Power Grids in India: A Paradigm Shift from Dumb to Smart Grids

2013 ◽  
Author(s):  
Bhavesh Kumar Chauhan ◽  
Swati Takiyar
Keyword(s):  
Paradigm Shift ◽  
Smart Grids ◽  
Power Grids

scholarly journals Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4776
Author(s):  
Seyed Mahdi Miraftabzadeh ◽  
Michela Longo ◽  
Federica Foiadelli ◽  
Marco Pasetti ◽  
Raul Igual
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
Smart Grids ◽  
State Of The Art ◽  
Smart Cities ◽  
Power Grids ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
New Research ◽  
Traditional Approaches

The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.

scholarly journals Optimization of Stochastic Lossy Transport Networks and Applications to Power Grids

2021 ◽  
Author(s):  
Alessandro Zocca ◽  
Bert Zwart
Keyword(s):  
Mathematical Model ◽  
Renewable Energy ◽  
Smart Grids ◽  
Transport Network ◽  
Power Grids ◽  
Performance Gain ◽  
Power Losses ◽  
Transport Networks ◽  
Trade Off ◽  
Stochastic Load

Motivated by developments in renewable energy and smart grids, we formulate a stylized mathematical model of a transport network with stochastic load fluctuations. Using an affine control rule, we explore the trade-off between the number of controllable resources in a lossy transport network and the performance gain they yield in terms of expected power losses. Our results are explicit and reveal the interaction between the level of flexibility, the intrinsic load uncertainty, and the network structure.

scholarly journals A Lightweight Scheme to Authenticate and Secure the Communication in Smart Grids

2018 ◽  
Vol 8 (9) ◽  
pp. 1508 ◽  
Author(s):  
Israa Aziz ◽  
Hai Jin ◽  
Ihsan Abdulqadder ◽  
Zaid Hussien ◽  
Zaid Abduljabbar ◽  
...  
Keyword(s):  
Smart Grids ◽  
Electrical Power ◽  
Distribution Networks ◽  
Power Grids ◽  
Control Center ◽  
Medium Voltage ◽  
Authentication Mechanism ◽  
Computational Overhead ◽  
Automation Equipment ◽  
Lightweight Authentication

Self-reconfiguration in electrical power grids is a significant tool for their planning and operation during both normal and abnormal conditions. The increasing in employment of Intelligent Electronic Devices (IEDs), as well as the rapid growth of the new communication technologies have increased the application of Feeder Automation (FA) in Distribution Networks (DNs). In a Smart Grid (SG), automation equipment, such as a Smart Breaker (SB), is used. Using either a wired or a wireless network or even a combination of both, communication between the Control Center (CC) and SBs can be made. Nowadays, wireless technology is widely used in the communication of DNs. This may cause several security vulnerabilities in the power system, such as remote attacks, with the goal of cutting off the electrical power provided to significant consumers. Therefore, to preserve the cybersecurity of the system, there is a need for a secure scheme. The available literature investments proposed a heavyweight level in security schemes, while the overhead was not considered. To overcome this drawback, this paper presents an efficient lightweight authentication mechanism with the necessary steps to ensure real-time automatic reconfiguration during a fault. As a first stage, authentication will be made between CC and SB, SB then sends the information about its status. To ensure the integrity of the authentication exchange, a hash function is used, while the symmetric algorithm is used to ensure privacy. The applicability of the suggested scheme has been proved by conducting security performance and analysis. The proposed scheme will be injected on ABB medium voltage breaker with the REF 542plus controller. Therefore, the probable benefit of the suggested scheme is the contribution to provide more flexibility for electrical utilities in terms of reducing the overall computational overhead and withstanding to various types of attacks, while also opening new prospects in FA of SGs.

Securing SDN-Enabled Smart Power Grids

2018 ◽  
pp. 79-98
Author(s):  
Uttam Ghosh ◽  
Pushpita Chatterjee ◽  
Sachin Shetty
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Single Point ◽  
Performance Comparison ◽  
Power Grids ◽  
Smart Power ◽  
Control Center ◽  
Grid Networks ◽  
Result Show ◽  
Sdn Controller

Software-defined networking (SDN) provides flexibility in controlling, managing, and dynamically reconfiguring the distributed heterogeneous smart grid networks. Considerably less attention has been received to provide security in SDN-enabled smart grids. Centralized SDN controller protects smart grid networks against outside attacks only. Furthermore, centralized SDN controller suffers from a single point of compromise and failure which is detrimental to security and reliability. This chapter presents a framework with multiple SDN controllers and security controllers that provides a secure and robust smart grid architecture. The proposed framework deploys a local IDS to provide security in a substation. Whereas a global IDS is deployed to provide security in control center and overall smart grid network, it further verifies the consequences of control-commands issued by SDN controller and SCADA master. Performance comparison and simulation result show that the proposed framework is efficient as compared to existing security frameworks for SDN-enabled smart grids.

Formal Verification of ZigBee-Based Routing Protocol for Smart Grids

2021 ◽  
pp. 1002-1017
Author(s):  
Adnan Rashid ◽  
Osman Hasan
Keyword(s):  
Smart Grid ◽  
Formal Methods ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Smart Grids ◽  
Communication Technologies ◽  
Power Grids ◽  
Communication Link ◽  
Grid Systems ◽  
Efficiency Performance

Smart grids provide a digital upgradation of the conventional power grids by alleviating the power outages and voltage sags that occur due to their inefficient communication technologies and systems. They mainly tend to strengthen the efficiency, performance, and reliability of the traditional grids by establishing a trusted communication link between their different components through routing protocols. The conventional methods, i.e., the computer-based simulations and net testing, for analyzing these routing network protocols are error-prone and thus cannot be relied upon while analyzing the safety-critical smart grid systems. Formal methods can cater for the above-mentioned inaccuracies and thus can be very beneficial in analyzing communication protocols used in smart grids. In order to demonstrate the utilization and effectiveness of formal methods in analyzing smart grid routing protocols, we use the UPPAAL model checker to formally model the ZigBee-based routing protocol. We also verify some of its properties, such as, liveness, collision avoidance and deadlock freeness.

