Improving the Security of Power Grids using Fuzzy Logic and Hidden Markov Models

The use of smart grid technology allows for bi-directional flow of electricity so that users can generate and sell energy back to the electric power grid. This advancing technology presents increased security vulnerabilities and risks. Various levels of vulnerability could be identified that are related to their causes and effects on the normal functioning of the power grid. In order to improve the security of power grids, fuzzy logic controllers were applied to circuits with different types of power converters. Hidden Markov analysis also proved helpful in increasing security. The results were analyzed and applied to smart grid technology models

Enlargement and Integration Action Activity Workshop on Costs, Benefits and Impact Assessment of Smart Grids for Europe and Beyond

Smart Grids are a key component of the European strategy toward a low-carbon energy future. Growing environmental and energy security concerns represent a major driver for the renovation and improvement of existing energy infrastructure. In this context, Enlargement and Integration countries will have to face substantial investments in the coming years to upgrade and modernise their energy networks towards smart power grids. Wind and solar electricity retain the greatest potential to contribute and increase the shares of renewable electricity production; however, current electricity transmission and distribution systems do not generally appear adequate to reliably cope with large-scale penetration of such variable renewables based generating plants (whether centralised or distributed). Significant investments will need to be mobilized. Most energy investments are long life and capital intensive, therefore investment decisions taken now will have an impact for many years. When planning the electricity system of the future, it is necessary to adopt an integrated approach to assess the interrelated physical, environmental, cyber, social, economic and policy challenges where a fair allocation of short term costs and long term benefits among different players is a precondition for reducing uncertainties and incentivize investments. In this context the workshop will discuss how these developments can provide examples and opportunities for E&I countries to build smart grids and will present and discuss approaches and methodologies for cost – benefit analysis that should include all the costs and benefits that smart grid projects can bring to the energy system at large and to society. The workshop will discuss the impacts of smart grids not only in monetary terms, but also through the identification of externalities and social impacts that can result from the implementation of Smart Grid. The workshop will benefit from the on-going experience in Enlargement and Integration Countries on smart grid developments.JRC.F.3-Energy Security, Systems and Marke

Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoT-aided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems

Security Challenges in Smart-Grid Metering and Control Systems

The smart grid is a next-generation power system that is increasingly attracting the attention of government, industry, and academia. It is an upgraded electricity network that depends on two-way digital communications between supplier and consumer that in turn give support to intelligent metering and monitoring systems. Considering that energy utilities play an increasingly important role in our daily life, smart-grid technology introduces new security challenges that must be addressed. Deploying a smart grid without adequate security might result in serious consequences such as grid instability, utility fraud, and loss of user information and energy-consumption data. Due to the heterogeneous communication architecture of smart grids, it is quite a challenge to design sophisticated and robust security mechanisms that can be easily deployed to protect communications among different layers of the smart grid-infrastructure. In this article, we focus on the communication-security aspect of a smart-grid metering and control system from the perspective of cryptographic techniques, and we discuss different mechanisms to enhance cybersecurity of the emerging smart grid. We aim to provide a comprehensive vulnerability analysis as well as novel insights on the cybersecurity of a smart grid

Communication and Cyber Security issues in Smart Grid

Smart Grid is an Information and Communication Technology (ICT) enabled Power grid. It is efficient, secure, reliable and self-healing power grid. Integration of micro grids, electric vehicles and other utilities make it more interesting. The deregulation of electricity sector has necessitated the use of many advanced software and embedded technologies to handle the size and complexity of power network. Smart grid needs to be supported by efficient and secure communication architecture design and implementation. At the same time it is necessary to ensure the security and privacy of data and information moving or stored in the smart grid system to have near 100% uptime of the power grid. This paper presents a comprehensive analysis of the various communication and cyber security issues involved with the successful operation of Smart Grid

