Microgrid management system based on a multi-agent approach: An office building pilot

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

doi:10.1016/j.measurement.2019.107427

Cited by 35 publications

(15 citation statements)

References 56 publications

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“…Figure 1 shows the architecture of the SBC used in µGIM. This architecture presents the needed modules for transactive energy; a complete detailed architecture of µGIM agents can be found in [33].…”

Section: The µGim Solutionmentioning

confidence: 99%

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

2020

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Smart grids concept benefits and leverage distributed management systems while allowing its players to actively participate in the smart grid. This paper merges the concepts of microgrid and transactive energy. The proposed model is tested in an office building with multiple tenants. An agentbased platform, running in single-board computers, for microgrid intelligent management with a peer-topeer energy transaction model is proposed in this paper. This paper describes the peer-to-peer transaction auction model and the deployment of the platform in an office building. The results regard a one-week period where the use of peer-to-peer transactions is compared with a scenario where no transactions among agents are performed. The results are promising, showing the energy price inside the microgrid dropping for the majority of players/agents. The presented work demonstrates how smart grid players can decrease their energy costs using simple approaches that do not require load shifting, consumption optimization nor the acquisition of new equipment.

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Section: The µGim Solutionmentioning

confidence: 99%

“…The µGIM platform was already tested regarding its abilities to monitor multiple facilities [33] and to execute a demand-side management algorithm in an office [30]. In this paper, µGIM agents are used to testing the proposed peer-topeer energy transaction model.…”

Section: The µGim Solutionmentioning

confidence: 99%

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

2020

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“…In the context of EMS, it can bring new possibilities for the integration and development of an operating system (OS). According to authors, it gives easy access to a high level of computation while providing the same input/output pins as a microcontroller [106]. In Reference [88], authors used a raspberry Pi (RPi) board to send information to a local data base for the supervisory control of a microgrid testbed.…”

Section: Hardware Componentsmentioning

confidence: 99%

A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications

et al. 2021

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The fast depletion of fossil fuels and the growing awareness of the need for environmental protection have led us to the energy crisis. Positive development has been achieved since the last decade by the collective effort of scientists. In this regard, renewable energy sources (RES) are being deployed in the power system to meet the energy demand. The microgrid concept (AC, DC) is introduced, in which distributed energy resources (DERs), the energy storage system (ESS) and loads are interconnected. DC microgrids are appreciated due to their high efficiency and reliability performance. Despite its significant growth, the DC microgrid is still relatively novel in terms of grid architecture and control systems. In this context, an energy management system (EMS) is essential for the optimal use of DERs in secure, reliable, and intelligent ways. Therefore, this paper strives to shed light on DC microgrid architecture, control structure, and EMS. With an extensive literature survey on EMSs’ role, different methods and strategies related to microgrid energy management are covered in this article. More attention is centered on the EMS for DC microgrids in terms of size and cost optimization. A very concise analysis of multiple optimization methods and techniques has been presented exclusively for residential applications.

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“…A multi-agent system (MAS) is composed of multiple agents that behave autonomously, but at the same time interact with each other, in order to perform tasks and to achieve a set of goals; they use their intelligence to accomplish the goals and react to environment changes [ 23 ]. On these systems, each agent has limited resources or incomplete information, so it is restricted in its capabilities, promoting decentralized systems and asynchronous communications [ 24 ].…”

Section: Context-aware Multi-agent Systemmentioning

confidence: 99%

Recommendation of Workplaces in a Coworking Building: A Cyber-Physical Approach Supported by a Context-Aware Multi-Agent System

Gomes

Almeida

Vale

2020

Sensors

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Recommender systems are able to suggest the most suitable items to a given user, taking into account the user’s and item`s data. Currently, these systems are offered almost everywhere in the online world, such as in e-commerce websites, newsletters, or video platforms. To improve recommendations, the user’s context should be considered to provide more accurate algorithms able to achieve higher payoffs. In this paper, we propose a pre-filtering recommendation system that considers the context of a coworking building and suggests the best workplaces to a user. A cyber-physical context-aware multi-agent system is used to monitor the building and feed the pre-filtering process using fuzzy logic. Recommendations are made by a multi-armed bandit algorithm, using ϵ -greedy and upper confidence bound methods. The paper presents the main results of simulations for one, two, three, and five years to illustrate the use of the proposed system.

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Microgrid management system based on a multi-agent approach: An office building pilot

Cited by 35 publications

References 56 publications

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

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

A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications

Recommendation of Workplaces in a Coworking Building: A Cyber-Physical Approach Supported by a Context-Aware Multi-Agent System

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