Abstract:New communication technologies must be provided in order to improve the energy distribution and save electric power. As far as we know, there is not any network protocol designed exclusively for this purpose. In this paper, we present the design and simulation of a group-based protocol to improve the energy distribution in smart grids. We will show the group-based architecture and the protocol operation. Finally, we will show some measurements taken from a test bench in order to show it operation and test its … Show more
“…vehicle identity, user´s identity, vehicle type, vehicle location, and other information to be protected. On the other hand, group-based organization of EVs [31] allows to improve energy distribution in SGs.…”
Section: Discussionmentioning
confidence: 99%
“…H (B) measures the amount of information SAS has regarding B and H(B | A) is the conditional entropy that measures the amount of information necessary for SAS to describe B, since the value of A is known. Using probability notations p(a) and p(b), the previous equation can be rewritten as: 𝐼(𝐵; 𝐴) = ∑ 𝑝(𝑏) log 2 𝑝(𝑏) 𝑏 − ∑ 𝑝(𝑎, 𝑏) log 2 𝑝(𝑎) 𝑝(𝑎,𝑏) 𝑏(31) where p (a, b) is the joint probability distribution function of A and B. Since a uniform distribution is considered, 𝑝 (𝑎) = is defined as the probability of EV1 not recharging in 𝐴𝐺 𝑟𝑒𝑠𝑖𝑑𝑒𝑛𝑡 .The probability of EV 1 recharging in the zone of 𝐴𝐺 𝑣𝑖𝑠𝑖𝑡𝑎𝑛𝑡 despite belonging to the zone serviced by 𝐴𝐺 𝑟𝑒𝑠𝑖𝑑𝑒𝑛𝑡 is given by 𝑝(𝑏)…”
“…vehicle identity, user´s identity, vehicle type, vehicle location, and other information to be protected. On the other hand, group-based organization of EVs [31] allows to improve energy distribution in SGs.…”
Section: Discussionmentioning
confidence: 99%
“…H (B) measures the amount of information SAS has regarding B and H(B | A) is the conditional entropy that measures the amount of information necessary for SAS to describe B, since the value of A is known. Using probability notations p(a) and p(b), the previous equation can be rewritten as: 𝐼(𝐵; 𝐴) = ∑ 𝑝(𝑏) log 2 𝑝(𝑏) 𝑏 − ∑ 𝑝(𝑎, 𝑏) log 2 𝑝(𝑎) 𝑝(𝑎,𝑏) 𝑏(31) where p (a, b) is the joint probability distribution function of A and B. Since a uniform distribution is considered, 𝑝 (𝑎) = is defined as the probability of EV1 not recharging in 𝐴𝐺 𝑟𝑒𝑠𝑖𝑑𝑒𝑛𝑡 .The probability of EV 1 recharging in the zone of 𝐴𝐺 𝑣𝑖𝑠𝑖𝑡𝑎𝑛𝑡 despite belonging to the zone serviced by 𝐴𝐺 𝑟𝑒𝑠𝑖𝑑𝑒𝑛𝑡 is given by 𝑝(𝑏)…”
“…It contributes to the concept in analyzing, contrasting, and classifying the various blockchain consensus algorithms that are relevant to the DER transactions. In addition to this, research is being done on the application mode of the VPP smart contract and the inter Blockchain solution [ 116 ]. Fig.…”
Section: Virtual Power Plants As An Efficient Media For Integrating R...mentioning
“…They address some important issues, such as the communication protocol, data formats, the data gathering, and big data, that enable the architecture to be used in smart cities. Lloret et al [ 29 ] presented a group-based architecture and protocol to improve the energy distribution in smart grids. According to the authors, their approach is innovative because there is no protocol to manage power distribution in electrical systems.…”
At present, the standardisation of electrical equipment communications is on the rise. In particular, manufacturers are releasing equipment for the smart grid endowed with communication protocols such as DNP3, IEC 61850, and MODBUS. However, there are legacy equipment operating in the electricity distribution network that cannot communicate using any of these protocols. Thus, we propose an infrastructure to allow the integration of legacy electrical equipment to smart grids by using wireless sensor networks (WSNs). In this infrastructure, each legacy electrical device is connected to a sensor node, and the sink node runs a middleware that enables the integration of this device into a smart grid based on suitable communication protocols. This middleware performs tasks such as the translation of messages between the power substation control centre (PSCC) and electrical equipment in the smart grid. Moreover, the infrastructure satisfies certain requirements for communication between the electrical equipment and the PSCC, such as enhanced security, short response time, and automatic configuration. The paper’s contributions include a solution that enables electrical companies to integrate their legacy equipment into smart-grid networks relying on any of the above mentioned communication protocols. This integration will reduce the costs related to the modernisation of power substations.
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