A multi-agent system for energy trading between prosumers

Vinyals, Meritxell; Velay, Maxime; Sisinni, Mario

doi:10.1007/978-3-319-62410-5_10

Cited by 12 publications

(10 citation statements)

References 4 publications

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“…DRIvE and Mas2tering projects develop a decentralised solution based on multi-agent systems to manage residential and tertiary flexibility [4]. Each stakeholder (prosumers, aggregator, etc.)…”

Section: Multi-agent System Optimization For Local Energy Communitiesmentioning

confidence: 99%

Putting Residential Flexibility Management into Action with Pilot Sites in Europe: From Mas2tering to DRIvE Projects

Robbe

Vinyals

Lodeweyckx³

et al. 2018

Sustainable Places 2018

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The Mas2tering and DRIvE European projects develop a software platform to manage the residential and tertiary energy flexibility in local communities of prosumers. This platform includes forecasting, optimization, cybersecurity and fast-response capabilities modules. Business models and use cases were developed, taking into account the regulatory challenges. The platform will be implemented in five pilot sites across three countries.

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Section: Multi-agent System Optimization For Local Energy Communitiesmentioning

confidence: 99%

Putting Residential Flexibility Management into Action with Pilot Sites in Europe: From Mas2tering to DRIvE Projects

Robbe

Vinyals

Lodeweyckx³

et al. 2018

Sustainable Places 2018

Self Cite

View full text Add to dashboard Cite

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“…In more detail, ADMM can be viewed as a version of the method of multipliers in which separable min-imization steps over different primal variables are performed in successive alternating steps, instead of the usual joint minimization. ADMM-based methods have been applied to solve the augmented Lagrangian decompositions of a wide variety of large-scale power system optimization problems [13,14,15,16,17,18,19,20,21,22,23], including the SCOPF problem [24,25,26], in a fully distributed manner. However, none of the above-cited works takes into account the automatic primary frequency control (PFC) of generators.…”

Section: Introductionmentioning

confidence: 99%

Fully distributed security constrained optimal power flow with primary frequency control

Velay

Vinyals

Bésanger

et al. 2019

International Journal of Electrical Power & Energy Systems

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Primary frequency control is the automatic mechanism implemented on power systems to regulate the power balance through frequency and hence, its action should be taken into account when modeling any contingency state leading to a modification of the active power balance (e.g. generator failures). This paper presents a fully distributed method to solve the DC security constrained power flow (DC-SCOPF) that takes into account the automatic primary frequency response of generators after an incident. In more detail, we extend existing distributed DC-SCOPF formulations by: (1) introducing a new variable representing the frequency deviation; and (2) enhancing the local problem of each generator to consider how it adjusts its production after each contingency following its primary frequency regulation curve. The computation of the frequency deviations in the DC-SCOPF problem is formulated into a suitable form (i.e. in the form of a general consensus problem) so that smaller problems, corresponding to individual sub-regions or actors, can be solved and coordinated via the alternating direction method of multipliers (ADMM) in a distributed manner. In this way, actors of the system do not need to exchange any confidential information with other actors during the optimization procedure. A salient feature of our approach is that it can consider contingencies that lead to area separation without any prior specification of the topology and thus can adapt to many kinds of situations that are of interest in interconnected systems. Extensive simulation results on several standard IEEE systems show the good performance of the proposed model and algorithm in terms of convergence speed and accuracy as well as its capacity to deal with the disconnection of areas in interconnected systems.

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“…Limited research has been conducted on developing a scalable real-time framework for coordinating scheduling, sharing, and matching tasks engaged with a non-cooperative negotiation approach respecting negotiators' private information [54][55][56][57][58][59][60][61][62][63][64][65][66].…”

Section: Negotiation Approachesmentioning

confidence: 99%

“…A similar work is also studied in [65]. Recently, the authors in [66] propose a multi-agent system to collectively optimize the energy flows of a neighborhood of prosumers with private objective functions, which bilaterally negotiate with an aggregator only to reduce their purchasing cost.…”

Section: Negotiation Approachesmentioning

confidence: 99%

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SALSA: A Formal Hierarchical Optimization Framework for Smart Grid

Azar¹

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The smart grid, by the integration of advanced control and optimization technologies, provides the traditional grid with an indisputable opportunity to deliver and utilize the electricity more efficiently. Building smart grid applications is a challenging task, which requires a formal modeling, integration, and validation framework for various smart grid domains. The design flow of such applications must adapt to the grid requirements and ensure the security of supply and demand. This dissertation, by proposing a formal framework for customers and operations domains in the smart grid, aims at delivering a smooth way for: i) formalizing their interactions and functionalities, ii) upgrading their components independently, and iii) evaluating their performance quantitatively and qualitatively.The framework follows an event-driven demand response program taking no historical data and forecasting service into account. A scalable neighborhood of prosumers (inside the customers domain), which are equipped with smart appliances, photovoltaics, and battery energy storage systems, are considered. They individually schedule their appliances and sell/purchase their surplus/demand to/from the grid with the purposes of maximizing their comfort and profit at each instant of time. To orchestrate such trade relations, a bilateral multi-issue negotiation approach between a virtual power plant (on behalf of prosumers) and an aggregator (inside the operations domain) in a non-cooperative environment is employed. The aggregator, with the objectives of maximizing its profit and minimizing the grid purchase, intends to match prosumers' supply with demand. As a result, this framework particularly addresses the challenges of: i) scalable and hierarchical load demand scheduling, and ii) the match between the large penetration of renewable energy sources being produced and consumed. It is comprised of two generic multi-objective mixed integer nonlinear programming models for prosumers and the aggregator. These models support different scheduling mechanisms and electricity consumption threshold policies.The effectiveness of the framework is evaluated through various case studies based on economic and environmental assessment metrics. An interactive web service for the framework has also been developed and demonstrated.iii ResuméEt smart grid, ved at integrere avancerede styrings-og optimeringsteknologier, giver det traditionelle net en ubestridelig mulighed for at levere og udnytte el mere effektivt. Opbygning af smart grid applikationer er en udfordrende opgave, som kraever et formelt rammevaerk for modellering-, integration og validering af forskellige domaener. Designflowet af sådanne applikationer skal tilpasse sig netkravene og sikre forsynings-og efterspørgselssikker-heden. Denne afhandling, ved at foreslå et formelt rammevaerk for kundeog driftdomaener i smart grid, sigter mod at levere en smidig måde at: i) formalisere deres interaktioner og funktionaliteter, ii) opgradere deres komponenter uafhaengigt og iii) vurdere deres...

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A multi-agent system for energy trading between prosumers

Cited by 12 publications

References 4 publications

Putting Residential Flexibility Management into Action with Pilot Sites in Europe: From Mas2tering to DRIvE Projects

Putting Residential Flexibility Management into Action with Pilot Sites in Europe: From Mas2tering to DRIvE Projects

Fully distributed security constrained optimal power flow with primary frequency control

SALSA: A Formal Hierarchical Optimization Framework for Smart Grid

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