4 research outputs found

    Distributed ledger technologies for peer-to-peer local markets in distribution networks

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    The newest Distributed Ledger Technology platforms, which delegate the execution of complex tasks in the form of Smart Contracts, make it possible to devise novel local electricity market frameworks, which are performed in a fully automated fashion. This paper proposes a novel fully automated platform for energy and ancillary service markets in distribution networks, able to run in a decentralized fashion, bypassing the need for a physical central authority. The proposed platform, able to perform the role of Virtual Decentralized Market Authority, shows excellent potential applications in the management of local ancillary service markets in local energy communities of various sizes. The proposed Virtual Decentralized Market Authority showed reasonable running costs and comparable technical management capabilities with respect to a physical, centralized managing authority

    MAS-based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters:A Comprehensive Overview

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    A Distributed Gossip-based Voltage Control Algorithm for Peer-to-Peer Microgrids

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    As more distributed energy resources (DERs) such as PV generation, batteries and electrical vehicles are installed in the distribution grid, controlling the voltage to be within allowed limits is becoming a major challenge. A possible solution is to actively use the active and reactive power control capabilities of these DERs to keep the voltage within limits. For this purpose, new control algorithms have to be developed that are able to coordinate the DERs and allow them to participate in voltage control. In this perspective, this paper presents a novel voltage control algorithm, based on peer-to-peer control and gossiping communication. The proposed algorithm is able to operate in a distributed manner, with no central coordinator, thereby keeping all control local and eliminating any single point of failure. The algorithm can be executed asynchronously, with limited data exchange between the agents. A case study is presented, showing the ability of the proposed control algorithm to follow rapidly changing load profiles as encountered in the distribution grid, thereby keeping the voltage within tight limits.status: publishe
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