Design and implementation of UPnP-based energy gateway for demand side management in smart grid

Khan, Rafiullah; Khan, Shahbaz

doi:10.1016/j.jii.2017.07.001

Cited by 11 publications

(8 citation statements)

References 29 publications

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“…Table 2 summarizes protocols, standards and technologies within the scope of each category, and being commonly used as part of smart city initiatives. Some technologies covering both device and web service discovery can also be referenced, such as IoTBnB (IoT service puBlication and Billing) [56], [63], AllJoyn [40] and DPWS (Devices Profile for Web Services) [64].…”

Section: Device and Service Discoverymentioning

confidence: 99%

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bIoTope: Building an IoT Open Innovation Ecosystem for Smart Cities

et al. 2020

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The Internet of Things (IoT) has led towards a digital world in which everything becomes connected. Unfortunately, most of the currently marketed connected devices feed vertically-oriented closed systems (commonly referred to as vertical silos) which prevent the development of a unified global IoT. This issue is all the more valid in complex environments, such as smart cities, in which exceedingly large amounts of heterogeneous sensor data are collected, and in which platforms and stakeholders should also be able to interact and cooperate. Therefore, it is of utmost importance to move towards the creation of open IoT ecosystems to support efficient smart city service integration, discovery and composition. This paper contributes to the specifications of such an ecosystem, which has been developed as part of the EU's H2020 bIoTope project. The novelty of this ecosystem compared with the current literature is threefold: (i) it is based on the extensive use of open communication and data standards, notably O-MI and O-DF standards, that foster technical, syntactic and semantic interoperability over domains; (ii) it proposes an innovative service marketplace for data/service publication, discovery and incentivization; (iii) it integrates security functionalities at the IoT gateway level. The practicability of our ecosystem has been validated through several smart city proofs-of-concept set up in three distinct cities: Helsinki, Lyon and Brussels. Given the five major themes defined in the CITYKeys (a smart city performance indicator framework), namely People, Planet, Prosperity, Governance and Propagation, bIoTope mainly contributes to Prosperity-related metrics, as discussed in this paper.

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Section: Device and Service Discoverymentioning

confidence: 99%

“…UPnP Universal Plug and Play (UPnP) [39] is a set of protocols, presented by Open Connectivity Foundation (OCF). It uses Simple Service Discovery Protocol (SSDP) for discovery mechanisms [40].…”

Section: E Type Of Integrationmentioning

confidence: 99%

bIoTope: Building an IoT Open Innovation Ecosystem for Smart Cities

et al. 2020

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“…(i) Device discovery allows a machine (or user) to retrieve a list of IoT devices available in the residing network. The most widely-adopted technologies for device discovery are UPnP (Universal Plug and Play) [33], mDNS (multicast DNS) [34], and DLNA (Digital Living Network Alliance) [35]. (ii) Service discovery allows a machine (or user) to retrieve and understand services provided by the previously identified IoT devices or systems.…”

Section: B Discoverymentioning

confidence: 99%

“…The most common service discovery protocols are UDDI (Universal Description, Discovery, and Integration) [30], OWL (Web Ontology Language) [36], WSMO (Web Service Modeling Ontology) [37], and SPARQL [38]. Some technologies cover both device and service discovery, such as AllJoyn [33] and DPWS (Devices Profile for Web Services) [39].…”

Section: B Discoverymentioning

confidence: 99%

Scalable IoT Platform for Heterogeneous Devices in Smart Environments

et al. 2020

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The Internet of Things (IoT) is envisioned as a ubiquitous computing infrastructure in which everything becomes connected, enabling gigantic information exchange among Things and people. These connected smart Things generate an enormous amount of data which need to be efficiently managed to form a unified global IoT. Unfortunately, due to the lack of acceptable open standards, communication protocols, and support for device/service discovery, the recent IoT deployments in smart environments (e.g., smart home, smart building, smart city) are posing imperative challenges related to interoperability, discovery, and the configuration of deployed objects, since the number of objects is expected to grow over time. Therefore, it is of utmost importance to provide open and scalable solutions for the discovery of devices (i.e., Things), their configuration, and data management. This paper introduces an open and scalable IoT platform by adopting the modular characteristics of edge computing for smart environments. This paper: (i) performs a systematic literature review of IoT-based infrastructures and analyzes the scalability requirements; (ii) proposes a layered IoT platform for smart environments that fosters heterogeneity, interoperability, discovery, and scalability; and (iii) demonstrates the applicability of the proposed solution by relying on a comprehensive study of a Väre smart building use case at Aalto University.

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“…Additionally, huge distance among the generation stations, far end loads introduces new problems at monitor, measure and control the power grid. [2][3][4][5] Therefore, need for a smart system to overcome these challenges is being triggered. This smart system is called "smart grid" that means using enhanced the system of communication with computing technologies to enable and control the energy system grid.…”

Section: Introductionmentioning

confidence: 99%

A GBDT‐SOA approach for the system modelling of optimal energy management in grid‐connected micro‐grid system

Arumugam¹,

Kuppan²

2020

Int J Energy Res

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In this manuscript, a hybrid approach for energy management in grid connected MG system is proposed. The grid connected MG system has photovoltaic (PV), wind turbine (WT), micro turbine (MT), battery. The proposed hybrid approach is the consolidation of both the Gradient Boosting Decision Trees (GBDT) and Sandpiper Optimization Algorithm (SOA) and this way the proposed technique is named as GBDT-SOA. Here, at grid connected microgrid configuration the required load demand is ever monitored by the GBDT approach. The perfect combination of the MG is optimized by SOA considering the predicted load requirement. The fuel cost including grid power hourly power variation, operation and maintenance cost of the grid connected microgrid system is defined as the objective of the proposed technique. The constraints are power demand, renewable energy sources, state of charge of storage elements. Batteries have been used as an energy source, to stabilize and allow the renewable power system units to maintain running in a steady, stable output power. At that point, the proposed model is executed in MATLAB/ Simulink work site and the performance is analyzed with existing techniques, such as BFO, SOA and SSA. The efficiency of the sources like photovoltaic, wind turbine, micro turbine, and battery using proposed technique is 95.9375%, 92.113%, 94.387% and 93.7560%.

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Design and implementation of UPnP-based energy gateway for demand side management in smart grid

Cited by 11 publications

References 29 publications

bIoTope: Building an IoT Open Innovation Ecosystem for Smart Cities

bIoTope: Building an IoT Open Innovation Ecosystem for Smart Cities

Scalable IoT Platform for Heterogeneous Devices in Smart Environments

A GBDT‐SOA approach for the system modelling of optimal energy management in grid‐connected micro‐grid system

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