented in this paper. It also reviews the progress made in Smart grid technology research and development since its inception. Attempts are made to highlight the current and future issues involved for the development of Smart Grid technology for future demands in Indian perspective.

The promise of smart grids is very attractive. However, it is not yet clear what the future smart grid will look like. Although most researchers acknowledge that users will play a more prominent role in smart grids, there is a lot of uncertainty on this issue. To counter the strong technological bias in smart grid research and literature, we propose that research should focus more on the social and business dimension of smart grid developments. The main elements of such a research agenda are: Developing more socially embedded visions on smart grids and the services it will provide A shift in the focus on developing smart grids components and systems towards the services it will deliver Development and testing of innovative user-centered business models and ecosystems. More general, on the role of users in smart grids, the main lesson is that user roles should be taken more seriously in relation to smart grids: experts should no longer regard users exclusively and/or simply as potential barriers to smart grid innovation but also as important stakeholders and potential participants in the innovation process.

With the development of smart grid in China as the main line in the new era, the domestic and international environment, strategy and technical route of smart grid development are explored. Firstly, the development status of China's smart grid is analyzed in depth. In addition, the construction of China's smart grid industry and the development of industry chain are elaborated. Finally, the development trend is summarized and the future development pattern of China's smart grid is prospected.

Key performance aspects of an LTE FDD based Smart Grid communications network

This is a study of the visions and expectations which have been put forward by experts about smart grids. Within the sociology of expectation, such visions are given performative significance, and as such these expectations can provide us with an idea of where smart grid development is intended to take us. In order to gain insight into these issues, this paper first undertakes a literature review of 40 smart grid research papers. Thereafter, the paper reviews the self-reporting of 19 smart grid demo projects within the ERA-Net research framework of the EU. The findings suggest that there are three distinct expert smart grid narratives about users, one economic, one technical, and one which consists of a social science critique. The first one seeks to facilitate for user rationality by economic incentives, whereas the second seeks largely to automate the consumption and thereby bypass the question of active users. Social science critique is found to evaluate imagined users and their potential correspondence with real ones. When actual failure of economic incentives is recorded in demo sites, the economic rationale narrative exhibits surprising resilience within the frameworks. Technical narratives reinforce the argument for bypassing the user with the aid of technology, thereby suggesting performativity at work. The discussion raises the question of the actual and perceived need for active users in the smart grid, and suggests that strategies for non-participation of end users in the smart grid are both relevant and necessary.

Smart grid development is an area where the discussion about who can be negatively affected by low-carbon energy transitions has progressed. The research on vulnerable households in smart grids often focuses on how potentially vulnerable groups react to smart energy technologies. This paper contributes to the literature by highlighting how a broad range of actors in society think about neglected and vulnerable households in smart grids. The research question concerns how stakeholders frame potential inequalities, differentiations, and vulnerabilities in smart grids in Sweden. The frame analysis is carried out, building on interviews with national and local public authorities dealing with energy issues and consumer advice, actors involved in developing, testing, and using smart energy technologies as well as interest organizations representing diverse social groups. Three narratives are identified that frame potentially neglected households as consumers without economic benefits; as users without technological interests, competences, and access to technologies; and as households with intersecting vulnerabilities. It is argued that, since there could be different interpretations of inequalities in smart grids, the governance of smart grids, and specifically discussions of neglected/vulnerable households in smart grids, can benefit from the involvement of a broad coalition of actors.

The deployment of smart grids has a major role to play in Japan’s aspiration to achieve sustainable energy systems. A smart grid in Japan is designed to have an intelligent monitoring system, which not only keeps track of all the energy coming in from diverse sources but also can detect where energy is needed through a two-way communication system that collects data about how and when consumers use power. This chapter examines the vision, concepts, and elements of Japan’s smart grid development. Smart grids are a part of the Japanese government’s ‘go green’ effort to bring Japan to a leadership position in environmental and energy sustainability. This analysis provides an overview of Japan’s major initiatives in deploying smart grids, including smart communities, large-scale smart grid pilot projects in four major cities, as well as overseas collaboration. Major smart grid awareness promotion bodies in Japan are discussed along with their important initiatives for influencing and shaping policy, architecture, standards, and traditional utility operations. Implementing a smart grid will not happen quickly because when Japan does adopt one, it will continue to undergo transformation and be updated to support new technologies and functionality.

The global upsurge in research of smart grid and demand response (DR) is opening up new opportunities and challenges to China's power industry in recent years. The smart grid emphasize the interaction with user particularly, including the information interaction and power interaction, which are achieved through the deployment of various types of DR programs. Meanwhile, the development of smart grid also depends on demand response mechanism in the open market environment. DR coincides with the goal of smart grid which is to achieve a high-security, economical, reliable and efficient power system. So the collaboration between smart grid and demand response is talked in this paper. First,we analyze the relationship between smart grid and demand response systematically.Second,the development conditions of DR project in China and abroad are expounded. Furthermore, the necessity and significance of pushing DR project into smart grid is discussed and summarized, finally, methods and suggestions for achieving the collaboration are presented. (4 pages)

With the development of new technologies for smart grid construction, the smart grid is gradually developing. Smart grid construction is an important field of next generation information technology, and its value and significance have been widely recognized. Smart grid construction not only provides development opportunities, but also brings great challenges. Security and privacy have become serious problems in the development of smart grid. Based on this, this paper discusses the system structure of the block chain, and puts forward the security diagnosis scheme of the smart grid according to the existing problems in the smart grid. Based on the theoretical basis of smart grid big data technology, this paper combines the grid data encryption process with the privacy protection process under the premise of protecting privacy and security, and develops the latest network security protocol. Then use block chain distributed storage to reduce the connection protection process in privacy, and use multi-level encryption. The experimental results show that the technology can improve the rate of sensitive data hiding and has good anti-cracking ability, which provides a theoretical reference for the construction of enterprise power grid.

With the widespread promotion of smart grid, the power time series data collected by smart meters also increases rapidly. How to collect these data safely and effectively, analyze and utilize them, and provide better power supply service has become a hot topic of current research. The federated learning technology has attracted much attention from researchers in recent years and various federated learning-based applications have been utilized due to its characteristics of distributed, security, encryption, and reliability. In the development of smart grids, federated learning has been applied for data analytics, privacy preserving, energy management, and so on. This paper is aimed at exploring the feasibility of applying the federated learning framework to the area of smart grids. We conclude the analysis of power time series data, discussing the tribulations and solutions in the process of privacy preserving in the smart grid, and highlighting different challenges of federated learning with the smart grid. We present a summarization among federated learning-based methods with the smart grid for a variety of purposes, with the aim to draw a comparison among federated learning-based methods in the smart grid from different aspects.

With the increasing demand for power services, the variety of services and the global energy resource scarcity, smart grid will become the development trend and strategic goal of the power system. Along with the rapid development of new 5G technologies, smart grids face new challenges and opportunities in the development and construction process, bringing new connotations to smart grids. This paper outlines the key technologies of 5G network slicing and the new demands of smart grid construction, studies the application and solutions of 5G network slicing technology in smart grid, and demonstrates the rationality, technicality and advancedness of 5G network slicing technology to help the innovation and development of smart grid.

Smart Grid and its future perspectives in Australia