Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading

Gomes, Luís; Vale, Zita; Corchado, Juan M.

doi:10.1109/access.2020.2985254

Cited by 59 publications

(30 citation statements)

References 23 publications

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“…P2P can be used in local electricity market models incorporating both energy trading and uncertainty trading simultaneously to match the forecast power with demand having time flexibility and the uncertain power [48,49]. P2P transaction auction models and the deployment of platforms buildings will emerge economic and control mechanisms that allows the dynamic balance of supply and demand across the electrical infrastructure [50], with optimised real‐time scheduling and trading prices [51].…”

Section: Future Grid Architecturementioning

confidence: 99%

On the perspective of grid architecture model with high TSO‐DSO interaction

Betancourt-Paulino

Chamorro

González-Longatt

et al. 2021

IET Energy Syst Integration

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The conventional structure of operating transmission and distribution systems is currently experiencing new challenges in maintaining the system operability with the significant changes such renewable energy sources inclusion, technology development, infrastructure revolution, and services provision. A futuristic operation management paradigm at the high level of interaction between Transmission System Operators (TSOs) and Distribution System Operators (DSOs) is presented that supports the usage of flexibility services to simplify the congestion management, and ancillary services procurement by involving the DSO actively in the DSO‐TSO boundaries and the downstream network. The architecture considers new actors such as Distributed Services Aggregator, Prosumers, and Services Market Operators. A comparison between the typical grid structure (including the short‐term smart grid requirements) and the proposed one is presented considering different actors and interactions involved in the operation management of the grid. The opportunities and challenges of the proposed architecture are discussed.

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Section: Future Grid Architecturementioning

confidence: 99%

On the perspective of grid architecture model with high TSO‐DSO interaction

Betancourt-Paulino

Chamorro

González-Longatt

et al. 2021

IET Energy Syst Integration

View full text Add to dashboard Cite

show abstract

“…Another application with EVs to offers services for the network operator was presented by the authors of [17], who proposed the charging management of EVs to reduce the photovoltaic (PV) curtailment. Also, Peer-to-Peer (P2P) models have been proposed as another promising model for transacting electricity in LEM [18].…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [17] addressed the charging coordination for EVs but the possibility of negotiating local electricity was not considered. The authors of [18] showed a local market for electricity in a P2P model but did not include EVs.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Model for Energy Community Costs Minimization Considering a Local Electricity Market between Prosumers and Electric Vehicles

et al. 2021

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Electric vehicles have emerged as one of the most promising technologies, and their mass introduction may pose threats to the electricity grid. Several solutions have been proposed in an attempt to overcome this challenge in order to ease the integration of electric vehicles. A promising concept that can contribute to the proliferation of electric vehicles is the local electricity market. In this way, consumers and prosumers may transact electricity between peers at the local community level, reducing congestion, energy costs and the necessity of intermediary players such as retailers. Thus, this paper proposes an optimization model that simulates an electric energy market between prosumers and electric vehicles. An energy community with different types of prosumers is considered (household, commercial and industrial), and each of them is equipped with a photovoltaic panel and a battery system. This market is considered local because it takes place within a distribution grid and a local energy community. A mixed-integer linear programming model is proposed to solve the local energy transaction problem. The results suggest that our approach can provide a reduction between 1.6% to 3.5% in community energy costs.

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“…MG's consumers can be prosumers, who can both consume and generate energy [4]. Purchasing and selling power between participants in the energy industry is called power trading, which is developed based on the "Peer to Peer (P2P) economy" concept [5] which is a decentralized model whereby two individuals interact to buy/sell energy with each other. Unlike the decentralized mode, in the centralized method the MGs are not directly related to each other.…”

Section: Introductionmentioning

confidence: 99%

Optimized Power Trading of Reconfigurable Microgrids in Distribution Energy Market

et al. 2021

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Integrating Distributed Energy Resources (DERs) and Micro-Grid (MG) into a system evolved the traditional power system. In spite of their significant advantages, MGs may result in volatility and uncertainty in the power systems. For reliable operation of the grid, energy trading among MGs should be optimized to maintain a fair trading price, maximize participants' profit, and satisfy network constraints. In this paper, the optimal power trading among multiple reconfigurable MGs is formulated as a Mixed-Integer Nonlinear Programming (MINLP) considering all energy resources and their dynamic prices. In spite of the other methods in the literature, the proposed method minimizes the total cost (increase sales and decrease purchases) and transmission loss considering all energy resources in the MGs. In order to flatten the load profile, a time-based load profile is considered for the demand response program. The performance of the proposed model is evaluated on an IEEE 6-bus network as well as a modified IEEE 33-bus test system. The results verify that the proposed method, (i) determines the best configuration among MGs with a switching reduction of about 30%, (ii) optimizes the power generation of energy resources with 12% reduction in energy production, and (iii) optimizes the power trading costs with a 10% reduction in costs compared with the basic model without DR and trade that is introduced as Scen.1 in this paper.

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Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading

Cited by 59 publications

References 23 publications

On the perspective of grid architecture model with high TSO‐DSO interaction

On the perspective of grid architecture model with high TSO‐DSO interaction

An Optimization Model for Energy Community Costs Minimization Considering a Local Electricity Market between Prosumers and Electric Vehicles

Optimized Power Trading of Reconfigurable Microgrids in Distribution Energy Market

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