A Blockchain Solution for Operational Parameters Monitoring Platform for DC Microgrids

Ariza, H.; Martínez-Santos, Juan Carlos; Payares, Esteban; Medina, M.; Domínguez-Jiménez, J.A.; Campillo, Javier

doi:10.1109/andescon50619.2020.9272035

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…Single feeder radial distribution topology with bidirectional power flow in a DC microgrid is simulated in Modelica [19]. This is interfaced via HTTP to Hyperledger Fabric which monitors the operational variables.…”

Section: Hyperledgermentioning

confidence: 99%

“…Apart from Ref. [19] which modeled the DC microgrid using Modelica [48], which employed TESP co-simulated with Hyper-Ledger Fabric in the loop and [20] which accounted for reactive optimal power flow solved using glow worm swarm optimizer, electrical constraints of the physical infrastructure have not been modeled in any of the works so far. Further more, none of the papers so far have included inter-microgrid and microgrid-main grid markets.…”

Section: Open-source Projectsmentioning

confidence: 99%

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Conceptualization of Blockchain Enabled Interconnected Smart Microgrids

Dinesha¹,

Balachandra²

2022

Preprint

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<p> Power systems are undergoing rapid transitions to incorporate renewable sources of generation and to combat climate change. Next stage of transitions will lead to a shift from large-scale, centralized systems to networks of smallsized, distributed electricity systems which require distributed or decentralized ledgers for database management for efficient transactions. Distributed Ledger Technology (DLT) are a form of decentralized ledgers where the transactions (energy, information and money) among various entities are maintained. One such DLT is blockchain technology which offers several advantages. Data recorded in blockchains are difficult to tamper with; have privacy protection; facilitate fast, accurate and real-time settlement of financial transactions. Contemporary research has started focusing on their possible applications in energy systems. State-of-the-art suggests that while business and market aspects have been extensively discussed, the electrical constraints and implementation methodologies have not been adequately addressed. Furthermore, all the reviewed projects have implemented only peer-to-peer transactions that are not scalable. To incorporate the new entities like prosumers, intermicrogrid transactions and interactions with the legacy power grid, new structural and operational frameworks are necessary. The proposed research explores the possibility of developing blockchain enabled smart microgrids (BSMG) with the above frameworks. It aims to build a conceptual framework of BSMG, including the transaction protocols and process flows. It proposes inclusion of network constraints in a three-levelled transaction setup which is executed over a four-layered architecture. Another practical challenge is that BSMGs may be set up on different blockchain platforms. Hence, this paper also proposes implementing Inter-Blockchain Protocol for the first time to include interoperability and communication between different platforms. Finally the performance metrics that will be used to validate the BSMGs are outlined. </p>

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Section: Hyperledgermentioning

confidence: 99%

Section: Open-source Projectsmentioning

confidence: 99%

Conceptualization of Blockchain Enabled Interconnected Smart Microgrids

Dinesha¹,

Balachandra²

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…2) HyperLedger: Single feeder radial distribution topology with bidirectional power flow in a DC microgrid is simulated in Modelica [19]. This is interfaced via HTTP to Hyperledger Fabric which is used to monitor the operational variables.…”

Section: Selected Existing Projects : a Reviewmentioning

confidence: 99%

“…Clustering of prosumers into functional smart microgrids has not been explored too. Apart from [19] which modeled the DC microgrid using Modelica, [48] which employed Transactive Energy Simulation Platform (TESP) co-simulated with HyperLedger Fabric in the loop and [20] which accounted for reactive optimal power flow solved using glow worm swarm optimizer, electrical constraints of the physical infrastructure have not been modeled in any of the works so far. Further more, none of the papers so far have included inter-microgrid and microgrid-main grid markets.…”

Section: Open-source Projectsmentioning

confidence: 99%