Prosumers Matching and Least-Cost Energy Path Optimisation for Peer-to-Peer Energy Trading

Jogunola, Olamide; Wang, Weizhuo; Adebisi, Bamidele

doi:10.1109/access.2020.2996309

Cited by 32 publications

(16 citation statements)

References 24 publications

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“…A unique solution exist in (2) to compute the partial derivatives of δV i δP k and δV j δP k . Once they are obtained, the partial derivative of the voltage magnitude can be obtained via…”

Section: Network Constraintsmentioning

confidence: 99%

VirtElect: A Peer-to-Peer Trading Platform for Local Energy Transactions

Jogunola

Tsado

Adebisi

et al. 2022

IEEE Internet Things J.

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An average UK electricity bill is made up of at least 60% service charge, with approximately 22% related to network characteristics including distance charge. This makes distance and network constraints important factors in matching prosumers on any peer-to-peer energy trading platform as assessed in this paper. To realise that, A platform -V irtElect, based on a double auction market is developed to support the matching interaction between prosumers. Case studies based on real microgrid data are used to verify the performance of the platform in demonstrating the potential of local energy consumption. Results show that it is possible to balance local energy generation and consumption, with little or no interaction with the utility grid. We also show that local energy trading is not only beneficial to the environment but also leads to a significant amount of cost savings of up to 45%, depending on the number of participants and their ratios on the platform.

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Section: Network Constraintsmentioning

confidence: 99%

VirtElect: A Peer-to-Peer Trading Platform for Local Energy Transactions

Jogunola

Tsado

Adebisi

et al. 2022

IEEE Internet Things J.

Self Cite

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“…In the proposed setting, this is often enabled by secure smart-meters and a blockchain-based auction platform. With these tools, communities would become completely independent from commercial energy suppliers, as they could market and purchase their own energy locally (Long et al, 2018;Jogunola et al, 2020). Considered communities can be both virtual or organized in micro-grids.…”

Section: Need For Optimization In (Future) Energy Market Environmentsmentioning

confidence: 99%

Analysis and Application of Verifiable Computation Techniques in Blockchain Systems for the Energy Sector

Zeiselmair¹,

Steinkopf²,

Gallersdörfer³

et al. 2021

Front. Blockchain

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The energy system is becoming increasingly decentralized. This development requires integrating and coordinating a rising number of actors and small units in a complex system. Blockchain could provide a base infrastructure for new tools and platforms that address these tasks in various aspects—ranging from dispatch optimization or dynamic load adaption to (local) market mechanisms. Many of these applications are currently in development and subject to research projects. In decentralized energy markets especially, the optimized allocation of energy products demands complex computation. Combining these with distributed ledger technologies leads to bottlenecks and challenges regarding privacy requirements and performance due to limited storage and computational resources. Verifiable computation techniques promise a solution to these issues. This paper presents an overview of verifiable computation technologies, including trusted oracles, zkSNARKs, and multi-party computation. We further analyze their application in blockchain environments with a focus on energy-related applications. Applied to a distinct optimization problem of renewable energy certificates, we have evaluated these solution approaches and finally demonstrate an implementation of a Simplex-Optimization using zkSNARKs as a case study. We conclude with an assessment of the applicability of the described verifiable computation techniques and address limitations for large-scale deployment, followed by an outlook on current development trends.

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“…In other research conducted for [32], the distribution system operator was proposed to be responsible of marching bids and offers of local players in the LM. The authors of [33], proposed a slimemould-inspired optimization method to find best matches for offers and bids of peers in the LM.…”

Section: ) Local P2p Trading Modelsmentioning

confidence: 99%