Communication Technologies, Networks, and Strategies for Practical Smart Grid Deployments: From Substations to Meters

2012 ◽  
pp. 257-292
Keyword(s):  
Smart Grid ◽  
Communication Technologies

Smart grid cyber-physical systems: communication technologies, standards and challenges

2021 ◽  
Author(s):  
A. V. Jha ◽  
B. Appasani ◽  
A. N. Ghazali ◽  
P. Pattanayak ◽  
D. S. Gurjar ◽  
...  
Keyword(s):  
Smart Grid ◽  
Communication Technologies ◽  
Cyber Physical Systems ◽  
Physical Systems

scholarly journals Cognitive Radio Based Sensor Network in Smart Grid: Architectures, Applications and Communication Technologies

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 19084-19098 ◽  
Author(s):  
Emmanuel U. Ogbodo ◽  
David Dorrell ◽  
Adnan M. Abu-Mahfouz
Keyword(s):  
Cognitive Radio ◽  
Smart Grid ◽  
Sensor Network ◽  
Communication Technologies

scholarly journals Smart Grid Communication Technologies

2016 ◽  
Vol 04 (08) ◽  
pp. 1-8 ◽  
Author(s):  
Dmitry Baimel ◽  
Saad Tapuchi ◽  
Nina Baimel
Keyword(s):  
Smart Grid ◽  
Communication Technologies ◽  
Smart Grid Communication

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.

scholarly journals A survey on smart grid communication system

2015 ◽  
Vol 4 ◽  
Author(s):  
Miles H.F. Wen ◽  
Ka-Cheong Leung ◽  
Victor O.K. Li ◽  
Xingze He ◽  
C.-C. Jay Kuo
Keyword(s):  
Smart Grid ◽  
Information And Communication Technologies ◽  
Communication System ◽  
Communication Systems ◽  
Communication Technologies ◽  
Power Electronic ◽  
Recent Developments ◽  
Information And Communication ◽  
Smart Grid Communication ◽  
Generation Power

Concerns with global warming prompted many governments to mandate increased proportion of electricity generation from renewable sources. This, together with the desire to have more efficient and secure power generation and distribution, has driven research in the next-generation power grid, namely, the smart grid. Through integrating advanced information and communication technologies with power electronic and electric power technologies, smart grid will be highly reliable, efficient, and environmental-friendly. A key component of smart grid is the communication system. This paper explores the design goals and functions of the smart grid communication system, followed by an in-depth investigation on the communication requirements. Discussions on some of the recent developments related to smart grid communication systems are also introduced.

scholarly journals Demand Response Management Algorithm for Distributed Multi-Utility Environment in Smart Grid

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Game Theory ◽  
Smart Grid ◽  
Information And Communication Technologies ◽  
Energy Management ◽  
Demand Response ◽  
Communication Technologies ◽  
Energy Market ◽  
Grid Environment ◽  
Utility Companies ◽  
Information And Communication

Effective usage of Information and Communication Technologies (ICT) has started with a paradigm shift in the energy management and functioning of the conventional power grid. It also aids in the maintenance of the complete information about consumer usage pattern, power storage, supply and regulation. Blending of information and communication technologies with energy management creates a smart grid environment which makes it move to the next horizon. The smart grid environment, uplifts renewable energy sources and brings out novel strategies in the energy market. The new functioning of the energy market attracts more utility companies for decentralized power generation and optimizes the power price for the consumer. The consumer plays an active role in the demand response modelling to maximize the welfare of the utility and to obtain the optimized price for their demand. In this paper, a novel demand response management scheme is proposed for multi-utility environment. The utility companies function in a peer to peer manner to communicate effectively and to select a specific utility from a set of utilities for the power supply. The selection of single utility is based on a non-cooperative game theory algorithm where the demand and generated power should be balanced to maximize the welfare of the utility and the residential consumers. The power price can be updated in an equal interval to allow all the utilities to participate in the Distributed Multi-Utility Demand Response Management (DMDRM) system. The simulated results justify that the distributed noncooperative game theory algorithm certainly maximizes the welfare of the utility companies and residential consumers.

Sign in / Sign up

Export Citation Format

Share Document