For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid

Galli, Stefano; Scaglione, Anna; Wang, Zhifang

doi:10.1109/jproc.2011.2109670

Cited by 886 publications

(497 citation statements)

References 107 publications

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“…To robustly achieve these goals, a Smart Grid is expected to be equipped with reliable two-way communication systems. Although the debate on the most adequate communication technologies is still open [5], investments on communication systems enabling Smart Grid technologies are estimated to be between 85 and 192 billions of dollars for USA, by 2030 [6]. Despite the significant potential savings [7], it is still not clear who should sustain these development costs.…”

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confidence: 99%

“…For example, in the context of the Advanced Metering Infrastructure, "The brute force solution of polling all the sensors can become the true bottleneck for the sheer problem of collecting all the data in a timely way" moreover, "Delivering messages to Smart Grid terminals through many relays will produce a broadcast storm if protocols to support this function are not designed judiciously" (quoted from [5]). …”

mentioning

confidence: 99%

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Restricted Neighborhood Communication Improves Decentralized Demand-Side Load Management

Giusti

Salani

et al. 2014

IEEE Trans. Smart Grid

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Abstract-We address demand-side management of dispatchable loads in a residential microgrid by means of decentralized controllers deployed in each household. Controllers simultaneously optimize two possibly conflicting objectives: minimization of energy costs for the end user (considering a known, timedependent tariff) and stabilization of the aggregate load profile (load flattening). The former objective can be optimized independently by each controller. On the other hand, the latter could benefit from a communication infrastructure that allows the controllers to explicitly exchange information and coordinate.To study how different levels of communication pervasiveness affect system performance, we developed a realistic microsimulation environment accounting for the behavior of residents, dispatchable and non-dispatchable household loads, and the effects on the distribution network. We considered a generic model of communication among household controllers, not tied to any specific technology, and based on the partitioning of the households in a number of groups (neighborhoods). Controllers within the same neighborhood enjoy full connectivity, but cannot interact with controllers outside of their neighborhood. Through extensive simulation experiments, we observed that even communication neighborhoods constituted by as few as 3-4 households are sufficient to effectively stabilize the aggregate network load profile, with minimal bandwidth consumption. Increasing the neighborhood size leads to comparatively negligible performance improvements. We conclude that effective load flattening can be achieved with minimal requirements of communication infrastructure and transmitted information.

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confidence: 99%

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confidence: 99%

Restricted Neighborhood Communication Improves Decentralized Demand-Side Load Management

Giusti

Salani

et al. 2014

IEEE Trans. Smart Grid

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“…Furthermore, Mohagheghi et al (2010) In addition to these aforementioned publications on DR systems, there are a number of publications dealing with different aspects of smart grids in general. For our purpose, the topics of smart metering and advance metering infrastructures are particularly interesting (e. g. Galli et al, 2011;Gungor et al, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Data within an AMI can be transferred through various types of communication technology (see e. g. Fan et al, 2013;Khalifa et al, 2011;Lo and Ansari, 2011). However, mobile phone networks (GSM and its successors) and power line carriers (PLC) are regarded as the most suitable technologies for smart grid applications (see e. g. Galli et al, 2011;Gungor et al, 2011;Llaria et al, 2013). They combine cost-effectiveness and bandwidth, while not requiring the installation of additional cables.…”

Section: Communication Technology For Demand Response Systemsmentioning

confidence: 99%

Value and granularity of ICT and smart meter data in demand response systems

2016

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The large-scale integration of intermittent resources of power generation leads to unprecedented fluctuations on the supply side. An electricity retailer can tackle these challenges by pursuing strategies of flexible load shifting -socalled demand response mechanisms. This work addresses the associated tradeoff between ICT deployment and economic benefits. The ICT design of a demand response system serves as the basis of a cost-value model, which incorporates all relevant cost components and compares them to the expected savings of an electricity retailer. Our analysis is based on a typical German electricity retailer to determine the optimal read-out frequency of smart meters. For our set of parameters, a positive information value of smart meter read-outs is achieved within an interval of 21 to 57 minutes regarding variable costs.Electricity retailers can achieve a profitable setting by restricting smart meter roll-out to large customers.

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“…In particular, PLC techniques may fail to connect every single household (or substation) of the grid due to the strong attenuation of the communication signal [5]. Furthermore, interference is a salient issue for PLC in distribution grids as the spectrum is unregulated [6], [7]. As for wireless communication, the main challenges are related with transmission media characteristics, including signal fading, noise, and path loss.…”

Section: Introductionmentioning

confidence: 99%

Network coding in Smart Grids

Phulpin

Barros

Lucani

2011

2011 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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Abstract-Seeking to meet the resilience, efficiency and security challenges of smart grid communications, we present a set of strategies that leverage the benefits of network coding. The key idea is for intermediate nodes in the electrical power grid to store and send linear combinations of data packets they receive or overhear, thus ensuring that critical data can be shared reliably with the grid control system even when some of the connections break down. The impact of network coding on the reliability of multicast channels for control messages is also addressed. Our preliminary analysis of the achievable connectivity with different topologies and communication technologies (power-line and wireless) indicates that network coding techniques are well suited for smart grid communications.

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For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid

Cited by 886 publications

References 107 publications

Restricted Neighborhood Communication Improves Decentralized Demand-Side Load Management

Restricted Neighborhood Communication Improves Decentralized Demand-Side Load Management

Value and granularity of ICT and smart meter data in demand response systems

Network coding in Smart Grids

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