A Smart Grid for the city of Rome: A Cost Benefit Analysis

In this work, the JRC applies its Smart Grid CBA methodology to a full-scale project rather than only to a small-size demonstrative one. To this end, the JRC and ACEA - one of Italy’s biggest Distribution System Operators (DSOs), in charge of managing the distribution system of Rome - teamed up to study the merits of deploying Smart Grid technologies (preliminarily tested in a pilot project) in a big city like the Italian capital, hosting several million electricity users. The ACEA Smart Grid Pilot Project (named "Malagrotta" after the area where pilot solutions were first realised) is the starting point for this study, as it displays many of the characteristics of emerging Smart Grids projects and interconnects several diversified generation facilities (like biogas, waste-to-electricity and PV plants) and consumption centres. This study illustrates the outcome of the application of the JRC Cost Benefit Analysis (CBA) to a) the ACEA Smart Grids pilot project; and b) the planned deployment of Smart Grid technologies (tested in the ACEA Smart Grids pilot project) to the whole of the city of Rome. The CBA is conducted from both the private investor’s and the societal perspective, in order to assess whether scaling up the Smart Grid pilot project benefits the distribution operator and the citizens. Finally, this report shows how the JRC's CBA methodology can be effectively used to assess the financial and economic viability of real Smart Grids projects and help the investment decisions of DSOs.JRC.F.3-Energy Security, Systems and Marke

Vulnerability Analysis of Modern Electric Grids: A Mathematical Optimization Approach

Electrical power must be transmitted through a vast and complicated network of interconnected grids to arrive at one’s fingertips. The US electric grid network and its components are rapidly advancing and adapting to the advent of smart technologies. Production of electricity is transitioning to sustainable processes derived from renewable energy sources like wind and solar power to decrease dependence on nonrenewable fossil fuels. These newly pervasive natures of smart technology and the variable power supply of renewable energy introduce previously unexamined vulnerabilities into the modern electric grid. Disruption of grid operations is not uncommon, and the effects can be economically and societally severe. Thus, a vulnerability analysis can provide decision makers with the ability to characterize points of improvement in the networks they supervise. This thesis performs a vulnerability analysis of electric grid operations including storage. This vulnerability analysis is achieved through a set of numerical experiments on a multi-period optimal power flow model including storage and variable demand. This model resulted in an analysis indicating storage is helpful in increasing resilience in networks with excess generation, no matter how severe the disruption. Networks with constrained generation benefit little, if at all, from storage. This analysis allows us to conclude careful implementation is the best way to improve electric grid security in the face of widespread use of renewable energy and smart technology

Smart grid projects outlook 2017: facts, figures and trends in Europe

The 2017 Outlook offers a snapshot of the state of play and of the latest developments in the field of smart grids in Europe. The analysis is based on a database of 950 R & D and demonstration projects, totalling around EUR 5 billion of investment. It aims to foster knowledge sharing and to inform future policymaking.JRC.C.3-Energy Security, Distribution and Market

Computational Intelligence Applications in Smart Grids: Enabling Methodologies for Proactive and Self Organizing Power Systems

This book considers the emerging technologies and methodologies of the application of computational intelligence to smart grids. From a conceptual point of view, the smart grid is the convergence of information and operational technologies applied to the electric grid, allowing sustainable options to customers and improved levels of security. Smart grid technologies include advanced sensing systems, two-way high-speed communications, monitoring and enterprise analysis software, and related services used to obtain location-specific and real-time actionable data for the provision of enhanced services for both system operators (i.e. distribution automation, asset management, advanced metering infrastructure) and end-users (i.e. demand side management, demand response). In this context, a crucial issue is how to support the evolution of existing electrical grids from static hierarchal systems to self-organizing, highly scalable and pervasive networks. Modern trends are oriented toward the employment of computational intelligence techniques for deploying advanced control, protection and monitoring architectures that move away from the older centralized paradigm to systems distributed across the field with an increasing pervasion of intelligence devices. The large-scale deployment of computational intelligence technologies in smart grids could lead to a more efficient tasks distribution amongst energy resources and, consequently, to a sensible improvement of the electrical grid flexibility