A survey on the communication architectures in smart grid

Wang, Wenye; Xu, Youzhi; Khanna, Mohit

doi:10.1016/j.comnet.2011.07.010

Cited by 671 publications

(415 citation statements)

References 72 publications

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“…Note that each user may be a single stand alone family house, an unit in a block of apartments or an office building, etcetera. We also assume a total of M microgrids (MG) numbered from 1 For the macrogrid, we assume that all power users are independent and adopt the following algorithm [22]. We set up a simulation in which the number of time slots is set to 24 and vary the number of power requests.…”

Section: B: Hierarchical Power Scheduling Algorithmmentioning

confidence: 99%

A smart grid based algorithm for improving energy efficiency of large scale cooperating distributed systems

Nleya

Mutsvangwa

Dewa

2016

2016 IEEE PES PowerAfrica

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Abstract-A smart grid (SG) is a sophisticatedly integrated hybrid power generating system which allows bidirectional energy as well as management data exchanges. In this paper we look at improving energy efficiency in large scale cooperating power consuming as well as power generating systems. We discuss a clustered as well as hierarchical power scheduling algorithms that are geared towards optimizing the management of power tariffs, storage and distribution in a cooperative environment. From a generation perspective, solar intensity prediction is proposed for power generation forecasting and whereas from a power consumption perspective, we evaluate and model the power consumed by these distributed systems (consumers) and propose improving resource allocation, scheduling and network traffic management so as to make network and computing resources more power efficient.Keywords-energy management and demand response, hybrid power generating sources, power consuming systems, smart grid.

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Section: B: Hierarchical Power Scheduling Algorithmmentioning

confidence: 99%

A smart grid based algorithm for improving energy efficiency of large scale cooperating distributed systems

Nleya

Mutsvangwa

Dewa

2016

2016 IEEE PES PowerAfrica

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“…It is an advanced electrical infrastructure with bidirectional flow of electricity and information. The smart grid gives the utility companies and the consumers more flexibility to produce and consume electricity [1].…”

Section: Introductionmentioning

confidence: 99%

“…The idea behind DLC is to enable access to devices which can have a significant power usage and therefore be controlled to lower power consumption on a the local power grid or when having an overproduction of power, to be able to turn on the devices to take away load on the grid [2]. Devices which can be used to shift load on the grid are called distributed energy resources, (D.E.R), because they are distributed resources and some of them belong to customers [1]. DER's can be electric cars, freezers, heat pumps etc.…”

Section: Introductionmentioning

confidence: 99%

Bandwidth analysis of smart meter network infrastructure

Balachandran

Olsen

Pedersen

2014

16th International Conference on Advanced Communication Technology

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Abstract-Advanced Metering Infrastructure (AMI) is a network infrastructure in Smart Grid, which links electricity customers to utility company. Compared to a network where different amount of data is send, AMI network sends small amount of data at different time intervals. This network enables smart services by making it possible for the utility company to get an overview of their customers power consumption and also control devices in their costumers household e.g. heat pumps. The problem investigated in this paper is what bandwidth requirements can be expected when implementing such network to utilize smart meters and which existing broadband network technologies can facilitate this smart meter service. Initially, scenarios for smart meter infrastructure are identified. The paper defines abstraction models which cover the AMI scenarios. A general overview of the bandwidth requirements are analysed. For this analysis assumptions and limitations are defined. The results show the bandwidth provided by GPRS technology is sufficient. However, from a delay point of view, GPRS has its limits, therefore, xDSL or 3G can be used for faster transfer but will rarely utilize the available bandwidth from these technologies. The aggregator which is responsible to collect all the data from the different smart meters can become a bottleneck as the aggregated amount of data is high, thus the bandwidth for the data concentrator has to be high. These results are interesting to look at, as they show there are different bandwidth requirements from a smart meter and aggregator point of view and that, the aggregator is a vital element in the network and it has to be studied further.

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“…For instance, the wireless networking standard IEEE 802. 15.4g has been defined for large scale process control applications such as smart grid sensing and control [3], and wireless networks are expected to serve as major communication infrastructures in neighborhood area networks and home area networks of the smart grid [23,19,53,49]. In addition, wireless networking standards such as the IEEE 802.15.4e, WirelessHART, and ISA SP100.11a have been defined for industrial monitoring and control [4,11,45], wireless sensor networks have been deployed for industrial automation [35,50], and the automotive industry has also been exploring the application of wireless networks to vehicle sensing and control [20,46].…”

Section: Introductionmentioning

confidence: 99%