scholarly journals State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1030 ◽  
Author(s):  
Syed Saqib Ali ◽  
Bong Jun Choi
Keyword(s):  
Artificial Intelligence ◽  
Smart Grid ◽  
Power System ◽  
Energy Management ◽  
Smart Grids ◽  
State Of The Art ◽  
Energy Resources ◽  
Distributed Energy ◽  
Artificial Intelligence Techniques ◽  
Home Energy Management

The power system worldwide is going through a revolutionary transformation due to the integration with various distributed components, including advanced metering infrastructure, communication infrastructure, distributed energy resources, and electric vehicles, to improve the reliability, energy efficiency, management, and security of the future power system. These components are becoming more tightly integrated with IoT. They are expected to generate a vast amount of data to support various applications in the smart grid, such as distributed energy management, generation forecasting, grid health monitoring, fault detection, home energy management, etc. With these new components and information, artificial intelligence techniques can be applied to automate and further improve the performance of the smart grid. In this paper, we provide a comprehensive review of the state-of-the-art artificial intelligence techniques to support various applications in a distributed smart grid. In particular, we discuss how artificial techniques are applied to support the integration of renewable energy resources, the integration of energy storage systems, demand response, management of the grid and home energy, and security. As the smart grid involves various actors, such as energy produces, markets, and consumers, we also discuss how artificial intelligence and market liberalization can potentially help to increase the overall social welfare of the grid. Finally, we provide further research challenges for large-scale integration and orchestration of automated distributed devices to realize a truly smart grid.

scholarly journals Internet of Things Technologies for Smart Grid

2022 ◽  
pp. 805-832
Author(s):  
Imed Saad Ben Dhaou ◽  
Aron Kondoro ◽  
Syed Rameez Ullah Kakakhel ◽  
Tomi Westerlund ◽  
Hannu Tenhunen
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Smart Grids ◽  
Reference Model ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Reference Architecture ◽  
Distributed Energy ◽  
Research Gaps ◽  
Utility Company

Smart grid is a new revolution in the energy sector in which the aging utility grid will be replaced with a grid that supports two-way communication between customers and the utility company. There are two popular smart-grid reference architectures. NIST (National Institute for Standards and Technology) has drafted a reference architecture in which seven domains and actors have been identified. The second reference architecture is elaborated by ETSI (European Telecommunications Standards Institute), which is an extension of the NIST model where a new domain named distributed energy resources has been added. This chapter aims at identifying the use of IoT and IoT-enabled technologies in the design of a secure smart grid using the ETSI reference model. Based on the discussion and analysis in the chapter, the authors offer two collaborative and development frameworks. One framework draws parallels' between IoT and smart grids and the second one between smart grids and edge computing. These frameworks can be used to broaden collaboration between the stakeholders and identify research gaps.

scholarly journals Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant

2021 ◽  
Vol 20 ◽  
pp. 75-91
Author(s):  
Qing Yang ◽  
Hao Wang ◽  
Taotao Wang ◽  
Shengli Zhang ◽  
Xiaoxiao Wu ◽  
...  
Keyword(s):  
Power Plant ◽  
Power System ◽  
Energy Management ◽  
Energy Resources ◽  
Network Services ◽  
Distributed Energy Resources ◽  
Virtual Power ◽  
Distributed Energy ◽  
Virtual Power Plant ◽  
Management Platform

The advent of distributed energy resources (DERs), such as distributed renewables, energy storage, electric vehicles, and controllable loads, brings a significantly disruptive and transformational impact on the centralized power system. It is widely accepted that a paradigm shift to a decentralized power system with bidirectional power flow is necessary to the integration of DERs. The virtual power plant (VPP) emerges as a promising paradigm for managing DERs to participate in the power system. In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP. Specifically, users can interact with each other to trade energy for mutual benefits and provide network services, such as feed-in energy, reserve, and demand response, through the VPP. To respect the users’ independence and preserve their privacy, we design a decentralized optimization algorithm to optimize the users’ energy scheduling, energy trading, and network services. Then we develop a prototype blockchain network for VPP energy management and implement the proposed algorithm on the blockchain network. By experiments using real-world data trace, we validated the feasibility and e_ectiveness of our algorithm and the blockchain system. The simulation results demonstrate that our blockchain-based VPP energy management platform reduces the users’ cost by up to 38.6% and reduces the overall system cost by 11.2%.