Securing SDN-Enabled Smart Power Grids

2022 ◽  
pp. 1028-1046
Author(s):  
Uttam Ghosh ◽  
Pushpita Chatterjee ◽  
Sachin Shetty
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Single Point ◽  
Performance Comparison ◽  
Power Grids ◽  
Smart Power ◽  
Control Center ◽  
Grid Networks ◽  
Result Show ◽  
Sdn Controller

Software-defined networking (SDN) provides flexibility in controlling, managing, and dynamically reconfiguring the distributed heterogeneous smart grid networks. Considerably less attention has been received to provide security in SDN-enabled smart grids. Centralized SDN controller protects smart grid networks against outside attacks only. Furthermore, centralized SDN controller suffers from a single point of compromise and failure which is detrimental to security and reliability. This chapter presents a framework with multiple SDN controllers and security controllers that provides a secure and robust smart grid architecture. The proposed framework deploys a local IDS to provide security in a substation. Whereas a global IDS is deployed to provide security in control center and overall smart grid network, it further verifies the consequences of control-commands issued by SDN controller and SCADA master. Performance comparison and simulation result show that the proposed framework is efficient as compared to existing security frameworks for SDN-enabled smart grids.

scholarly journals Vehicle Electrification: New Challenges and Opportunities for Smart Grids

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 118 ◽  
Author(s):  
Vitor Monteiro ◽  
Jose Afonso ◽  
Joao Ferreira ◽  
Joao Afonso
Keyword(s):  
Power Electronics ◽  
Smart Grids ◽  
New Technologies ◽  
Renewable Energy Sources ◽  
Grid Point ◽  
Electrical Power ◽  
Point Of View ◽  
Power Grids ◽  
Challenges And Opportunities ◽  
New Challenges

Nowadays, concerns about climate change have contributed significantly to changing the paradigm in the urban transportation sector towards vehicle electrification, where purely electric or hybrid vehicles are increasingly a new reality, supported by all major automotive brands. Nevertheless, new challenges are imposed on the current electrical power grids in terms of a synergistic, progressive, dynamic and stable integration of electric mobility. Besides the traditional unidirectional charging, more and more, the adoption of a bidirectional interconnection is expected to be a reality. In addition, whenever the vehicle is plugged-in, the on-board power electronics can also be used for other purposes, such as in the event of a power failure, regardless if the vehicle is in charging mode or not. Other new opportunities, from the electrical grid point of view, are even more relevant in the context of off-board power electronics systems, which can be enhanced with new features as, for example, compensation of power quality problems or interface with renewable energy sources. In this sense, this paper aims to present, in a comprehensive way, the new challenges and opportunities that smart grids are facing, including the new technologies in the vehicle electrification, towards a sustainable future. A theoretical analysis is also presented and supported by experimental validation based on developed laboratory prototypes.

scholarly journals Smart Grids and Machine Learning in Chinese and Western Intellectual Property Law

2021 ◽  
Author(s):  
Stefan Papastefanou
Keyword(s):  
Machine Learning ◽  
Intellectual Property ◽  
Smart Grids ◽  
Power Grids ◽  
Learning Technology ◽  
Property Law ◽  
Intellectual Property Law ◽  
Smart Systems ◽  
Basic Functions ◽  
The Right

AbstractHaving huge power grids successfully integrate sustainable energy sources requires a smart and flexible power grid management system. Such smart systems have to adapt fast and accurately to a great amount of data input – a task which is made easier by applying modern machine learning technology. Solutions crafted by dynamic and powerful computing algorithms have the potential to surpass human cognitive capabilities. The question arises whether and how intellectual property law can be used to set the right incentives. This paper initially describes the basic functions of smart grids and the corresponding necessity of machine learning. Subsequently, it will analyze the current approaches of the most relevant patent offices in dealing with the challenges of AI-related smart grid inventions. Ultimately, it will be demonstrated that the contemporary discussions fail to focus on practical considerations of market entry possibilities that might be more promising than the approach of creating new exclusionary intellectual property rights.

scholarly journals Authentication of Smart Grid

Cryptography ◽  
2020 ◽  
pp. 257-276
Author(s):  
Melesio Calderón Muñoz ◽  
Melody Moh
Keyword(s):  
Smart Grid ◽  
Communication Networks ◽  
Smart Grids ◽  
Mesh Networks ◽  
Quantum Computer ◽  
Electrical Power ◽  
Public Key Cryptography ◽  
Power Grids ◽  
Public Key ◽  
Self Healing

The electrical power grid forms the functional foundation of our modern societies, but in the near future our aging electrical infrastructure will not be able to keep pace with our demands. As a result, nations worldwide have started to convert their power grids into smart grids that will have improved communication and control systems. A smart grid will be better able to incorporate new forms of energy generation as well as be self-healing and more reliable. This paper investigates a threat to wireless communication networks from a fully realized quantum computer, and provides a means to avoid this problem in smart grid domains. We discuss and compare the security aspects, the complexities and the performance of authentication using public-key cryptography and using Merkel trees. As a result, we argue for the use of Merkle trees as opposed to public key encryption for authentication of devices in wireless mesh networks (WMN) used in smart grid applications.

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