Multi agent systems and Arduino based smart micro-grid test bed

Raju, Leo; Morais, Antony Amalraj; Balaji, V.; Keerthivasan, S.

doi:10.1063/1.5127623

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…In Reference [39], authors used the Mega 2560 model to measure the temperature of PV modules by means of a network of digital temperature sensors. Arduino microcontroller has been used to verify the smart grid features [105]. In this study, a multi-agent approach was used to address the complexity issues in the microgrid network.…”

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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Section: Hardware Componentsmentioning

confidence: 99%

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

et al. 2021

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A Survey of Multi-Agent Systems for Smartgrids

Izmirlioglu,

Pham,

Son

et al. 2024

Energies

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This paper provides a survey of the literature on the application of Multi-agent Systems (MAS) technology for Smartgrids. Smartgrids represent the next generation electric network, as communities are developing self-sufficient and environmentally friendly energy production. As a cyber-physical system, the development of the vision of Smartgrids requires the resolution of major technical problems; this has fed over a decade of research. Due to the stochastic, intermittent nature of renewable energy resources and the heterogeneity of the agents involved in a Smartgrid, demand and supply management, energy trade and control of grid elements constitute great challenges for stable operation. In addition, in order to offer resilience against faults and attacks, Smartgrids should also have restoration, self-recovery and security capabilities. Multi-agent systems (MAS) technology has been a popular approach to deal with these challenges in Smartgrids, due to their ability to support reasoning in a distributed context. This survey reviews the literature concerning the use of MAS models in each of the relevant research areas related to Smartgrids. The survey explores how researchers have utilized agent-based tools and methods to solve the main problems of Smartgrids. The survey also discusses the challenges in the advancement of Smartgrid technology and identifies the open problems for research from the view of multi-agent systems.

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Multi agent systems and Arduino based smart micro-grid test bed

Cited by 2 publications

References 12 publications

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

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

A Survey of Multi-Agent Systems for Smartgrids

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