scholarly journals An Overview of the Building Energy Management System Considering the Demand Response Programs, Smart Strategies and Smart Grid

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3299 ◽  
Author(s):  
Mohammad Shakeri ◽  
Jagadeesh Pasupuleti ◽  
Nowshad Amin ◽  
Md. Rokonuzzaman ◽  
Foo Wah Low ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Demand Response ◽  
Smart Grids ◽  
Management System ◽  
Management Systems ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Home Energy Management ◽  
Demand Response Programs

Electricity demand is increasing, as a result of increasing consumers in the electricity market. By growing smart technologies such as smart grid and smart energy management systems, customers were given a chance to actively participate in demand response programs (DRPs), and reduce their electricity bills as a result. This study overviews the DRPs and their practices, along with home energy management systems (HEMS) and load management techniques. The paper provides brief literature on HEMS technologies and challenges. The paper is organized in a way to provide some technical information about DRPs and HEMS to help the reader understand different concepts about the smart grid, and be able to compare the essential concerns about the smart grid. The article includes a brief discussion about DRPs and their importance for the future of energy management systems. It is followed by brief literature about smart grids and HEMS, and a home energy management system strategy is also discussed in detail. The literature shows that storage devices have a huge impact on the efficiency and performance of energy management system strategies.

scholarly journals Internet of Things Technologies for Smart Grid

2020 ◽  
pp. 256-284
Author(s):  
Imed Saad Ben Dhaou ◽  
Aron Kondoro ◽  
Syed Rameez Ullah Kakakhel ◽  
Tomi Westerlund ◽  
Hannu Tenhunen
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Smart Grids ◽  
Reference Model ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Reference Architecture ◽  
Distributed Energy ◽  
Research Gaps ◽  
Utility Company

Smart grid is a new revolution in the energy sector in which the aging utility grid will be replaced with a grid that supports two-way communication between customers and the utility company. There are two popular smart-grid reference architectures. NIST (National Institute for Standards and Technology) has drafted a reference architecture in which seven domains and actors have been identified. The second reference architecture is elaborated by ETSI (European Telecommunications Standards Institute), which is an extension of the NIST model where a new domain named distributed energy resources has been added. This chapter aims at identifying the use of IoT and IoT-enabled technologies in the design of a secure smart grid using the ETSI reference model. Based on the discussion and analysis in the chapter, the authors offer two collaborative and development frameworks. One framework draws parallels' between IoT and smart grids and the second one between smart grids and edge computing. These frameworks can be used to broaden collaboration between the stakeholders and identify research gaps.

scholarly journals Three-Party Energy Management With Distributed Energy Resources in Smart Grid

2015 ◽  
Vol 62 (4) ◽  
pp. 2487-2498 ◽  
Author(s):  
Wayes Tushar ◽  
Bo Chai ◽  
Chau Yuen ◽  
David B. Smith ◽  
Kristin L. Wood ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy

scholarly journals Artificial Intelligence Technique and Wireless Sensor Networks in Energy Management System for Secure Power Optimization

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ayuba John ◽  
Abdulazeez Yusuf ◽  
Abdulhamid Ardo
Keyword(s):  
Artificial Intelligence ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grid ◽  
Power System ◽  
Energy Management ◽  
Management System ◽  
Power Optimization ◽  
Wireless Sensor ◽  
And Control

The acquisition of data, the processing of those data for use by the operator, and control of remote devices are the fundamental building blocks of all modern utility control systems. Manual calculations, technical analysis and conclusions were initially adopted in power system design, operation and control. As the power system grow it become more complex due to the technical advancements, variety and dynamic requirements. Artificial intelligence is the science of automating intelligent behaviours currently achievable by humans. Intelligent system techniques may be of great help in the implementation of area power system controls. While smart grid can be considered as a modern electric power grid infrastructure for enhanced efficiency and reliability through automated control, high power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability, and so on. The big picture of the whole transmission grid, in the context of smart grids, is still unclear; and in Nigeria no studies have been put on ground in order for the existing network to be turn into a smart grid. In this research work emphasis is place on generation and transmission stations; power optimization using artificial intelligent techniques and wireless sensor networks for power control management system.

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