A Hierarchical Distributed Energy Management Agent Framework for Smart Homes, Grids, and Cities

Choi, Jin Seek

doi:10.1109/mcom.2019.1900073

Cited by 40 publications

(22 citation statements)

References 15 publications

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“…This is easily manipulated by users from different areas of knowledge [17,22,31,75,84,91,113]. Taking this into account, the energy management dashboards must faithfully virtualize the installed physical infrastructure [78,87] and provide updated information in real-time [20,78] with low latency [56] by integrating the energy management system with the other layers and management support blocks, including the energy market in real-time [114]. An opportunity to be disseminated is the implementation of support for the mobility of energy management systems, which makes it possible to manage energy systems using mobile devices [115].…”

Section: Applicationmentioning

confidence: 99%

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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The use of emerging technologies such as cloud computing, Internet of Things, and Big Data, is increasing as tools to assist the management of data and information related to energy systems grow. This allows for greater flexibility, scalability of solutions, optimization of energy use, and management of energy devices. In this sense, the objective of this research is to present the basic elements and requirements for the energy cloud and its management and discuss the main management challenges and opportunities for the development and diffusion of the energy cloud. This study was based on a systematic review carried out to identify the elements that compose the energy cloud and what is necessary for its management, and to list the challenges and opportunities that may be explored by researchers and practitioners. The results show that the layout for the energy cloud and its management can be structured in layers and management support blocks’ format. It was found that 70 basic elements make up the main layers and 36 basic elements make up the management support blocks. The findings of this article also provide insights into the technical, scientific, and management development necessary for the evolution of energy systems toward the cloud computing environment.

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Section: Applicationmentioning

confidence: 99%

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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“…The authors also described trade-offs between communication resources and control performance. Jink et al [78] designed a hierarchical distributed architecture and agent-based smart management that facilitates cooperation between homes and energy generation resources. The designed hierarchical architecture acts as a cloud and provides information and processing, data acquisition, and communication while the edge network makes autonomous decisions through an intelligent agent.…”

Section: E Distributed Energy Resourcesmentioning

confidence: 99%

What is Energy Internet? Concepts, Technologies, and Future Directions

et al. 2020

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The climate change crisis, exacerbated by the global dependency of fossil fuels, has brought significant challenges. In the medium to long term, extensive renewable-energy-based electrification is considered to be one of the most promising development paths to address these challenges. However, this is tangible only if the energy infrastructure can accommodate renewable energy sources and distributed energy resources, such as batteries and heat pumps, without adversely affecting power grid operations. To realize renewable-energy-based electrification goals, a new concept-the Energy Internet (EI)-has been proposed, inspired by the most recent advances in information and telecommunication network technologies. Recently, many measures have also been taken to practically implement the EI. Although these EI models share many ideas, a definitive universal definition of the EI is yet to be agreed. Additionally, some studies have proposed protocols and architectures, but a generalized technological overview is still missing. An understanding of the technologies that underpin and encompass the current and future EI is very important to push toward a standardized version of the EI that will eventually make it easier to implement it across the world. In this paper, we first examine and analyze the typical popular definitions of the EI in scientific literature. Based on definitions, assumptions, scope, and application areas, the scientific literature is then classified into four different groups representing the way in which the papers have approached the EI. Then, we synthesize these definitions and concepts, and keeping in mind the future smart grid, we propose a new universal definition of the EI. We also identify the underlying key technologies for managing, coordinating, and controlling the multiple (distributed or not) subsystems with their own particular challenges. The survey concludes by highlighting the main challenges facing a future EI-based energy system and indicating core requirements in terms of system complexity, security, standardization, energy trading and business models and social acceptance.

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“…This is because proper communication architecture can deliver a large amount of operation data, communications, processing, and control for the remote monitoring for grids and the consumptions through the communication infrastructure. Figure 1 presents a hierarchical distributed communication infrastructure for the smart grid that includes smart homes and the communication architecture from the perspective of generation, transmission, distribution, and consumption [2]. The architecture considers SCADA, PMUs, massive-scale SMs, and SMDs to obtain and measure the voltage amplitude, current phasor, and power quality of generation and distribution information at a high sampling level of effectiveness in controlling, estimating, and ongoing checking of the keen matrix.…”

Section: Introductionmentioning

confidence: 99%

“…(1) The communication framework and the delay modeling with the timing mechanism (2) The key determinant performance factors are total measured delay, and real-time delays are modeled and analyzed the performance focusing propagation delays, receive delays, initial delays, skews, and phasor offsets parameters…”

Section: Introductionmentioning

confidence: 99%

Communication Delay Modeling for Wide Area Measurement System in Smart Grid Internet of Things Networks

Hasan

Islam

Shafiq

et al. 2021

Wireless Communications and Mobile Computing

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We present communication frameworks, models, and protocols of smart grid Internet of Things (IoT) networks based on the IEEE and IEC standards. The measurement, control, and monitoring of grid being achieved through phasor measurement unit (PMU) based wide area measurement (WAM) framework. The WAM framework applied the IEEE standard C37.118 phasor exchange protocol to collect grid data from various substation devices. The existing frameworks include the IEC 61850 protocol and programmable logic controllers (PLCs) based supervisory control and data acquisition (SCADA) system. These protocols have been selected as per the smart grid configuration and communication design. However, the existing frameworks have severe synchronization errors due to the communication delays of IoT networks in the smart grid. Therefore, this article designs the timing mechanism and a delay model to reduce the timing delay and boost real-time measurement, monitoring, and control performance of the smart grid WAM applications. The result shows that the proposed model outperformed the existing WAM system.

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A Hierarchical Distributed Energy Management Agent Framework for Smart Homes, Grids, and Cities

Cited by 40 publications

References 15 publications

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

What is Energy Internet? Concepts, Technologies, and Future Directions

Communication Delay Modeling for Wide Area Measurement System in Smart Grid Internet of Things Networks

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