Abstract

The current energy landscape is largely comprised of big stakeholders, who are often the monopolistic drivers of their local market. This fact does not leave any room for smaller players to participate in this procedure by contributing their part in the energy pool. Moreover, the dynamic demand for power along with the current power production rate are not corelated, rendering the power distribution grid, a best effort network, prone to power failures, due to the inevitable irregularities in demand. This paper introduces a novel concept that allows small energy producers, such as solar panel grids, to offer their production excess through an intelligent energy brokerage blockchain-based framework. The proposed framework ingests the vast amounts of bigdata stemming from the distributed smart energy grids smart metering and allows for automatic commercial transactions of power between the participants of a dedicated marketplace. Values dynamically fluctuate depending on the real-time offer and demand and the grid’s state. Thus, all partaking stakeholders are able to take the most out of their product by leveraging the intelligence provided by the energy marketplace, and contribute to the overall stabilization of the energy grid.

Highlights

  • The way we interact with our world around us in almost every aspect of our lives, from how we monitor our environment to how we power our homes and communities is revolutionized, through the collection of vast amounts of information, from a variety of heterogeneous Internet of Things (IoT) devices [1] and Energy net metering [2], which can help to evolve and transform the electric Grid optimization [3]

  • These units, along with Power Factor Correctors are capable of correcting reactive power (Q) in addition to active power production, both for on-premises issues, and even more for Neighbor or Total Line issues. These gensets are off-line during any disturbance of the grid, not contributing to the system’s stability optimal performance. This modus operandi leaves a huge room for improvement, through which both the owner/consumers of the units as well as the whole nearby distribution network can benefit, resulting to the overall enhancement of the power network, and reaching the required power quality

  • Set Soptimal = S[b,v] //Random solution for algorithm initiation for each bid P(b)do //Iteration process in order to find the best solution if (S[b,v]) ≤ (S[b + 1, v + 1]) // Check if the current solution is better or not to the neighbour solution save the new solution (S[b + 1, v + 1]) to the best found end if end for return Best Solution. In this respect and to facilitate competition among Function Providers (EPRs) a novel brokerage platform is designed that will allow (i) the customers to search for available offerings, (ii) auctioning between the third-party function developers (EPRs) and the Energy Providers (EP), in order to find the best price for the Energy Services that will be part of each Energy Contract

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Summary

Introduction

The way we interact with our world around us in almost every aspect of our lives, from how we monitor our environment to how we power our homes and communities is revolutionized, through the collection of vast amounts of information, from a variety of heterogeneous Internet of Things (IoT) devices [1] and Energy net metering [2], which can help to evolve and transform the electric Grid optimization [3] This information can have an immediate impact towards the improvement of our wellbeing, by providing unprecedented insights on the intelligent and proactive control [4] and monitoring of how power is delivered from a powerplant and used throughout our communities. In this paper we present a novel unification of the edge that can be used for the optimization and the empowerment of small energy producers and the utilization of the data stemming from all energy producers and energy sensors of the network

System Description
Energy Store
Brokering Ability
Infrastructure Cost of Brokering
Brokering with an Energy Blockchain
Conclusions
Full Text
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