IoT-enabled Microgrid for Intelligent Energy-aware Buildings: A Novel Hierarchical Self-consumption Scheme with Renewables

Wu, Yanpeng; Wu, Ying; Guerrero, Josep M.; Vasquez, Juan C.; Palacios-García, Emilio José; Guan, Yajuan

doi:10.3390/electronics9040550

Cited by 21 publications

(13 citation statements)

References 22 publications

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“…Network operators use AI software to assess the thousands of variables involved in energy distribution and consumption. Examples of this are the wind and solar industries which were developed to support the development of smart grids to maximize energy production on cloudy and windless days (Sarker et al, 2020;Wu et al, 2020). However, characterizing this technological innovation which is, after all, the core competence of the energy sector, may not be as damaging as it seems at first sight.…”

Section: Literature Reviewmentioning

confidence: 99%

5G Wireless Networks in the Future Renewable Energy Systems

et al. 2021

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This paper focuses on the strategies that employ the fifth generation (5G) wireless networks in the optimal management of demand-side response in the future energy systems with the high penetration of renewable energy sources (RES). It also provides a comparison between advantages and challenges of 5G networks in demand-response renewable energy grids. Large-scale renewable energy integration always leads to a mismatch between generation and load demand in the short run due to the intermittency. It is often envisioned that 5G wireless networks that were recently launched and would most likely be fully deployed worldwide by 2035 would bring many technological and economic benefits for a plethora of the future high-renewables grids featuring electric transport and heating as well as prosumers generating renewable energy and trading it back to the grid (for example, in the vehicle-to-grid (V2G) framework) and among themselves using peer-to-peer (P2P) networks. Our paper offers a comprehensive analysis of 5G architecture with the perspectives of optimal management of demand-side response in the smart grids of the future. We show that the effective deployment of faster and more reliable wireless networks would allow faster data transfers and processing, including peer-to-peer (P2P) energy trade market, Internet of Vehicles (IoV) market, or faster smart metering, and thence open the path for the full-fledged Internet of Energy (IoE). Moreover, we show that 5G wireless networks might become in the future sustainable energy systems paving the road to even more advanced technologies and the new generations of networks. In addition, we demonstrate that for the effective management of energy demand-side response with a high share of renewables, certain forms of governments funding and incentives might be needed. These are required to strengthen the support of RES and helping to shift to the green economy.

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Section: Literature Reviewmentioning

confidence: 99%

5G Wireless Networks in the Future Renewable Energy Systems

et al. 2021

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“…(8) Microgrid-Enabled Intelligent Buildings (MGIB) Wu et al in [24] proposed Microgrid-Enabled Intelligent Buildings, which is inspired by the FIWARE framework. This scheme aims to achieve energy digitization and automation with its own renewable energy consumption strategy.…”

Section: (7) Synchronous Firefly Algorithmmentioning

confidence: 99%

“…Protocol Designs for Clustering LEACH-TLCH (2013) [17] Using two level cluster head to balance the energy consumption LEACH-AEC (2013) [18] Using residual energy and distance information in CH selection LEACH-EECHS (2014) [19] Using residual energy and node density information in CH selection EE-LEACH (2015) [20] Using model and intra cluster residual energy information in CH selection DHM (2013) [21] Using algorithm inspired by honey bee for optimal clustering FPOA (2014) [22] Using algorithm inspired by flower pollination for optimal clustering SFA (2015) [23] Using algorithm inspired by firefly for optimal clustering MGIB (2020) [24] Using FIWARE framework achieve a renewable energy consumption…”

Section: Energy Harvestingmentioning

confidence: 99%

A Comprehensive Review on Network Protocol Design for Autonomic Internet of Things

et al. 2021

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The autonomic Internet of Things is the creation of self-management capability in the Internet of Things system by embedding some autonomic properties, with the goal of freeing humans from all detail of the operation and management of the system. At same time, this provides a system to always operate on the best performance. This paper presents a review of the recent studies related to the design of network communication protocol, which can support autonomic Internet of Things. Many of the studies come from the research and development in Wireless Sensor Network protocols, as it becomes one of the key technologies for the Internet of Things. The identified autonomic properties are self-organization, self-optimization, and self-protection. We review some protocols with the objective of energy consumption reduction and energy harvesting awareness, as it can support the self-energy-awareness property. As the result, the protocol designs are mapped according to each autonomic property supported, including protocols for MAC layer, protocols for clustering, protocols for routing, and protocols for security. This can be used to map the advances of communication protocol research for the autonomic Internet of Things and to identify the opportunities for future research.

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“…In recent days, internet-based low-cost supervisory control and data acquisition (SCADA) are used to communicate and control a microgrid locally or remotely [17,18]. Over the past few years, there has been a growing awareness regarding the concept of the Internet of Things (IoT), which involves connecting to the internet various objects surrounding us in everyday life [19,20]. The primary basis of this concept is closely related to networking for smart cities, and this approach is increasingly enhancing the quality of life by contributing to streamlining resource consumption and protecting the environment [21,22].…”

Section: Introductionmentioning

confidence: 99%

“…The remote monitoring and control of microgrids become easier to implement by using this platform. Different papers have established the microgrid management system using the IoT-based platform [19].…”

Section: Introductionmentioning

confidence: 99%

Field-Validated Communication Systems for Smart Microgrid Energy Management in a Rural Microgrid Cluster

et al. 2021

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This paper demonstrates a smart energy management scheme for solar photovoltaic-biomass integrated grid-interactive microgrid cluster system. Three interconnected microgrids were chosen as a cluster of microgrids for validation of the proposed community energy management scheme. In this work, a Global System for Mobile (GSM)-based bidirectional communication technique was adopted for real-time coordination among the renewable energy sources and loads. To realize the common phenomenon of local grid outage in rural distribution networks, a practical case study is designed in this work. The optimized scheduling of the energy sources and loadsof different microgrids and the distribution grid were implemented to ensure zero loss of power supply probability (LPSP) for dynamic load profiles. The laboratory-scale prototype of the proposed microgrid clustering was first developed in this work by establishing real-time communication among multiple energy sources and loads through different energymeters located at different places inside the academic campus. The field validation was performed with a microgrid cluster consisting of 45 kWP solar photovoltaic, 50 kVA biogas plant, community loads in a village. The developed smart energy management solution is a generalized one and applicable to satisfy scalable community energy demands as well.

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IoT-enabled Microgrid for Intelligent Energy-aware Buildings: A Novel Hierarchical Self-consumption Scheme with Renewables

Cited by 21 publications

References 22 publications

5G Wireless Networks in the Future Renewable Energy Systems

5G Wireless Networks in the Future Renewable Energy Systems

A Comprehensive Review on Network Protocol Design for Autonomic Internet of Things

Field-Validated Communication Systems for Smart Microgrid Energy Management in a Rural Microgrid Cluster

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