Real-Time Demand Response Using NB-IoT

Sultania, Ashish Kumar; Mahfoudhi, Farouk; Famaey, Jeroen

doi:10.1109/jiot.2020.3004390

Cited by 42 publications

(22 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, latencies will be artificially injected to determine the maximum allowable communication latencies between the grid frequency measurement device, aggregator, and geographically distributed resources (contribution 3 in Section 1). Sultania et al [15] found that NB-IoT enabled devices can be controlled for demand response purposes with a maximum latency less than 8 s and 2 s, within a deep-indoor environment and an outdoor environment, respectively. Thus, our setup will investigate latencies of up to 10 s.…”

Section: Validation Methodologymentioning

confidence: 99%

“…For low power IoT applications, narrowband-IoT (NB-IoT) is an economical communication solution between the aggregator and the energy resources. The observed latencies in the range 2 to 8s are sufficient for demand response applications in general [15], and this paper will investigate the impact of such delays on meeting PFR performance requirements and stability requirements. If sufficiently low latencies cannot be achieved, it is possible to avoid the need for real-time communication between the aggregator and the resources by installing grid frequency measurement equipment alongside each distributed energy resource [16].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validating the Real-Time Performance of Distributed Energy Resources Participating on Primary Frequency Reserves

2021

View full text Add to dashboard Cite

A significant body of research has emerged for adapting diverse intelligent distributed energy resources to provide primary frequency reserves (PFR). However, such works are usually vague about the technical specifications for PFR. Industrial practitioners designing systems for PFR markets must pre-qualify their PFR resources against the specifications of the market operator, which is usually a transmission system operator (TSO) or independent system operator (ISO). TSO and ISO requirements for PFR have been underspecified with respect to real-time performance, but as fossil-fuel based PFR is being replaced by various distributed energy resources, these requirements are being tightened. The TSOs of Denmark, Finland, Norway, and Sweden have recently released a joint pilot phase specification with novel requirements on the dynamic performance of PFR resources. This paper presents an automated procedure for performing the pre-qualification procedure against this specification. The procedure is generic and has been demonstrated with a testbed of light emitting diode (LED) lights. The implications of low bandwidth Internet of Things communications, as well as the need to avoid abrupt control actions that irritate human users, have been investigated in the automated procedure.

show abstract

Section: Validation Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validating the Real-Time Performance of Distributed Energy Resources Participating on Primary Frequency Reserves

2021

View full text Add to dashboard Cite

show abstract

“…The Fibaro Wall Plug measures the energy consumption of connected electrical appliances and reports it via the Z-Wave. It also turns on or off the power to devices connected to this plug according to the instructions [ 29 ].…”

Section: Methodsmentioning

confidence: 99%

Resistance of IoT Sensors against DDoS Attack in Smart Home Environment

Huraj

Šimon

Horák

2020

Sensors

View full text Add to dashboard Cite

Smart devices along with sensors are gaining in popularity with the promise of making life easier for the owner. As the number of sensors in an Internet of Things (IoT) system grows, a question arises as to whether the transmission between the sensors and the IoT devices is reliable and whether the user receives alerts correctly and in a timely manner. Increased deployment of IoT devices with sensors increases possible safety risks. It is IoT devices that are often misused to create Distributed Denial of Service (DDoS) attacks, which is due to the weak security of IoT devices against misuse. The article looks at the issue from the opposite point of view, when the target of a DDoS attack are IoT devices in a smart home environment. The article examines how IoT devices and the entire smart home will behave if they become victims of a DDoS attack aimed at the smart home from the outside. The question of security was asked in terms of whether a legitimate user can continue to control and receive information from IoT sensors, which is available during normal operation of the smart home. The case study was done both from the point of view of the attack on the central units managing the IoT sensors directly, as well as on the smart-home personal assistant systems, with which the user can control the IoT sensors. The article presents experimental results for individual attacks performed in the case study and demonstrates the resistance of real IoT sensors against DDoS attack. The main novelty of the article is that the implementation of a personal assistant into the smart home environment increases the resistance of the user’s communication with the sensors. This study is a pilot testing the selected sensor sample to show behavior of smart home under DDoS attack.

show abstract

“…Unlicensed technologies should be considered (in addition to licensed options) if QoS/reliability is not needed. Other wireless technologies such as ZigBee, Wifi, and Z-wave are alternatively used to support short-range applications but are categorised as power-hungry technologies [57].…”

Section: Low-power Cellular Technologies For Iotmentioning

confidence: 99%

Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

2021

View full text Add to dashboard Cite

Recently, Internet of Things (IoT) deployments have shown their potential for aiding the realisation of the Sustainable Development Goals (SDGs). Concerns regarding how the IoT can specifically drive SDGs 6, 11 and 9 in developing countries have been raised with respect to the challenges of deploying licensed and unlicensed low-power wide area network (LPWAN) IoT technologies and their opportunities for IoT consumers and service providers. With IoT infrastructure and protocols being ubiquitous and each being proposed for different SDGs, we review and compare the various performance characteristics of LoRaWAN and NB-IoT networks. From the performance analysis of our networks, NB-IoT, one of the standardised promising cellular IoT solutions for developing countries, is more expensive and less energy-efficient than LoRaWAN. Utilising the same user equipment (UE), NB-IoT consumed an excess of 2 mAh of power for joining the network and 1.7 mAh more for a 44-byte uplink message compared to LoRaWAN. However, NB-IoT has the advantage of reliably and securely delivering higher network connection capacity in IoT use cases, leveraging existing cellular infrastructure. With a maximum throughput of 264 bps at 837 ms measured latency, NB-IoT outperformed LoRaWAN and proved robust for machine-type communications. These findings will help IoT consumers and service providers understand the performance differences and deployment challenges of NB-IoT and LoRaWAN and establish new research directions to tackle IoT issues in developing countries. With Nigeria as a case study, for consumers and organisations at a crossroads in their long-term deployment decisions, the proposed LPWAN integrated architecture is an example of the deployment opportunities for consumer and industrial IoT applications in developing countries.

show abstract

Real-Time Demand Response Using NB-IoT

Cited by 42 publications

References 27 publications

Validating the Real-Time Performance of Distributed Energy Resources Participating on Primary Frequency Reserves

Validating the Real-Time Performance of Distributed Energy Resources Participating on Primary Frequency Reserves

Resistance of IoT Sensors against DDoS Attack in Smart Home Environment

Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

Contact Info

Product

Resources

About